研究生: |
李浚誠 Li, Jyun-Cheng |
---|---|
論文名稱: |
探討迷因類別、對幽默的需求與從眾線索對廣告效果之影響 Explore the impact of Meme types, Need for Humor, and Bandwagon cues on advertising effectiveness. |
指導教授: |
林慧斐
Lin, Hui-Fei |
口試委員: |
林慧斐
Lin, Hui-Fei 蔣旭政 Chiang, Hsu-Cheng 陳聖智 Chen, Sheng-Chih |
口試日期: | 2024/09/12 |
學位類別: |
碩士 Master |
系所名稱: |
大眾傳播研究所 Graduate Institute of Mass Communication |
論文出版年: | 2024 |
畢業學年度: | 113 |
語文別: | 中文 |
論文頁數: | 226 |
中文關鍵詞: | Instagram 、迷因廣告 、迷因類別 、對幽默的需求 、從眾線索 、廣告涉入度 、廣告效果 |
英文關鍵詞: | Instagram, meme marketing, meme type, Need for humor, bandwagon cues, advertising involvement, advertising effect |
研究方法: | 實驗設計法 |
DOI URL: | http://doi.org/10.6345/NTNU202401953 |
論文種類: | 學術論文 |
相關次數: | 點閱:576 下載:5 |
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隨著短影音、圖像文化於社群媒體上的蓬勃發展,閱聽眾的眼球被形形色色的圖像鯨吞蠶食,注意力得以匱乏,此時「迷因」的簡單性與幽默性等特性易攫取閱聽眾的眼球。故此,迷因的能見度在廣告行銷的使用上逐漸提高,由於迷因傳播快速、成本低廉且更能獲得交流性的回饋。迷因廣告與行銷有助於提升企業與消費者之間的互動,從中能構建出信任感,最終提高廣告效果(品牌回憶與線上分享意願)。 此外,「幽默需求」的個體差異,也成為許多研究亟欲探討的變項之一,行銷廣告商能探討哪種廣告能吸引不同幽默水準差異的消費者,成為從業人員確立迷因廣告可行性的基礎,剖析高幽默、低幽默需求消費者適用於何種迷因類別的廣告。因此本研究以幽默傳播、迷因文獻為基礎,探究有趣的迷因在社群媒體行銷中的使用,旨在確定品牌相關貼文中運用的有趣迷因是否會提高廣告效果,同時也加入廣告涉入度作為中介變項。
本研究採2(迷因類別:有趣/嚴肅) x 2 (對幽默的需求:高/低)x 2 (從眾線索:高/低)三因子組間實驗設計,探討消費者經由三者變項交互作用下,對消費者產生的廣告效果影響,以及廣告涉入度在自變項(迷因類別、對幽默的需求、從眾線索)與依變項(品牌回憶、 品牌態度、購買意願、線上分享意願)之間的中介效果。
研究結果顯示,(1)有趣迷因相較於嚴肅迷因更能引發消費者較佳之品牌回憶、品牌態度和線上分享意願;(2)高從眾線索相較於低從眾線索更能引發消費者較佳之廣告效果;(3)在觀看迷因廣告的情境中,高幽默需求的消費者觀看有趣迷因會引發較佳的品牌回憶、品牌態度與購買意願;(4) 在觀看迷因廣告的情境中,高幽默需求的消費者觀看高從眾線索的有趣迷因會引發較佳之品牌回憶、品牌態度、線上分享意願;(5)廣告涉入度能部分顯著中介自變項與依變項之間的關係。
Along with the flourishing development of short videos and image culture on social media, audiences' attention is being devoured by the diversity of images. Ultimately, it leads social media users to have the scarcity of attention. Consequently, the simplicity and humor of "meme" easily catches the social media users’ attention. Therefore, the visibility of memes in advertising and marketing is gradually increasing due to meme’s rapid dissemination, low cost, and the feature of obtaining interactive feedback. Meme advertising and marketing contribute to enhancing interaction between businesses and consumers, fostering trust, and ultimately improving advertising effects (brand recalls and online sharing intentions). Additionally, the individual differences in "Need for humor" have become one of the variables that many studies are eager to explore. Marketers can investigate which advertisements can attract consumers’ attention with different levels of Need for humor, thus establishing the feasibility of meme advertising. Accordingly, this study is in accordance with the literatures of humor communication and meme that explores the usage of funny memes in social media marketing. Importantly, this study determines whether the usage of funny memes in brand-related posts enhances advertising effects or not. In addition, advertising involvement is included as a mediating variable in this study.
Specifically, this study adopted a two (meme type : funny vs. serious)× two (Need for humor : high vs. low)× two (bandwagon cues : high vs. low) three-factor between-subject experimental design to explore the effect of these three factors on advertising effects. Plus, this study examined the mediating effects of advertising involvement on the relationships between relevant independent variables and dependent variables (brand recall, brand attitude, purchase intention, and online sharing intention).
To sum up, the results of this study demonstrated that (1) Compared with serious meme advertisements, funny meme advertisements generated more favorable brand recalls, brand attitudes and online sharing intentions from consumers; (2) The Advertisements with high bandwagon cues produced more favorable advertising effects than those advertisements with low bandwagon cues; (3) When watching the funny meme advertising, the consumers with high Need for humor generated more favorable brand recalls, brand attitudes and purchase intentions than those with low Need for humor; (4) When watching marketing memes, consumers who have high Need for humor watching funny meme advertisements with high bandwagon cues generated more favorable brand recalls, brand attitudes and online sharing intentions; and (5) advertising involvement partly and significantly mediate the relationships between relevant independent variables and dependent variables.
《網紅行銷報告書》(無日期)。取自https://reurl.cc/V4kWe5
唐日新、葉耀仁(2011)。〈應用推敲可能性模型探討部落格行銷效果:以旅遊部落格為例〉。《中山管理評論》,19(3),517-555。
翁婉如、邱郁琇、王又鵬(2004)。〈網路廣告設計呈現方式對廣告價值,廣告效果的影響-以產品涉入與廣告涉入為干擾效果之探討〉。《科技整合管理國際研討會》,400-416。
陳佳雯(2017)。〈探討美食圖片內容力及社群影響力對按讚行為之影響-以Instagram 為例〉。《國立中山大學資訊管理研究所碩士論文》,1-99。
陳淑蓉、陳學志(2005)。〈幽默感的定義與測量:多向度幽默感量表之編製〉。《應用心理研究》,26,167-187。
黃君珺(2020)。〈以人際互動視角探討Instagram使用者追蹤微名人之動機與實踐〉《國立政治大學傳播學院傳播碩士學位學程學位論文》。 https://hdl.handle.net/11296/3366g7。
黃語陶(2020)。〈Instagram上影片與相片之廣告效果比較研究〉。《國立政治大學傳 播學院傳播碩士學位學程學位論文》,1-77。
楊朝明、郭凱婷(2013)。〈電視廣告音樂之形態在不同廣告涉入度下對廣告效果的影響〉。《設計學報》,2,25-47。
樊景立、鄭伯壎(2000)。〈華人組織的家長式領導:一項文化觀點的分析〉。《本土心理學研究》,13,127-180。
練乃華、留淑芳(2003)。〈廣告圖片效果態度中介模式之研究〉。《管理評論》,22(4),35-55。
鄭靜宜、林欣怡(2011)。〈解析女性服裝意象語彙之變遷─以1996~2004年Vogue Taiwan 雜誌為例〉。《設計學報(Journal of Design)》,16(2),87-111。
戴蓉(2023)。〈迷因廣告新趨勢?以行銷廣告從業人員的角度探討網路迷因是否能成為好的廣告工具〉。《國立中山大學企業管理學系碩士論文》,1-95。
魏敏伊(2017 年 12 月 11 日)。〈限時動態、主題標籤怎麼用?經營 Instagram 官方帳號的 5 大 重點〉。數位時代。https://reurl.cc/A7n9ge
懶人包(無日期)。「可憐哪」、「黑人問號」、「我就爛」這些梗圖的由來你知道嗎?取自 https://onepage.nownews.com/novel/strange/meme
蘇文達(2002)。〈個人因素對不同類型幽默廣告效果之影響: 情感密集度之角色探討〉。《碩士論文,國立臺灣大學商學研究所》。臺灣博碩士論文知識加值系統。https://hdl.handle.net/11296/b938ah
吳修豪(2022年,10月26日)。如何讓消費者買單? 多管道累積購買意願是關鍵。〈就是文章〉。取自 https://www.just-adtech.com/multichannel-marketing/
林陽助、陳凱鈞、李晨帆(2011)。 〈品牌形象與產品知識對廣告效果之影響-以置入性行銷電影為例〉。《科際整合管理研討會》,318-331。https://www.scu.edu.tw/ba/2011conference/PDF/235511-02.pdf
陳鈺期(2021)。〈網路迷因、從眾行為對購買意願關係之研究–以《鬼滅之刃》電影為例〉。《崑山科技大學媒體藝術研究所學位論文》,1-93。
李欣慧(2019)。〈網路模因病毒特性影響品牌形象之探討〉。《中山醫學大學健康餐飲暨產業管理學系學位論文》, 1-53。
BeautiMode(2017年3月20日)。〈網路圖文Meme入侵時尚界!Gucci打造最詼諧有趣的社群媒體活動 讓你忍不住手滑分享〉。BeautiMode創意生活風格網。https://www.beautimode.com/article/content/82981/
小秋(2017年11月23日)。網路夯圖《分心男友》後續故事 這一對情侶可以演個八點檔了。宅宅新聞。取自 https://news.gamme.com.tw/1532710
Yang, S. (2019年12月28日)。〈IG 數據總整理:你必須知道的 16 個成效指標〉。Medium。https://medium.com/engaged-ai/instagram-must-know-metrics-e50f887bdb74
何萬順。(2020年9月4日)。〈像極了愛情,更像是病毒!網路流行語是怎麼造出來的?〉。獨立評論。出自https://opinion.cw.com.tw/blog/profile/351/article/9877
Strikingly(2021年2月5日)。〈網路梗圖竟然能為你的行銷賦能?幾分鐘瞭解有關meme的相關內容!〉the strikingly blog。https://tw.strikingly.com/content/blog/meme/
KOL Radar. (2021年12月26日)。〈品牌現象級業配洞察,網紅獨特內容切角創造社群高人氣〉。Kol Radar。https://www.kolradar.com/blog/trend-sharing/phenomenal-advertorial/
余心彤(2022年10月12日)。〈覆蓋率較一般行銷圖文高 10 倍!善用迷因提升社群熱度,操作手法有眉角〉。未來商務。https://fc.bnext.com.tw/articles/view/2487?
Strikingly(2023年1月18日)。〈時下最夯的行銷手段之一——迷因行銷〉the strikingly blog。https://reurl.cc/Xm7Kve
Kevin(2023年7月15日)。〈迷因行銷怎麼玩?善用迷因3大特質引爆全網話題〉。Kevins-life。https://kevins-life.com/meme-marketing/
OOSGA(2023年10月20日)。2023年Instagram用戶分佈與成長前景如何?主要趨勢為何? 取自 https://zh.oosga.com/instagram-overview/
Chen, C(2023年12月27日)。2024 年必須知道的 Instagram 統計數據。Learning hub。取自https://www.hububble.co/blog/2019年你必須知道的instagram統計數據
黃薇蓁(2022)。〈網路迷因生成密碼與核爆行銷 :以吳萼洋「蜂蜜檸檬之亂」為例〉。《逢甲大學行銷學系全球行銷碩士論文》,1-177。
余億盈(2016)。〈衝動購買傾向、流行意識與廣告涉入程度對消費者購買意願之影響〉。《北商學報》,1-24。
英文文獻
Adobe Express. (2023, November 11). Meme marketing: how to make memes part of your marketing strategy. Adobe Express. Retrieved from https://www.adobe.com/express/learn/blog/meme-marketing
Ajayi, T. M. (2020). Beyond Joking: A Pragmatic (De)construction of “Nigerian Realities” in Selected Humour-Evoking Facebook Memes. Israeli Journal for Humor Research, 9(1), 47-71.
Akram, U., Irvine, K., Allen, S. F., Stevenson, J. C., Ellis, J. G., & Drabble, J. (2021). Internet memes related to the COVID-19 pandemic as a potential coping mechanism for anxiety. Scientific Reports, 11(1), 22305.
Alba, J. W., Lynch, J. G., & Hutchinson, J. W. (1991). Memory and decision making. Handbook of Consumer Behavior, 1-49.
Alden, D. L., Mukherjee, A., & Hoyer, W. D. (2000). The effects of incongruity, surprise, and positive moderators on perceived humor in television advertising. Journal of Advertising, 29(2), 1–15. https://doi.org/10.1080/00913367.2000.10673605
Alhabash, S., & McAlister, A. R. (2015). Redefining virality in less broad strokes: Predicting viral behavioral intentions from motivations and uses of Facebook and Twitter. New Media & Society, 17(8), 1317–1339. doi: https://doi.org/10.1177/ 1461444814523726.
Alhabash, S., McAlister, A. R., Quilliam, E. T., Richards, J. I., & Lou, C. (2015). Alcohol’s getting a bit more social: When alcohol marketing messages on Facebook increase young adults’ intentions to imbibe. Mass Communication & Society, 18, 350–375. doi: https://doi.org/10.1080/15205436.2014.945651.
Allsop, D. T., Bassett, B. R., & Hoskins, J. A. (2007). Word-of-mouth research: Principles and applications. Journal of Advertising Research, 47(4), 398-411.
Anderson, K. C., Knight, D. K., Pookulangara, S., & Josiam, B. (2014). Influence of hedonic and utilitarian motivations on retailer loyalty and purchase intention: a facebook perspective. Journal of Retailing and Consumer Services, 21(5), 773-779.
Andrews, J. C., Durvasula, S., & Akhter, S. H. (2001). A Frame-work for Conceptualizing and Measuring the Involvement Construct in Ad-vertising Research. Journal of Advertising, 19 (4), 27–40.
Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79-95.
Apsler, R., & Sears, D. O. (1968). Warning, Personal Involvement, and Attitude Change. Journal of Personality and Social Psychology, 9(2), 162–66.
Areni, C. S., & Lutz, R. J. (1988). The role of argument quality in the elaboration likelihood model. Advances in Consumer Research, 15(1), 197-203.
Assael, H. (2004). Consumers Behavior and Marketing Action (Vol. Edisi 3). Cincinatti, Cincinatti, South Western College: OH.
Aurifeille, J. M., Quester, P. G., Lockshin, L., & Spawton, T. (2002). Global vs. international involvement-based segmentation. International Marketing Review, 19(4-5), 369–386.
Baack, D. W., Wilson, R. T., & Till, B. D. (2008). Creativity and memory effects: Recall, recognition, and an exploration of nontraditional media. Journal of Advertising, 37(4), 85-94.
Baddeley, A. (2012). Working Memory: Theories, Models, and Controversies. Annu Rev Psychol. 63(1), 1–29.
Bagozzi, R. P. (1981). Attitudes, intentions, and behavior: a test of some key hypotheses. Journal of Personality and Social Psychology, 41(4), 607-627.
Bakhshi, S., Shamma, D. A., & Gilbert, E. (2014). Faces engage us: Photos with faces attract more likes and comments on Instagram. In Proceedings of the SIGCHI conference on human factors in computing systems, 965-974
Bampo, M., Ewing, M. T., Mather, D. R., Stewart, D., & Wallace, M. (2008). The effects of the social structure of digital net- works on viral marketing performance. Information Systems Research, 19(3), 273–290. Doi: https://doi.org/10.1287/isre. 1070.0152
Bansal, I. (2020, Jul 02). How Meme Marketing has helped Balenciaga achieve success. The Strategy Story. Retrieved from https://thestrategystory.com/2020/07/02/meme-marketing-balenciaga/
Barker, J. (2022, November 10). National Meme Day: New study finds memes help to alleviate symptoms of anxiety and depression. Sheffield Hallam University. Retrieved from https://www.shu.ac.uk/news/all-articles/latest-news/meme-research
Baron, R. M., & Kenny, D. A. (1986). The Moderator-Mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Barry, J. M., & Graça, S. S. (2018). Humor effectiveness in social video engagement. Journal of Marketing Theory and Practice, 26(1-2), 158-180. doi: 10.1080/10696679.2017.1389247
Batra, R., & Ray, M. L. (1983). Operationalizing involvement as depth and quality of. cognitive response. ACR North American Advances.
Bauckhage, C. (2011). Insights into internet memes. In Proceedings of the International AAAI Conference on Web and Social Media, 5(1), 42-49.
Belch, G. (2004). Advertising and Promotion – An Integrated Marketing Communications Perspective. 6th ed. New York: McGraw-Hill.
Belch, G. E., & Belch, M. A. (1984). An investigation of the effects of repetition on cognitive and affective reactions to humorous and serious television commercials, in NA - Advances in Consumer Research Volume 11, eds. Thomas C. Kinnear, Provo, UT : Association for Consumer Research, 4-10.
Benaim, M. (2018). From symbolic values to symbolic innovation: internet-memes and innovation. Research Policy, 47(5), 901-910.
Berthon, P., Hulbert J. M., & Pitt, L. (2016). Consuming Technology: Why Marketers Sometimes. California Management Review, 48(1), 110–128.
Beukeboom, C. J., Kerkhof, P., & de Vries, M. (2015). Does a virtual like cause actual liking? How following a brand's Facebook updates enhances brand evaluations and purchase intention. Journal of Interactive Marketing, 32, 26-36.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: an elaboration likelihood model. MIS Quarterly, 805-825.
Bigné, E., Ruiz-Mafé, C. & Badenes-Rocha, A. (2023). The influence of negative emotions on brand trust and intention to share cause-related posts: A neuroscientific study. Journal of Business Research, 157, 113628.
Blackmore, S. (1999), The forget-meme-not theory, times higher education supplement. Available from: https://www.susanblackmore.uk/journalism/the-forget-meme-not-theory/ [Last accessed on 2019 Feb 14].
Blumler, J. G., & Katz, E. (1974). the uses of mass communications: current perspectives on gratifications research. Sage Annual Reviews of Communication Research Volume III.
Bock, G. W., Mud, R. W., Kim, Y. G., & Lee, J. N. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological factors, and organizational climate. MIS Quarterly, 29(1), 87−111.
Bohner, G., Elisabeth, F., & Erb, H. P. (1998). Heuristic Processing of Distinctiveness Information in Minority and Majority Influence. European Journal of Social Psychology, 28 (5), 855–860.
Bohner, G., Moskowitz, G. B., & Chaiken, S. (1995). The Interplay of Heuristic and Systematic Processing of Social Information. European Review of Social Psychology, 6, 33-68.
Bohner, G., Ruder, M., & Erb, H. P. (2002). When Expertise Backfires: Contrast and Assimilation Effect in Persuasion. Journal of Social Psychology, 41, 495–519.
Borah, A., Banerjee, S., Lin, Y. T., Jain, A., & Eisingerich, A. B. (2020). Improvised marketing interventions in social media. Journal of Marketing, 84(2), 69–91.
Börzsei, L. K. (2013). Makes a meme instead. The Selected Works of Linda Börzsei, 1-28.
Bowen, L., & Chaffee, S. H. (1974). Product involvement and pertinent advertising appeals. Journalism Quarterly, 51(4), 613-621.
Bowo, F. A., Anisah, A., & Marthalia, L. (2024). Meme Marketing: generation Z consumer behavior on social media. Journal Indonesia Sosial Sains, 5(02), 188-201.
Brian, B. (2017, Aug 28). The 'Distracted Boyfriend' Meme's Photographer Explains All. Wired. Retrieved from https://www.wired.com/story/distracted-boyfriend-meme-photographer-interview/
Brideau, K., & Berret, C. (2014). A brief introduction to impact:‘the meme font’. Journal of Visual Culture, 13(3), 307-313.
Brodie, R. (2009). Virus of the mind: The new science of the meme. Hay House, Inc.
Brown, M. R., Bhadury, R. K., & Pope, L. (2010). The impact of comedic violence on viral advertising effectiveness. Journal of Advertising, 39(1), 49–66. https://doi.org/10.2753/JOA0091-3367390104
Brubaker, P. J., Church, S. H., Hansen, J., Pelham, S., & Ostler, A. (2018). One does not simply meme about organizations: exploring the content creation strategies of user-generated memes on imgur. Public Relations Review, 44(5), 741-751.
Burdisso, S. G., Errecalde, M., & Montes-y-Gómez, M. (2019). A text classification framework for simple and effective early depression detection over social media streams. Expert Systems with Applications, 133, 182-197.
Burton, J. (2019). Look at us, we have anxiety: youth, memes, and the power of online cultural politics. Journal of Childhood Studies, 3-17.
Bury, B. (2016). Creative Use of Internet Memes in Advertising. World Scientific News, 57(57), 33– 41.
Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116-131. doi: https://doi.org/10.1037/0022-3514.42. 1.116
Cacioppo, J. T., & Petty, R. E. (1984). The need for cognition: Relationship to atti-tudinal processes. In R. P. McGlynn, J. E. Maddux, C. D. Stoltenberg & J. H. Harvey (Eds.), Social perception in clinical and counseling psychology, 91-119. Texas Tech University Press.
Campbell, C., Marks, LJ. (2015). Good native advertising is not a secret. Business Horizons, 58(6), 599-606.
Cantor, J., & Venus, P. (1980). The effect of humor on recall of a radio advertisement. Journal of Broadcasting, 24, 13-22.
Carter, I. (2009). Positive and negative experiences of parents involved in online self-help groups for autism. Journal on Developmental Disabilities, 15(1), 44-52.
Castaño Díaz, C. M. (2013). Defining and characterizing the concept of Internet Meme. Ces Psicología, 6(2), 82-104.
Catanescu, C., & Tom, G. (2001). Types of humor in television and magazine advertising. Review of business, 22, 92-95.
Chaffey, D. (2023). 2023 average ad click through rates (CTRs) for paid search, display and social media. Smart Insights. https://www.smartinsights.com/internet-advertising/internet-advertising-analytics/displayadvertising-clickthrough-rates/
Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752–766. doi: https://doi.org/10.1037/0022-3514.39.5.752
Chaiken, S., & Ledgerwood, A. (2012). A theory of heuristic and systematic information processing. Handbook of Theories of Social Psychology, 1, 246-266. doi: https://doi.org/10.4135/9781446249215.n13
Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460–473. doi: https://doi.org/10.1037/0022-3514.66.3.460
Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460-473.
Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 212–252). The Guilford Press.
Chan, F. F. Y., & Lowe, B. (2021). Placing products in humorous scenes: its impact on brand perceptions. European Journal of Marketing, 55(3), 649-670.
Chang, C. (2004). Country of origin as a heuristic cue: The effects of message ambiguity and product involvement. Media Psychology, 6(2), 169–192. doi: https://doi.org/ 10.1207/s1532785xmep0602_3.
Chattopadhyay, A., & Basu, K. (1990). Humor in advertising: The moderating role of prior Brand evaluation. Journal of Marketing Research, 27, 466–76.
Chaudhuri, A. (1999). Does brand loyalty mediate brand equity outcomes?. Journal of Marketing Theory and Practice, 7(2), 136-146.
Chen, S., Chaiken, S. (1999). The Heuristic-Systematic Model in its Broader Context.
Chiakon, S., Akiva, L., & Eagly, A. H. (1989). Heu-ristic and Systematic Information Processing within and beyond the Persuasion Context, in Unintended Thought: Limits of Awareness, Intention, and Control, ed. J.S. Uleman and J.A. Bargh, New York: Guilford, pp. 212-252.
Cho, C. H. (1999). How advertising works on the WWW: modified elaboration likelihood model. Journal of Current Issues & Research in Advertising, 21(1), 34-50.
Choi, W., & Lee, Y. (2019). Effects of fashion vlogger attributes on product attitude and content sharing. Fashion and Textiles, 6(1), 6. https://doi.org/10.1186/s40691-018-0161-1
Chovanec, J., & Tsakona, V. (2018). Investigating the dynamics of humour. creating and Negotiating Humour in Everyday Interactions, Amsterdam: John Benjamins, 1-26.
Chu, X., Liu, Y., Chen, X., & Ling, H. (2020). Whose and what content matters? Consumers’ liking behavior toward advertisement in microblogs. Journal of Electronic Commerce Research, 21(4), 252–276.
Chuah, K. M., Kahar, Y. M., & Ch’ng, L. C. (2020). We “meme” business: Exploring Malaysian youths’ interpretation of internet memes in social media marketing. International Journal of Business and Society, 21(2), 931–944. doi: 10.33736/ijbs.3303.2020
Chung, H., & Zhao, X. (2011). The effects of humor on ad processing: Mediating role of brand familiarity. Journal of Promotion Management, 17(1), 76–95. doi: 10.1080/10496491.2011.553788
Chwialkowska, A. (2019). How sustainability influencers drive green lifestyle adoption on social media: the process of green lifestyle adoption explained through the lenses of the minority influence model and social learning theory. Management of Sustainable Development, 11(1), 33-42.
Cialdini, R. B. (2009). Influence: Science and practice (Vol. 4). Boston, MA: Pearson education.
Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58(6), 1015-1026.
Cline, T. W., & Kellaris, J. J. (2007). The influence of humor strength and humor-message relatedness on ad memorability: A dual process model. Journal of Advertising, 36(1), 55-67. doi: 10.2753/JOA0091-3367360104.
Cline, T. W., Altsech, M. B., & Kellaris, J. J. (2003). When does humor enhance or inhibit ad responses? The moderating role of need for humor. Journal of Advertising, 32(3), 31–45. doi: 10.1080/00913367.2003.10639134
Cline, T. W., Kellaris, J. J., & Machleit, K. A. (2011). Consumers’ Need For Levity in Advertising Communications, Journal of Marketing Communications, 17(1), 17-35.
Cline, T. W., Machleit, K., & Kellaris, J. (1999). “Is There a Need for Levity?” in Proceedings of the Society for Consumer Psychology 1998 Winter Conference, K. A. Machleit and M. Campbell, eds., Austin: American Psychological Association.
Cline, T.W., & Kellaris, J.J. (1999). The joint impact of humor and argument strength in a print advertising context: A case for weaker arguments. Psychology and Marketing, 16(1), 69–86.
Cockney, P. (2022, March 01). Marketing 101: The birth of Meme Marketing. Posh Cockney London. Retrieved from https://www.poshcockney.co.uk/marketing-101-the-birth-of-meme-marketing/
Cole, A. (2018). More than a trend: Meme marketing is here to stay. Forbes. Retrieved from https://www.forbes.com/sites/forbesagencycouncil/2018/07/19/more-than-a-trend-meme-marketing-is-here-to-stay/?sh=456dcfec2487
Cole, S. (2011). Epic win for Anonymous: How 4chan's army conquered the web. New York: Overlook Duckworth. Snyder, I. (2001). ‘A New communication order: Research literacy practices in the Network society’, Language and Education, 15(2-3), 117-131. doi: http://www.tandfonline.com/doi/pdf/10.1080/09500780108666805.
Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82(6), 407–428.
Conway, M., & Dubé, L. (2002). Humor in persuasion on threatening topics: Effectiveness is a function of audience sex role orientation. Personality and Social Psychology Bulletin, 28(7), 863-873.
Coronel, J. C., O’Donnell, M. B., Pandey, P., Delli Carpini, M. X., & Falk, E. B. (2021). Political humor, sharing, and remembering: Insights from neuroimaging. Journal of Communication, 71(1), 129-161.
Courbet, D., Fourquet-Courbet, M. P., Kazan, R., & Intartaglia, J. (2014). The long-term effects of e-advertising: The influence of internet pop-ups viewed at a low level of attention in implicit memory. Journal of Computer-Mediated Communication, 19(2), 274-293.
Courbet, D., Fourquet-Courbet, M. P., Kazan, R., & Intartaglia, J. (2014). The long-term effects of e-advertising: the influence of internet pop-ups viewed at a low level of attention in implicit memory. Journal of Computer-Mediated Communication, 19(2), 274-293.
Crawford, H. J., & Gregory, G. D. (2011). Cross cultural responses to humorous advertising: An individual difference perspective. ACR Asia-Pacific Advances.
Csordás, T., Horváth, D., Mitev, A., & Markos-Kujbus, É. (2017). 4.3 User-Generated Internet Memes as Advertising Vehicles: Visual Narratives as Special Consumer Information Sources and Consumer Tribe Integrators. Commercial Communication in the Digital Age, 247–265. doi: https://doi.org/10.1515/9783110416794-014
Csordás, T., Horváth, D., Mitev, A., & Markos-Kujbus, É. (2017). 4.3 user-generated internet memes as advertising vehicles: Visual narratives as special consumer information sources and consumer tribe integrators. Commercial communication in the digital age: information or disinformation, 247-266.
Davis, C. A., Heiman, J. R., & Menczer, F. (2015). A role for network science in social norms intervention. Procedia Computer Science, 51, 2217–2226.
Davis, C. B., Glantz, M., & Novak, D. R. (2016). “You can't run your SUV on cute. let's go!”: internet memes as delegitimizing discourse. Environmental Communication, 10(1), 62-83.
Davis, F. (1994). Fashion, culture, and identity. University of Chicago Press.
Davison, P. (2012). The language of internet memes. The Social Media Reader, 120-134.
Dawkins, R. (2006). The selfish gene. Oxford: Oxford University Press.
De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83-91.
Díaz, C. (2013). Defining and characterizing the concept of Internet Meme. CES Psicología, 6(2), 82-104. http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S2011- 30802013000200007&lng=en&tlng=en.
Dixon, P. N., Willingham, W., Donald A. S., & Chandler, C. K. (1989). Sense of Humor as a Mediator During Incidental Learning of Humor-Related Material. Psychological Reports, 64, 851–855.
Dobele, A., Toleman, D., & Beverland, M. (2005). Controlled infection! Spreading the brand message through viral mar-keting. Business Horizons, 48(2), 143–149. doi: https://doi.org/10.1016/j.bushor.2004.10.011
Dolan, R., Conduit, J., Frethey-Bentham, C., Fahy, J., & Goodman, S. (2019). Social media engagement behavior: A framework for engaging customers through social media content. European Journal of Marketing, 53(10), 2213-2243.
Dolich, I. J. (1969). Congruence relationships between self images and product brands. Journal of Marketing Research, 6(1), 80-84.
Dubois, B., & Laurent, G. (1994). Attitudes towards the concept of luxury: An exploratory analysis. ACR Asia-Pacific Advances, 273-278.
Duncan, C. P., & Nelson, J. E. (1985). Effects of humor in a radio advertising experiment. Journal of Advertising (pre-1986), 14(2), 33-64.
Dupuis, M. J., & Williams, A. (2019). The spread of disinformation on the web: an examination of memes on social networking. In 2019 IEEE SmartWorld, Ubiquitous ntelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, pp. 1412-1418.
Dynel, M. (2016). “I has seen image macros!” Advice animal memes as visual-verbal jokes. International Journal of Communication, 10, 660–688.
Dynel, M. (2021). COVID-19 memes going viral: On the multiple multimodal voices behind face masks. Discourse & Society, 32(2), 175-195. doi: https://doi.org/10.1177/0957926520970385
Eagly, A. E., & Chaiken, S. (1993). Process theories of attitude formation and change: The elaboration likelihood model and heuristic systematic models. In A. E. Eagly, & S. Chaiken (Eds.), The psychology of attitudes, 305–325. Harcourt brace Jovanovich college publishers.
Eagly, A.H., & Chaiken., S. (1993). The Psychology of Attitudes. Orlando, FL: Harcourt Brace Jovanovich College Publishers.
Eguren, J., Antúnez, L., Otterbring, T., Curutchet, M. R., & Ares, G. (2021). Health gains through loss frames: Testing the effectiveness of message framing on citizens' use of nutritional warnings. Appetite, 166, 105469.
Eisend, M. (2009). A Meta-Analysis of humor in advertising. Journal of the Academy of Marketing Science, 37, 191–203.
Eisend, M. (2011). How humor in advertising works: A meta-analytic test of alternative models. Marketing Letters, 22, 115–32.
Eisend, M. (2018). Explaining the use and effects of humour in advertising: An evolutionary per-spective. International Journal of Advertising, 37, 526–547.
Eisend, M. (2022). The influence of humor in advertising: Explaining the effects of humor in two‐sided messsages. Psychology & Marketing, 39(5), 962-973.
Eisend, M., Plagemann, J., & Sollwedel, J. (2014). Gender roles and humor in advertising: The occurrence of stereotyping in humorous and nonhumorous advertising and its consequences for advertising effectiveness. Journal of Advertising, 43, 256–273.
Emeritus. (2023, January 19). What is Meme Marketing and How to Use Memes to Boost Brand Voice. Retrieved from https://emeritus.org/blog/sales-and-marketing-meme-marketing/
Fandos, C., & Flavian, C. (2006). Intrinsic and extrinsic quality attributes, loyalty and buying intention: an analysis for a PDO product. British Food Journal.
Farjam, M. (2020). The Bandwagon Effect in an Online Voting Experiment With Real Political Organizations. International Journal of Public Opinion Research, 33(2), 412–421. doi: https://doi.org/10.1093/ijpor/edaa008
Ferguson, M., & Ford, T. (2008). Disparagement humour: Atheoretical and empirical review of psychoanalytic, superiority, and social identity theories. Humour-International Journal of Humour Research, 21(3), 283-312. doi:10.1515/HUMOR.2008.014
Ferguson, S. (2023, September 27). Meme Marketing: 20 Hilarious Examples (& Our Top Tips). Wyzowl. Retrieved from https://www.wyzowl.com/meme-marketing/
Ferrara, E., JafariAsbagh, M., Varol, O., Qazvinian, V., Menczer, F., & Flammini, A. (2013). Clustering memes in social media. 2013 IEEE/ACM international conference on advances in social networks analysis and mining (asonam 2013). IEEE548–555.
Fischer, V. K. (2019). Unaided and aided brand recall in podcast advertising: an experiment in the role of source credibility's Impact on brand message efficacy. Texas State University, San Marcos, Texas. 1-39.
Flaherty, K., Weinberger, M. G., & Gulas, C. S. (2004). The impact of perceived humor, product type, and humor style in radio advertising. Journal of Current Issues & Research in Advertising, 26(1), 25-36.
Fleck, N., Korchia, M., & Le Roy, I. (2012). Celebrities in advertising: looking for congruence or likability?. Psychology & Marketing, 29(9), 651-662.
Freeman, R., Marder, B., Gorton, M., & Angell, R. (2023). Would you share that? How the intensity of violent and sexual humor, gender and audience diversity affect sharing intentions for online advertisements. Information Technology & People, 36(6), 2312-2337.
Freund, E. (2022). The influence of virtual try-on technology on luxury consumer purchase intentions. MSc Strategic Fashion Management, 1-40. doi: https://issuu.com/emilyhannahfreund/docs/rcb_summative_assessment
Fryklund, W., & Stenlund, E. (2023). Meme marketing’s effect on brand recall and sharing intention. Unpublished bachelor’s thesis. Karlstad University, Karlstad, Sweden.
Gal, N., Shifman, L., & Kampf, Z. (2016). “It gets better”: Internet memes and the construction of collective identity. New media & society, 18(8), 1698-1714.
Galdi, S., Arcuri, L., & Gawronski, B. (2008). Automatic mental associations predict future choices of undecided decision-makers. Science, 321(5892), 1100–1102. doi: https://doi.org/10.1126/science.1160769
Galloway, G. (2010). Individual differences in personal humor styles: identification of prominent patterns and their associates. Personality and Individual Differences, 48(5), 563-567.
Garcia, J. A. N., Luces, C. A. P., & Engay, B. Q. (2018). The Use of Memes as a Means of Expressing Political Views in Social Media Extension Program in Pampanga.
Gardner, M. P. (1987). The Effects of Mood States on Consumer Information Processing. Res Consum Behav. 2, 113–135.
Gaultier, J. P., & McDowell, C. (2000). Jean Paul Gaultier. Cassell. ISBN 10: 0304358797
Gavilanes, J. M., Flatten, T. C., & Brettel, M. (2018). Content strategies for digital consumer engagement in social networks: Why advertising is an antecedent of engagement. Journal of Advertising, 47(1), 4-23.
Gebreselassie, A. & Bougie, R. (2019). The meaning and effectiveness of billboard advertising in least developed countries: The case of Ethiopia. Journal of Promotion Management, 25(6), 827-860.
Gelb, B. (1997). Creating 'memes' whilst creating advertising. Journal of Advertising Research, 37(6), 57- 59.
Gelb, B. D. & Pickett, C. M. (1983). Attitude-Toward-The-Ad: Links to Humor and To Advertising Effectiveness. Journal of Advertising, 12(2), 34-42.
Gelb, B. D. & Zinkhan, G. M. (1986), Humor and Advertising Effec-tiveness after Repeated Exposures to a Radio Commercial. Journal of Advertising, 15(2), 15-20.
Gelb, B. D., & Zinkhan, G. M. (1985). The effect of repetition on humor in a radio advertising study. Journal of Advertising (pre-1986), 14(4), 13-68.
Gerlitz, C., & Helmond, A. (2013). The like economy: Social buttons and the data-intensive web. New Media & Society, 15(8), 1348-1365.
Gevorgyan, G., & Manucharova, N. (2015). The effects of cultural appeal, product involvement, and ethnic identity on attitudes and recall in online advertising. Chinese journal of communication, 8(2), 196-220.
Giannoulakis, S., & Tsapatsoulis, N. (2016). Evaluating the descriptive power of Instagram hashtags. Journal of Innovation in Digital Ecosystems, 3(2), 114-129.
Gigerenzer, G., & Todd, P. M. (1999). Fast and frugal heuristics: the adaptive toolbox. In Simple heuristics that make us smart (pp. 3-34). Oxford University Press.
Gigerenzer, G., & Todd, P. M., ABC Research Group. (2000). Simple heuristics that make us smart. Oxford University Press.
Gilliland, N. (2017, Oct 20). Memes in marketing: Seven memorable examples from brands. Econsultancy. Retrieved from https://econsultancy.com/memes-in-marketing-seven-memorable-examples-from-brands/
Go, E., Jung, E. H., & Wu, M. (2014). The effects of source cues on online news perception, Computers in Human Behavior, 38, 358-367. doi: https://doi.org/10.1016/j.chb.2014.05.044.
Göksu, F. (2010). Spor Ürünlerine Yönelik Marka Sadakati Üzerine Bir Araştırma. İstanbul University İletişim Fakültesi Dergisi, 39, 43-58.
Göksu, F. (2010). Spor urünlerine yönelik marka sadakati uzerine bir araştırma. İstanbul University İletişim Fakültesi Dergisi, 39, 43-58.
Golan, G. & Zaidner, L. (2008). Creative Strategies in Viral Advertising: An Application of Taylor’s Six-Segment Message Strategy Wheel. Journal of Computer-Mediated Communication, 13(4). 1083–6101.
Gordon, M. E., McKeage, K., & Fox, M. A. (1998). Relationship marketing effectiveness: the role of involvement. Psychology & Marketing, 15(5), 443-459.
Gordon, M.E., McKeage, K. & Fox, M.A. (1998). Relationship marketing effectiveness: the role of involvement. Psychology and Marketing, 15(5), 443-459.
Greenwald, A. G., & Leavitt, C. (1984). Audience involvement in advertising: four levels. Journal of Consumer Research, 11(1), 581-592.
Greifeneder, R., Bless, H., & Pham M. T. (2010). When do people rely on affective and cognitive feelings in judgment? A review. Personal Soc Psychol Rev, 15, 107–141.
Gruner, C. R. (1985). Advice to the beginning speaker on using humor—what the research tells us. Communication Education, 34(2), 142–147. doi:10.1080/03634528509378
Gruner, C. R., & Lampton, W. E. (1972). Effects of including humorous material in a persuasive sermon. Southern Journal of Communication, 38(2), 188-196.
Guadagno, R. E., Cialdini, R. B., & Evron, G. (2010). Storming the servers: A social psychological analysis of the first internet war. Cyberpsychology, Behavior, and Social Networking, 13(4), 447-453.
Guadagno, R. E., Okdie, B. M., & Kruse, S. A. (2012). Dating deception: Gender, online dating, and exaggerated self-presentation. Computers in Human Behavior, 28(2), 642-647.
Guadagno, R. E., Rempala, D. M., Murphy, S., & Okdie, B. M. (2013). What makes a video go viral? An analysis of emotional contagion and Internet memes. Computers in Human Behavior, 29(6), 2312–2319. Doi: https://doi.org/10.1016/j.chb.2013.04.016
Gugliucci, V., Machín, L., Alcaire, F., Otterbring, T., Carolina, D. E., Natero, V., & Ares, G. (2023). The content of Instagram posts featuring ultra-processed products through the lens of the heuristic-systematic model. Appetite, 181, 106393, doi: https://doi.org/10.1016/j.appet.2022.106393
Gulas, C. S., McKeage, K. K., & Weinberger, M. G. (2010). It's just a joke: violence against males in humorous advertising. Journal of Advertising, 109-120.
Guo, J., Wang, X., & Wu, Y. (2020). Positive emotion bias: role of emotional content from online customer reviews in purchase decisions. Journal of Retailing and Consumer Services, 52, 101891. doi: https://doi.org/10.1016/j.jretconser.2019.101891
Ha, L. (2008). Online advertising research in advertising journals: A review. Journal of Current Issues & Research in Advertising, 30(1), 31-48.
Haenlein, M., & Kaplan, A. M. (2009). Flagship brand stores within virtual worlds: the impact of virtual store exposure on real-life attitude toward the brand and purchase intent. Recherche et Applications en Marketing (English edition), 24(3), 57-79.
Hakoköngäs, E., Halmesvaara, O., & Sakki, I. (2020). Persuasion Through Bitter Humor: Multimodal Discourse Analysis of Rhetoric in Internet Memes of Two Far-Right Groups in Finland. Social Media + Society, 1-11. doi: https://doi.org/10.1177/2056305120921575
Harbo, T. F. (2022). Internet memes as knowledge practice in social movements: rethinking Economics’ delegitimization of economists. Discourse, context & media, 50, 1-9.
Harlow, S. (2013). It was a Facebook revolution: Exploring the meme-like spread of narratives during the Egyptian protest. Revista de Comunicación, (12), 59–82.
Harrigan, P., Evers, U., Miles, M. P., & Daly, T. (2018). Customer engagement and the relationship between involvement, engagement, self-brand connection and brand usage intent. Journal of Business Research, 88, 388-396.
Harrigan, P., Soutar, G., Choudhury, M. M., & Lowe, M. (2015). Modelling CRM in a social media age. Australas Mark J, 23(1), 27–37. doi: http://dx.doi.org/10.1016/j.ausmj.2014.11.001
Harris, J. L., Brownell, K. D., & Bargh, J. A. (2009). The Food Marketing Defense Model: Integrating Psychological Research to Protect Youth and Inform Public Policy. Soc Issues Policy Rev. 3(1), 211-271. doi: 10.1111/j.1751-2409.2009.01015.x.
Harshavardhan, V., Wilson, D., & Kumar, M. V. (2019). Humour Discourse in Internet Memes: An Aid in ESL Classroom. Asia Pacific Media Educator, 29(1), 41-53. doi: 10.1177/1326365X19842023
Hartley, M. G. (1992). Book Review: Image Processing. International Journal of Electrical Engineering & Education. 29(4), 382-383. doi:10.1177/002072099202900422
Hawkins, D. I & Mothersbaugh, David. L. (2013). Consumer behavior: Building marketing strategy, 12th ed. New York: McGraw-Hill/Irwin.
Hawkins, S. A., Hoch, S. J., & Meyers-Levy, J. (2001). Low-involvement learning: repetition and coherence in familiarity and belief. Journal of Consumer Psychology, 11(1), 1-11.
Hayes, R. A., & Carr, C. T. (2015). Does being social matter? effects of enabled commenting on credibility and brand attitude in social media. Journal of Promotion Management, 21(3), 371-390.
Hecker, R. (2020). Are you serious it is just a joke?: The influence of Internet memes on the perception and interpretation of online communication in social media. (Bachelor's thesis, University of Twente).
Herget, A. K., Breves, P., & Schramm, H. (2022). The influence of different levels of musical fit on the efficiency of audio-visual advertising. Musicae Scientiae, 26(1), 3-23.
Herr, P. M., & Fazio, R. H. (2013). The attitude-to-behavior process: Implications for consumer behavior. In Advertising exposure, memory and choice (pp. 119-140). Psychology Press.
Herr, P.M., & Fazio, R.H. (1993). The attitude-to-behavior process: Implications for consumer behavior. In Advertising Exposure, Memory, and Choice, ed. A.A. Mitchell, 119–40. Hillsdale, N.J.: Erlbaum.
Hieke, S. (2010). Effects of counterfeits on the image of luxury brands: An empirical study from the customer perspective. Journal of Brand Management, 18(2), 159-173.
Hilligoss, B., & Rieh, S. Y. (2008). Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information processing & management, 44(4), 1467-1484.
Hinz, O., Skiera, B., Barrot, C., & Becker, J. U. (2011). Seeding strategies for viral marketing: An empirical comparison. Journal of Marketing, 75(6), 55–71. Doi: https://doi.org/10.1509/jm.10.0088
Hoang, A. T. (2013). Impact of humor in advertising on consumer’s purchase decision, Saimaa University of Applied Sciences, Faculty of Business Administration, Lappeenranta Degree Programme in International Business thesis. p. 62
Hoang, C., Knöferle, K., & Warlop, L. (2023). Using different advertising humor appeals to generate firm-level warmth and competence impressions. International Journal of Research in Marketing, 40(4), 741-759. doi: https://doi.org/10.1016/j.ijresmar.2023.08.002.
Hollebeek, L. D., Jaeger, S. R., Brodie, R. J., & Balemi, A. (2007). The influence of involvement on purchase intention for new world wine. Food Quality and Preference, 18(8), 1033-1049.
Hornik, J., Ofir, C., & Rachamim, M. (2017). Advertising appeals, moderators, and impact on persuasion: A quantitative assessment creates a hierarchy of appeals. Journal of Advertising Research, 57(3), 305-318.
Hsieh, J.-K., Hsieh, Y.-C., & Tang, Y.-C. (2012). Exploring the disseminating behaviors of eWOM marketing: Persuasion in online video. Electronic Commerce Research, 12(2), 201–224. doi: https://doi.org/10.1007/s10660-012-9091-y
Hu, F., & Trivedi, R. H. (2020). Mapping hotel brand positioning and competitive landscapes by text-mining user-generated content. International Journal of Hospitality Management, 84, 102317.
Hu, X., Bao, J., & Ma, T. (2021). Analysis of shared parking demander’ choice behavior based on elaboration likelihood model. Transportation Research Interdisciplinary Perspectives, 9, 100311.
Huntington, H. E. (2016): Pepper Spray Cop and the American Dream: Using Synecdoche and Metaphor to Unlock Internet Memes’ Visual Political Rhetoric, Communication Studies, 1-17. doi: 10.1080/10510974.2015.1087414
Igartua, J. J., Cheng, L., & Lopes, O. (2003). To Think or Not to Think: Two Pathways Towards Persuasion by Short Films on AIDS Prevention. Journal of Health Communication, 8(6), 513–28.
Iloh, C. (2021). Do It for the Culture: The Case for Memes in Qualitative Research. International Journal of Qualitative Methods, 20.
Inzamul, M., & Rakib, H. (2019). Name A More Iconic Duo, I’ll Wait: Exploring the Role of Humour in Bangladeshi Internet Meme Culture. Doctoral dissertation, Mount Saint Vincent University, 1-136.
Jenkins, H. (2006). Convergence Culture: Where Old and New Media Collide. NYU Press. doi: http://www.jstor.org/stable/j.ctt9qffwr
Jenkins, H. (2009). Confronting the challenges of participatory culture: Media education for the 21st century, 145. The MIT press.
Jenkins, R. D. (2018). How Are U.S. Startups Using Instagram? An Application of Taylor's Six-Segment Message Strategy Wheel and Analysis of Image Features, Functions, and Appeals. All Theses and Dissertations, Brigham Young University. 1-95.
Ji, Y., & Kim, S. (2023). The impacts of social media bandwagon cues on public demand for regulatory intervention during corporate crises. Journal of Contingencies and Crisis Management, 31, 392–405. doi: https://doi.org/10.1111/1468-5973.12446
Jurvetson, S. (2000), What exactly is viral marketing. Red Herring, 78, 110-112.
Kanai, A. (2016). Sociality and Classification: reading gender, race, and class in a humorous Meme. Social Media + Society, 2(4). doi: https://doi.org/10.1177/2056305116672884**
Kanouse, D. E. (1984). Explaining Negativity Biases in Evaluation and Choice Behavior: Theory and Research, in Advances in Consumer Re-search, Thomas C. Kinnear, ed., 11, Provo, UT: Association for Con-sumer Research, 703–708.
Kasirye, F. (2019). The effectiveness of political memes as a form of political participation amongst millennials in uganda. Journal of Education and Social Sciences, 13(1), 44–45.
Kaye, B. K. & Johnson, T. J. (2021). “Newstrusting” or “newsbusting?” heuristic and systematic information processing and trust in media. Atlantic Journal of Communication. doi:10.1080/15456870.2021.1869004
Keller, K. L. (2003a). Brand Synthesis: The Multidimensionality of Brand Knowledge. Journal of Consumer Research, 29(4), 595–600. doi: https://doi.org/10.1086/346254
Keller, K. L. (2003b). Understanding Brands, Branding and Brand Equity. Interactive Marketing, 5, 7-20. doi: https://doi.org/10.1057/palgrave.im.4340213
Keller, K. L. (2016). Unlocking the power of integrated marketing communications: How integrated is your IMC program?. Journal of Advertising, 45(3), 286-301.
Kennedy, A. J. (1972). The effect of humor upon source credibility. Paper presented at Speech Communication Association, Chicago.
Kennedy, A. J. (1972). An experimental study of the effect of humorous message content upon ethos and persuasiveness. Doctoral dissertation, University of Michigan.
Kerlinger, F. N. (2000). Foundations of Behavioral Research. San Diego, CA: Harcourt College Publishers.
Khurram, M., Qadeer, F., & Sheeraz, M. (2018). The role of brand recall, brand recognition and price consciousness in understanding actual purchase. Journal of Research in Social Sciences, 6(2), 219-241.
Kilian, T., Hennigs, N., & Langner, S. (2012). Do millennials read books or blogs? Introducing a media usage typology of the internet generation. Journal of Consumer Marketing, 29(2), 114–124.
Kilpela, D. E. (1961). An experimental study of the effects of humor on persuasion. Wayne State University.
Kim, H. S., & Sundar, S. S. (2014). Can online buddies and bandwagon cues enhance user participation in online health communities?. Computers in Human Behavior, 37, 319-333. doi: https://doi.org/10.1016/j.chb.2014.04.039
Kim, H., Cho, I. & Park, M. (2022). Analyzing genderless fashion trends of consumers’ perceptions on social media: using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling. Fash Text 9, 6. doi: https://doi.org/10.1186/s40691-021-00281-6
Kim, J. K., & Fesenmaier, D. R. (2015). Sharing tourism experiences: The posttrip experience. J Travel Res. 56(1), 28–40.
Kim, J. U., Kim, W. J., & Park, S. C. (2010). Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping. Computers in Human Behavior, 26(5), 1208-1222.
Kim, J. W. (2018). They liked and shared: Effects of social media virality metrics on perceptions of message influence and behavioral intentions. Computers in Human Behavior, 84, 153–161. doi:10.1016/j.chb.2018.01.030
Kim, M., & Lennon, S. (2008). The effects of visual and verbal information on attitudes and purchase intentions in internet shopping. Psychology & Marketing, 25(2), 146-178.
Kim, S., Haley, E., & Koo, G. Y. (2009). Comparison of the paths from consumer involvement types to ad responses between corporate advertising and product advertising. Journal of Advertising, 38(3), 67-80.
Kim, S., Haley, E., & Lee, Y. J. (2008). Does Consumers’ Product-Related Involvement Matter When It Comes to Corporate Ads? Journal of Current Issues and Research in Advertising, 30(2), 37–48.
Kim, W. G., Ma, X., & Kim, D. J. (2006). Determinants of Chinese hotel customers’ e- satisfaction and purchase intentions. Tourism Management, 27, 890-900.
King, A. (Ed.). (2002). Leaders’ personalities and the outcomes of democratic elections. Oxford: Oxford University Press.
Klein, K. (1999). No Logo: Taking Aim at the Brand Bullies. Knopf Canada, Picador.
Knobel, M. & Lankshear, C. (2007). Online memes, affinities, and cultural production. A New Literacies Sampler. Peter Lang, New York, 199-229.
Knobloch-Westerwick, S., Sharma, N., Hansen, D. L., & Alter, S. (2005). Impact of popularity indications on readers’ selective exposure to online news. Journal of Broadcasting & Electronic Media, 49(3), 296–313. doi: https://doi.org/10.1207/ s15506878jobem4903_3.
Know your meme. (2017, January 30). Distracted Boyfriend. Retrieved from https://knowyourmeme.com/memes/distracted-boyfriend
Koiso-Kanttila, N. (2004). Digital content marketing: a literature synthesis. Journal of marketing management, 20(1-2), 45-65.
Kotler, P. (1997). Marketing management: analysis, planning, implementation and control. Englewood Cliffs, New Jersey: Practice Hall.
Kotler, P., & Keller, K. L. (2006). Marketing management 12th edition. New Jersey, 143, 312-314.
Krishnan, H. S., & Chakravarti, D. (2003). A process analysis of the effects of humorous advertising executions on brand claims memory. Journal of Consumer Psychology, 13(3), 230-245.
Krugman, H. E. (1965). The impact of television advertising: learning without involvement. Public Opinion Quarterly, 29(3), 349-356.
Krugman, H. E. (1966). The measurement of advertising involvement. Public Opinion Quarterly, 30(4), 583-596.
Kuiper, N. A., Martin, R. A., & Olinger, L. J. (1993). Coping humour, stress, and cognitive appraisals. Canadian Journal of Behavioural Science, 25(1), 81-96. https://doi.org/10.1037/h0078791
Kujur, F., & Singh, S. (2020). Visual communication and consumer-brand relationship on social networking sites-uses & gratifications theory perspective. Journal of Theoretical and Applied Electronic Commerce Research, 15(1), 30-47.
Kulkarni, A. (2017). Internet Meme and Political Discourse: A Study on the Impact of Internet Meme as a Tool in Communicating Political Satire. Journal of Content, Community & Communication Amity School of Communication, 6(3). doi: http://dx.doi.org/10.2139/ssrn.3501366
Laaksonen, P. (1994). Consumer involvement: Concepts and research. Routledge.
Laineste, L., & Voolaid, P. (2016). Laughing across borders: intertextuality of internet memes. The European Journal of Humour Research, 4(4), 26–49. doi: https://doi.org/10.7592/EJHR2016.4.4.laineste
Langaro, D., Rita, P., & Maria, F. S. (2018). Do social networking sites contribute for building brands? Evaluating the impact of users' participation on brand awareness and brand attitude, Journal of Marketing Communications, 24(2), 146-168, doi: 10.1080/13527266.2015.1036100
Laurent, G., & Kapferer, J. N. (1985). Measuring consumer involvement profiles. Journal of Marketing Research, 22(1), 41-53.
Laurent, G., & Kapferer, J. N. (1985). Measuring consumer involvement profiles. Journal of Marketing Research, 22(1), 41-53.
Leach, C. W., & Allen, A. M. (2017). The social psychology of the black lives matter meme and movement. Current Directions in Psychological Science, 26(6), 543-547.
Lee, A., Jang, H. B., Ra, M., Choi, Y., Lee, H. J., Park, J. Y., Kang, J. H., Park, K. H., Park, S. I., & Song, J. (2015). Prediction of future risk of insulin resistance and metabolic syndrome based on Korean boy's metabolite profiling. Obesity Research & Clinical Practice, 9(4), 336-345. doi: https://doi.org/10.1016/j.orcp.2014.10.220
Lee, D., Hosanagar, K., & Nair, H. S. (2018). Advertising content and consumer engagement on social media: Evidence from Facebook. Management Science, 64(11), 5105-5131.
Lee, E.-J., & Shin, S. Y. (2014). When do consumers buy online product reviews? Effects of review quality, product type, and reviewer's photo. Computers in Human Behavior, 31, 356-366. doi: https://doi.org/10.1016/j.chb.2013.10.050
Lee, H. H., Liang, C. H., Liao, S. Y., & Chen, H. S. (2019). Analyzing the Intention of Consumer Purchasing Behaviors in Relation to Internet Memes Using VAB Model. Sustainability. 11(20). 5549. doi: https://doi.org/10.3390/su11205549
Lee, J. H., Lim, K. F., & Yong, K. Y. (2016). Factors influencing purchase intention towards dietary supplement products among young adults. Doctoral dissertation, UTAR.
Lee, J., & Hong, I. B. (2016). Predicting positive user responses to social media advertising: the roles of emotional appeal, informativeness, and creativity. International Journal of Information Management, 36(3), 360-373.
Lee, J., Park, D. H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341-352.
Lee, M. T., & Theokary, C. (2020). The superstar social media influencer: Exploiting linguistic style and emotional contagion over content? doi: https://doi.org/10.1016/j.jbusres.2020.11.014
Lee, W. J., O’Cass, A., & Sok, P. (2019). How and when does the brand orientation-market orientation nexus matter? Journal of Business & Industrial Marketing. 35(2), 349–61.
Lee, W. N., Yun, T., & Lee, B. K. (2005). The role of involvement in country-of-origin effects on product evaluation: situational and enduring involvement. Journal of International Consumer Marketing, 17(2-3), 51-72.
Lee-Won, R. J., Abo, M. M., Na, K., & White, T. N. (2016). More than numbers: Effects of social media virality metrics on intention to help unknown others in the context of bone marrow donation. Cyberpsychology, Behavior, and Social Networking, 19(6), 404–411. doi: https://doi.org/10.1089/cyber.2016.0080.
Leigh, J. H., & Menon, A. (1987). Audience involvement effects on the information processing of umbrella print advertisements. Journal of Advertising, 16(3), 3-12.
Lerman, D., & Garbarino, E. (2002). Recall and recognition of brand names: A comparison of word and nonword name types. Psychology & Marketing, 19(7‐8), 621-639.
Leskovec, J., Backstrom, L., & Kleinberg, J. (2009). Meme-tracking and the dynamics of the news cycle. Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, 497–506.
Li, R., Vafeiadis, M., Xiao, A., & Yang, G. (2020). The role of corporate credibility and bandwagon cues in sponsored social media advertising. Corporate Communications: An International Journal, 25(3), 495–513. https://doi.org/10.1108/CCIJ-09-2019-0108
Lim, L. W. K., Liew, J. X., & Chung, H. H. (2022). Piper yellow mottle virus: A deep dive into the genome. Gene Reports, 29, 101680.
Lin, X., Spence, P. R., & Lachlan, K. A. (2016). Social media and credibility indicators: The effect of influence cues. Computers in Human Behavior, 63, 264–271. doi:10.1016/j.chb.2016.05.002
Lin, X., Spence, P. R., Sellnow, T. L., & Lachlan, K. A. (2016). Crisis communication, learning and responding: Best practices in social media. Computers in Human Behavior, 65, 601–605. https://doi.org/ 10.1016/j.chb.2016.05.080
Lin, Y. & Chen, X. (2022). Also on humblebragging: Why many Chinese posters brag by complaining. Journal of Pragmatics. 201, 149-159. doi: https://doi.org/10.1016/j.pragma.2022.10.002
Lindell, A. K. (2018). Left cheek poses garner more likes: the effect of pose orientation on Instagram engagement. Laterality: Asymmetries of Body, Brain and Cognition, 1-14.
Ling, C., AbuHilal, I., Blackburn, J., De Cristofaro, E., Zannettou, S., & Stringhini, G. (2021). Dissecting the meme magic: understanding indicators of virality in image memes. Proceedings of the ACM on human-computer interaction, 5(CSCW1), 1-24.
Lister, C., Royne, M., Payne, H. E., Cannon, B., Hanson, C., & Barnes, M. (2015). The laugh model: Reframing and rebranding public health through social media. American Journal of Public Health, 105(11), 2245–2251. doi: https://doi.org/10.2105/AJPH.2015.302669
Liu, F., Li, J., Mizerski, D., & Soh, H. (2012). Self‐congruity, brand attitude, and brand loyalty: a study on luxury brands. European Journal of Marketing, 46(7/8), 922-937.
Lockhart, R. S. (2000). Methods of memory research.
Lockshin, L. S., Spawton, A. L., & MacIntosh, G. (1997). Using product, brand and purchasing involvement for retail segmentation. Journal of Retailing and Consumer Services, 4(3), 171–183
Lockshin, L., Quester, P., & Spawton, T. (2001). Segmentation by involvement or nationality for global retailing: A cross-national comparative study of wine shopping behaviours. Journal of Wine Research, 12(3), 223–236.
Lonnberg, A., Xiao, P., & Wolfinger, K. (2020). The growth, spread, and mutation of internet phenomena: A study of memes. Results in Applied Mathematics, 6, 1–9. doi:10.1016/j.rinam.2020.100092
Lord, K. R., Lee, M. S., & Sauer, P. L. (1995). The Combined Influence Hypothesis: Central and Peripheral Antecedents of Attitude toward the Ad. Journal of Advertising, 24 (1), 73–85.
Lull, P. E. (1940). The effectiveness of humor in persuasive speech. Communications Monographs, 7(1), 26-40.
Lutz, R. J. (1985). Affective and cognitive antecedents of attitude toward the ad: A conceptual framework. Psychological Process and Advertising Effects: Theory, Research, and Application, 45-63.
Lutz, R. J. (1991), The Role of Attitude Theory in Marketing. in Perspectives in Consumer Behavior, eds. Harold H. Kassarjian and Thomas S. Robertson, 4th ed., Upper Saddle River, NJ: Prentice Hall.
MacInnis, D. J., & Price, L. L. (1987). The role of imagery in information processing: Review and extensions. Journal of consumer research, 13(4), 473-491.
MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context, The Journal of Marketing, 53(2), 48-65
MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of Marketing Research, 23(2), 130-143.
Madden, T. J., & Weinberger, M. G. (1982). The effects of humor on attention in magazine advertising. Journal of Advertising, 11(3), 8-14.
Madden, T. J., & Weinberger, M. G. (1984). Humor in advertising: A practitioner view. Journal of Advertising Research, 24(4), 23-29.
Maheswaran, D., & Chaiken, S. (1991). Promoting Systematic Pro-cessing in Low-Motivation Settings: Effect of Incongruent Information on Processing and Judgment, Journal of Personality and Social Psychology, 61(1), 13–25.
Malhotra, N. (2015). An empirical analysis of “tort tales”: how cultural memes influence attitudes on tort reform. Journal of Law and Courts, 3(1), 149-166.
Malodia, S., Dhir, A., Bilgihan, A., Sinha, P., & Tikoo, T. (2022). Meme marketing: How marketers can drive better engagement using viral memes? Psychology & Marketing, 39, 1775–1801. doi: https://doi.org/10.1002/mar.21702
Malthouse, E. C., Calder, B. J., Kim, S. J., & Vandenbosch, M. (2016). Evidence that user-generated content that produces engagement increases purchase behaviours. Journal of Marketing Management, 32(5-6), 427-444.
Maman, L. (2020, Feb 23). What luxury brands can learn from internet memes. Linkedin. retrieved from https://www.linkedin.com/pulse/what-luxury-brands-can-learn-from-internet-memes-lior-maman
Maples, G. W. (2023). High Impact, Low Mood: An Analysis of Graduate Student Attitudes and Perceptions Through PHD Memes. International Journal of Doctoral Studies, 18, 1-23. doi: https://doi.org/10.28945/5075
Markiewicz, D. (1974). Effects of Humor on Persuasion. Sociometry, 37(3), 407–422. doi: https://doi.org/10.2307/2786391
Marks, D. F. (1973). Visual Imagery Differences in the Recall of Pictures. British Journal of Psychology. 64(1), 17–24.
Marsden, P. S. (1993). Marketing Intelligence & Planning. Marketing Intelligence & Planning, 11(3), 1–48. Doi: https://doi.org/10.1108/eb045784
Maslow, A. H. (1943). Preface to motivation theory. Psychosomatic Medicine, 5(1), 85-92.
McClure, B. (2016). Discovering the Discourse of Internet Political Memes. Adult Education Research Conference. 292-293. doi: https://newprairiepress.org/aerc/2016/roundtables/12
McCrae, J. (2017). Meme Marketing: How Brands Are Speaking A New Consumer Language. Forbes. Retrieved from https://www.forbes.com/sites/forbescommunicationscouncil/2017/05/08/meme-marketing-how-brands-are-speaking-a-new-consumer-language/?sh=376b35da37f5
McDermott, M. (2012, November 15). Memetic Marketing. Codegent. Retrieved from https://www.codegent.com/blog/2012/11/memetic-marketing/
McDonald, S. C. (2018). What do we really know about attitudes toward privacy and advertisement avoidance? Journal of Advertising Research, 58(1), 75–76.
McGhee, P. E. (1979). Humor: its Origin and Development. W. H. Freeman, San Francisco.
McGown, M. A. (1967). An experimental study of the persuasive impact of a satiric editorial and that of a comparable direct editorial. Masters thesis, University of Nebraska.
McQuarrie, E. F., & Mick, D. G. (1996). Figures of rhetoric in advertising language. Journal of Consumer Research, 22(4), 424-438.
Meer, A. S., Khan, R. A., & Kanwal, S. (2022). Meme Marketing and Purchasing Behavior: A Study of Active Social Media Users. Journal of the Research Society of Pakistan, 59(3), 1-8.
Meerman-Scott, D. (2011). The new rules of narketing & pr: how to use social media, online video, mobile appliactions, blogs, news releases & viral Marketing to reach buyers directly. New Jersey: John Wiley & Sons.
Metzger, M. J., & Flanagin, A. J. (2013). Credibility and trust of information in online environments: the use of cognitive heuristics. Journal of pragmatics, 59, 210-220.
Metzger, M. J., & Flanagin, A. J. (2015). Psychological approaches to credibility assessment online. The handbook of the psychology of communication technology, 445-466.
Meyers-Levy, J., & Malaviya, P. (1999). Consumers’ Processing of Persuasive Advertisements: An Integrative Framework of Persuasion Theories, Journal of Marketing, 63(4), 45–60.
Michael, J., & Bulow, L. (2019). One Does Not Simply Create a Meme: Conditions for the Diffusion of Internet Memes. International Journal of Communication, 13, 1720-1742. Doi: 1932–8036/20190005
Miller, D.W. & Marks, L. J. (1996). The moderating effects of enduring involvement on imagery-evoking advertisements, American Marketing Association, 121-128.
Mills, A.J. (2012). Virality in social media: The SPIN framework. Journal of Public Affairs, 12(2), 162–169.
Milner, R. M. (2012). The World Made Meme: Discourse and Identity in Participatory Media. PhD diss., University of Kansas.
Milner, R. M. (2013). Pop polyvocality: Internet memes, public participation, and the Occupy Wall Street movement. International Journal of Communication, 7, 2357–2390. Retrieved from http://ijoc.org/index.php/ijoc/article/view/1949/1015
Milosavljević, I. (2020). The phenomenon of the internet memes as a manifestation of communication of visual society-Research of the most popular and the most common types. Media Studies and Applied Ethics, 1(1), 9-27.
Miltner, K. (2011). Srsly phenomenal: An investigation into the appeal of LOLcats. London School of Economics, London, UK. Retrieved from https://reurl.cc/dDyvLy
Miltner, K. M. (2014). ‘There’s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme’, 19(8), doi: http://firstmonday.org/ojs/index.php/fm/article/view/5391/4103.
Mirabi, V., Akbariyeh, H., & Tahmasebifard, H. (2015). A study of factors affecting on customers purchase intention. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 2(1). 267-273.
Mitchell, A. A. (1981). The Dimensions of Advertising Involvement, in NA-Advances in Consumer Research Volume 08, eds. Kent B. Monroe, Ann Abor, MI : Association for Consumer Research, 25-30.
Mitchell, A. A., & Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude?. Journal of Marketing Research, 18(3), 318-332.
Mittal, B., & Lee, M. S. (1989). A causal model of consumer involvement. Journal of Economic Psychology, 10(3), 363-389.
Moody-Ramirez, M., Tait, G., & Bland, D. (2021). An analysis of george floyd-themed memes: a critical race theory approach to analyzing memes surrounding the 2020 George Floyd protests. The Journal of Social Media in Society, 10(2), 373-401.
Moorman, M., Willemsen, L. M., Neijens, P. C., & Smit, E. G. (2012). Program-involvement effects on commercial attention and recall of successive and embedded advertising. Journal of Advertising, 41(2), 25-38. https://doi.org/10.2753/JOA0091-3367410202
Muehling, D. D., Laczniak, R. N., & Stoltman, J. J. (1991). The moderating effects of ad message involvement: A reassessment. Journal of Advertising, 20(2), 29-38.
Murphy, J. H., Cunningham, I. C. M., & Wilcox, G. B. (1979). The impact of program environment on recall of humorous television commercials. Journal of Advertising, 8(2), 17–21. doi: https://doi.org/10.1080/00913367.1979.10717971
Murray, N., Manrai, A., & Manrai, L. (2014). Memes, memetics and marketing, [in:] Louis Moutinho, Enrique Bigné, and Ajay K. Manrai (Eds.), The Routledge Companion to the Future of Marketing, New York, NY: Routledge, 331-347.
Nabi, R. L., Moyer-Gusé, E., & Byrne, S. (2007). All joking aside: a serious investigation into the persuasive effect of funny social issue messages. Communication Monographs, 74(1), 29-54.
Ngo, T. M. (2021). Meme marketing: How viral marketing adapts to the internet culture. Honors Program Theses. 484. doi: https://scholarworks.uni.edu/hpt/484
Nicholls, J. A., Roslow, S., & Dublish, S. (1999). Brand recall and brand preference at sponsored golf and tennis tournaments. European Journal of Marketing, 33(3/4), 365-387.
Noer, L. R., Putra, S. W., & Hartini, S. (2020). Funny Moments of Friendship Lead to Medicine Brand Recall Recommendation (Evidence in Indonesian Humor). Systematic Reviews in Pharmacy, 11(11), 1298-1308.
Nowak, J. (2013). Political Communication, Social Media and Popular Culture. Political Communication in the Era of New Technologies, 127-146.
Nowak. J. (2016). Internet meme as meaningful discourse: Towards theory of multiparticipant popular online content. Central European Journal of Communication, 9(16), 73-89.
Núñez-Barriopedro, E., Klusek, K. G., & Tobar-Pesántez, L. (2019). The effectiveness of humor in advertising: Analysis from an international scope. Academy of Strategic Management Journal, 18(4), 1-11.
O'Cass, A. & Muller, T. (1999). A study of Australian materialistic values, product involvement and the self-image/product image congruency relationships for fashion clothing. Proceedings of the World Marketing Congress on Global Perspectives in Marketing for the 21st Century, Qawra, Malta.
Oeldorf-Hirsch, A., & Sundar, S. S. (2015). Posting, commenting, and tagging: Effects of sharing news stories on Facebook. Computers in Human Behavior, 44, 240-249.
Olsson-Collentine, A., Van Assen, M. A., & Hartgerink, C. H. (2019). The prevalence of marginally significant results in psychology over time. Psychological Science, 30(4), 576-586.
Paciello, M., D’Errico, F., Saleri, G., & Lamponi, E. (2021). Online sexist meme and its effects on moral and emotional processes in social media. Computers in Human Behavior, 116, 106655. doi:10.1016/j.chb.2020.106655
Paivio, A., & Begg, I. (1974). Pictures and words in visual search. Memory & Cognition, 2(3), 515-521.
Paivio, A., & Csapo, K. (1973). Picture superiority in free recall: Imagery or dual coding?. Cognitive Psychology, 5(2), 176-206.
Paquette, A. (2019). Meme marketing makes brands go viral. Media Post. Retrieved from https://www.mediapost.com/publications/article/344495/mememarketing-makes-brands-go-viral.h
Park, C. W., MacInnis, D. J., Priester, J., Eisingerich, A. B., & Iacobucci, D. (2010). Brand attachment and brand attitude strength: Conceptual and empirical differentiation of two critical brand equity drivers. Journal of Marketing, 74(6), 1-17.
Percy, L., & Donovan, R. J. (1991). A better advertising planning grid. Journal of Advertising Research, 31(5), 11-21.
Percy, L., & Rossiter, J. R. (1992). A model of brand awareness and brand attitude advertising strategies. Psychology & Marketing, 9(4), 263-274.
Peters, R. G., & Bijmolt, T. H. (1997). Consumer memory for television advertising: A field study of duration, serial position, and competition effects. Journal of Consumer Research, 23(4), 362-372.
Petty, R. E., & Cacioppo, J. T. (1979). Issue Involvement Can In-crease or Decrease Persuasion by Enhancing Message-Relevant Cogni-tive Responses. Journal of Personality and Social Psychology, 37 (10), 1915–1926.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Communication and persuasion, New York, NY: Springer. 1–24. doi: https://doi.org/10.1007/978-1-4612-4964-1_1.
Petty, R. E., & Cacioppo, J. T. (2012). Communication and persuasion: Central and peripheral routes to attitude change. Springer Science & Business Media.
Petty, R. E., & Wegener, D. T. (1998). Attitude Change: Multiple Roles for Persuasion Variables, in Handbook of Social Psychology, 4th ed., Daniel Gilbert, Susan Fiske, and Gardner Lindzey, eds., New York: McGraw-Hill, 323–390.
Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10(2), 135–146. doi: https://doi.org/10.1086/208954.
Petty, R. E., Haugtvedt, C. P. S., & Stephen, M. (1995). Elaboration as a determinant of attitude strength: Creating attitudes that are persistent, resistant, and predictive of behavior. In R. E. Petty, & J. A. Krosnick (Eds.), Elaboration as a determinant of attitude strength: Creating attitudes that are persistent, resistant, and predictive of behavior, 93–130. Lawrence Erlbaum Associates, Inc.
Phua, J., & Ahn, S. J. (2016). Explicating the ‘like’on Facebook brand pages: The effect of intensity of Facebook use, number of overall ‘likes’, and number of friends'‘likes’ on consumers' brand outcomes. Journal of Marketing Communications, 22(5), 544-559.
Picard, D., & Blanc, N. (2013). Need for humor scale: Validation with French children. Psychological Reports, 112(2), 502-518.
Pikas, B., & Sorrentino, G. (2014). The effectiveness of online advertising: Consumer’s perceptions of ads on Facebook, Twitter and YouTube. Journal of Applied Business and Economics, 16(4), 70-81.
Pirolli, P. (2005). Rational analyses of information foraging on the web. Cognitive Science, 29(3), 343–373.
Pittman, M., & Reich, B. (2016). Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words. Computers in Human Behavior, 62, 155-167.
Pokorny, G. F., & Gruner, C. R. (1969). An experimental study of the effect of satire used as support in a persuasive speech. Western Journal of Communication (includes Communication Reports), 33(3), 204-211.
Preston, I. L., & Thorson, E. (1984). The expanded association model-keeping the hierarchy concept alive. Journal of Advertising Research, 24(1), 59-65.
Primanto, A. B. & Dharmmesta, B. S. (2019). What Happens After They Laugh: How Humorous Advertisements Have an Effect on Consumers’ Attitudes, Word Of Mouth Intentions, and Purchase Intentions, With The Need for Humor Playing a Moderating Role. Journal of Indonesian Economy and Business, 34(2), 113 – 127. doi: https://doi.org/10.22146/jieb.23036
Pritschet, L., Powell, D., & Horne, Z. (2016). Marginally significant effects as evidence for hypotheses: Changing attitudes over four decades. Psychological Science, 27(7), 1036-1042.
Puente-Diaz, R., & Cavazos-Arroyo, J. (2019). The role of cognitive feelings and content information in the evaluations of sport brands. Managing Sport and Leisure, 24(4), 262–274.
Quester, P., & Lin, L. A. (2003). Product involvement/brand loyalty: is there a link?. Journal of Product & Brand Management, 12(1), 22-38. doi: https://doi.org/10.1108/10610420310463117
Rakib, M. I. H. (2019). Name a more iconic duo, I’ll wait: exploring the role of humour in Bangladeshi internet Meme culture. Doctoral dissertation, Mount Saint Vincent University.
Rathi, N., & Jain, P. (2024). Impact of meme marketing on consumer purchase intention: Examining the mediating role of consumer engagement. Innovative Marketing, 20(1), 1-16. doi:10.21511/im.20(1).2024.01
Ratneshwar, S., & Chaiken, S. (1991). Comprehension's role in persuasion: the case of its moderating effect on the persuasive impact of source cues. Journal of Consumer Research, 18(1), 52-62.
Rauschnabel, P. A., Praxmarer, S., & Ivens, B. S. (2012). Social Media Marketing: how design features influence interactions with brand postings on Facebook. Advances in Advertising Research, 3, 153–161. doi:10.1007/978-3-8349-4291-3_12
Razzaq, A., Shao, W., & Quach, S. (2023). Towards an understanding of meme marketing: conceptualisation and empirical evidence. Journal of Marketing Management, 39(7-8), 670-701, doi: 10.1080/0267257X.2022.2158906
Reichstein, T., & Brusch, I. (2019). The decision‐making process in viral marketing—a review and suggestions for further research. Psychology & Marketing, 36(11), 1062–1081.
Rhee, C. E., & Choi, J. (2020). Effects of personalization and social role in voice shopping: An experimental study on product recommendation by a conversational voice agent. Computers in Human Behavior, 109, 106359. doi:10.1016/j.chb.2020.106359
Richard, J. E., & Guppy, S. (2014). Facebook: Investigating the influence on consumer purchase intention. Asian Journal of Business Research, 4(2), 1-10.
Richins, M. L. & Bloch, P. H. (1986). After the new wears off: the temporal context of product involvement. Journal of Consumer Research, 13(2), 280-285.
Rishabh. (2023, September 07). Mastering Meme Marketing: 20 Genius Brand Examples. Content B. Retrieved from https://www.contentbeta.com/meme-marketing-examples/
Rodgers, W. C. & Schneider, K.C. (1993). An empirical evaluation of the Kapferer-Laurent consumer involvement profile. Psychology and Marketing, 10(4), 333-345.
Rodić, N., & Koivisto, E. (2012). Best practices in viral marketing. Aalto University School Of Economics, 7-37.
Rosenberg, M. J., Hovland, C. I., McGuire, W. J., Abelson, R. P., & Brehm, J. W. (1960). Attitude organization and change: an analysis of consistency among attitude components. (Yales studies in attitude and communication.), Vol. III.
Rowley, J. (2008). Understanding digital content marketing. Journal of Marketing Management, 24(5-6), 517-540
Rozin, P., & Royzman, E. B. (2001). Negativity Bias, Negativity Dominance, and Contagion, Personality and Social Psychology Review, 5(4), 296–320.
Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century. Mass Communication & Society, 3(1), 3-37.
Ryan, M. J., & Bonfield, E. H. (1980). Fishbein's intentions model: a test of external and pragmatic validity. Journal of Marketing, 44(2), 82-95.
Sabri, O. (2012). Taboo advertising: can humor help to attract attention and enhance recall? Journal of Marketing Theory and Practice, 407-422.
Sagin, E. (2021). 10 stats that will make you rethink marketing to millennials Wordstream. Retrieved from https://www.wordstream.com/blog/ws/2016/02/02/marketing-to-millennials
Sălcudean, M., & Motoroiu-ştefan, R. (2020). Visual humor through internet memes. Iconicity, irony, and virality in the digital age (I). Revista Transilvania, (4), 67-72.
Schiffman, L. G., & Kanuk, L. L. (2000). Consumer Behavior, 7th. NY: Prentice Hall, 15-36.
Schiffman, L. G., Kanuk, L. L., & Wisenblit, J. (2010). Consumer behaviour, 10th ed. Upper Saddle River: Pearson Prentice Hall.
Schimmack, U. (2005). Attentional Interference Effects of Emotional Pic-tures: Threat, Negativity, or Arousal? Emotion, 5(1), 55–66.
Schmitt, B. (2012). The consumer psychology of brands. Journal of Consumer Psychology, 22(1), 7-17.
Schmitt-Beck & Rüdiger. (2015). Bandwagon Effect. The International Encyclopedia of Political Communication, 1-5.
Seabra, S. G., Libin, P. J., Theys, K., Zhukova, A., Potter, B. I., Nebenzahl-Guimaraes, H., ... & Abecasis, A. B. (2022). Genome-wide diversity of Zika virus: Exploring spatio-temporal dynamics to guide a new nomenclature proposal. Virus Evolution, 8(1), 1-15.
Seiffert-Brockmann, J., Diehl, T., & Dobusch, L. (2018). Memes as games: the evolution of a digital discourse online. New Media & Society, 20(8), 2862-2879.
Seo, S., Almanza, B., Miao, L., & Behnke, C. (2015). The effect of social media comments on consumers’ responses to food safety information. Journal of Foodservice Business Research, 18(2), 111-131. doi: 10.1080/15378020.2015.1029384
Seo, Y., Kim, J., Choi, Y. K., & Li, X. (2019). In “likes” we trust: Likes, disclosures and firm-serving motives on social media. European Journal of Marketing, 53(10), 2173–2192. doi: https://doi.org/10.1108/EJM-11-2017-0883
Seo, Y., Li, X., Choi, Y. K., & Yoon, S. (2018). Narrative transportation and paratextual features of social media in viral advertising. Journal of Advertising, 47(1), 83-95.
Šešum, J. (2011). Internet mimovi-aspekti globalnog komuniciranja. CM Komunikacija i mediji, 6(18), 107-117.
Sewak, S., & Lee, J. (2021). Meme Your Brands on Social Media: The Impact of Memes on Perceived Humor and Consumer Engagement. Society for marketing advance, 1-19.
Sewak, S., & Lee, J. (2021). When you meme business–exploring use of memes by brands on social media and resultant engagement. Association of Marketing Theory and Practice Proceedings, 6. doi: https://digitalcommons.georgiasouthern.edu/amtp-proceedings_2021/6
Shah, S. S. H., Aziz, J., Jaffari, A. R., Waris, S., Ejaz, W., Fatima, M., & Sherazi, S. K. (2012). The impact of brands on consumer purchase intentions. Asian Journal of Business Management, 4(2), 105-110.
Sharma, A., Sanghvi, K., & Churi, P. (2022). The impact of Instagram on young Adult's social comparison, colourism and mental health: Indian perspective. International Journal of Information Management Data Insights, 2(1), 100057
Sharma, H. (2018). Memes in digital culture and their role in marketing and communication: A study in India. Interactions: Studies in Communication & Culture, 9(3), 304-318. doi: 10.1386/iscc.9.3.303_1
Sherif, M., & Cantril, H. (1947). The psychology of ego-involvements: Social attitudes and identifications.
Sherif, M., & Hovland, C. L. (1961). Social Judgment, Oxford, Eng-land: Yale University Press.
Sherman, L. E., Hernandez, L. M., Greenfield, P. M., & Dapretto, M. (2018). What the brain ‘Likes’: neural correlates of providing feedback on social media. Social Cognitive and Affective Neuroscience, 13(7), 699-707.
Shifman, L. (2007). Humor in the Age of Digital Reproduction: Continuity and Change in Internet-Based Comic Texts. International Journal of Communication, 1, 187-209
Shifman, L. (2012). An anatomy of a YouTube meme. New Media & Society, 14(2), 187–203. doi:10.1177/1461444811412160
Shifman, L. (2013a). Memes in a digital world: Reconciling with a conceptual troublemaker. Journal of Computer-Mediated Communication, 18(3), 362–377.
Shifman, L. (2013b). Memes in Digital Culture. MIT Press.
Shifman, L. (2014). The cultural logic of photo-based meme genres. Journal of Visual Culture, 13(3), 340-358.
Shifman, L., & Thelwall, M. (2009). Assessing global diffusion with Web memetics: The spread and evolution of a popular joke. Journal of the American Society for Information Science and Technology, 60(12), 2567–2576.
Shim, K. & Klive, O. (2018). Who creates the bandwagon? The dynamics of fear of isolation, opinion congruency and anonymity-preference on social media in the 2017 South Korean presidential election. Computers in Human Behavior, 86, 181-189. doi: https://doi.org/10.1016/j.chb.2018.04.012.
Shimp, T. A. (1981). Attitude toward the ad as a mediator of consumer brand choice. Journal of Advertising, 10(2), 9-48.
Shimp, T. A. (2010). Advertising, promotion, and other aspect of integrated marketing communications. Edisi-8. South-Western Cengage Learning, USA.
Simon, F., & Tossan, V. (2018). Does brand-consumer social sharing matter? A relational framework of customer engagement to brand-hosted social media. Journal of Business Research, 85, 175-184.
Simon, H. A. (1954). Bandwagon and underdog effects and the possibility of election predictions. Public Opinion Quarterly, 18(3), 245-253.
Skalski, P., Tamborini, R., Glazer, E., & Smith, S. (2009). Effects of humor on presence and recall of persuasive messages. Communication Quarterly, 57(2), 136-153.
Slama, M., & Tashchian, A. (1985). Selected socioeconomic and demographic characteristics associated with purchasing involvement. Journal of Marketing, 49(1), 72-82.
Snyder, I. (2001). A New communication order: Research literacy practices in the network society. Language and Education, 15(2&3), 117-131.
Sohn, K., Canbolat, M. S., & Gardner, J. T. (2017). How should marketers deal with growth pattern changes in viral marketing campaigns? International Journal of Internet Marketing and Advertising, 11(2), 137-157.
Song, H., So, J., Shim, M., Kim, J., Kim, E., & Lee, K. (2023). What message features influence the intention to share misinformation about COVID-19 on social media? The role of efficacy and novelty. Computers in Human Behavior, 138, 107439.
Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.
Speck, P. S. (1987). On Humor and Humor in Advertising, Unpublished doctoral dissertation, Texas Tech University.
Spielmann, N. (2014). How funny was that? Uncovering humor mechanisms. European Journal of Marketing, 48(9/10), 1892-1910.
Spielmann, N., & Richard, M. O. (2013). How captive is your audience? defining overall advertising involvement. Journal of Business Research, 66(4), 499-505.
Spotts, H. E., Weinberger, M. G., & Parsons, A. L. (1997). Assessing the use and impact of humor on advertising effectiveness: A contingency approach. Journal of Advertising, 17-32.
Sprecher, S., Treger, S., Wondra, J. D., Hilaire, N., & Wallpe, K. (2013). Taking turns: reciprocal self-disclosure promotes liking in initial interactions. Journal of Experimental Social Psychology, 49(5), 860-866.
Srivastava, R. K., & Dorsch, M. J. (2020). Understanding the viability of three types of approach of advertising in emerging markets. Journal of Marketing Communications, 26(8), 799-812.
Stavrositu, C. D., & Kim, J. (2015). All blogs are not created equal: the role of narrative formats and user-generated comments in health prevention. Health Communication, 30(5), 485-495.
Sternthal, B., & Craig, C. S. (1973). Humor in advertising. Journal of marketing, 37(4), 12-18.
Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8(3), 220–247. doi: https://doi.org/ 10.1207/s15327957pspr0803_1
Suler, J. (2008). Cybertherapeutic Theory and Techniques. P1: IBE. doi: 10.1017/CBO9780511813740.006
Suls, J. M. (1972). “A Two-Stage Model for the Appreciation of Jokes and Cartoons: An Information-Processing Analysis,” In: J. H. Goldstein and P. E. McGhee, Eds., The Psychology of Humor: Theoretical Perspectives and Empirical Issues, Academic Press, New York, 1972, 81-100. doi: http://dx.doi.org/10.1016/B978-0-12-288950-9.50010-9
Summerfelt, H., Lippman, L., & Hyman Jr, I. E. (2010). The effect of humor on memory: Constrained by the pun. The Journal of General Psychology, 137(4), 376-394.
Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. In M. J. Metzger, & A. J. Flanagin (Eds.), Digital media, youth, and credibility. Cambridge, MA: The MIT Press. 73–100.
Sundar, S. S., & Nass, C. (2001). Conceptualizing sources in online news. Journal of Communication, 51(1), 52-72.
Sundar, S. S., Oeldorf-Hirsch, A., & Xu, Q. (2008). The bandwagon effect of collaborative filtering technology. In Proceedings of CHI’08 Extended Abstracts on Human Factors in Computing Systems, 26, 3453–3458. doi: https://doi.org/10.1145/ 1358628.1358873.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.
Taecharungroj, V. & Nueangjamnong, P. (2015). Humour 2.0: Styles and types of humour and virality of memes on Facebook. Journal of Creative Communications, 10(3), 288–302. doi: https://doi.org/10.1177/0973258615614420
Tama, K. (2018, August 10). Memes: A Digital Marketing Tool For Every Industry. Forbes. Retrieved from https://reurl.cc/a42vEY**
Tan, Y., Geng, S., Katsumata, S., & Xiong, X. (2021). The effects of ad heuristic and systematic cues on consumer brand awareness and purchase intention: Investigating the bias effect of heuristic information processing. Journal of Retailing and Consumer Services, 63, 102696. doi:10.1016/j.jretconser.2021.102696
Tanaka, K., Yamane, H., Mori, Y., Mukuta, Y., & Harada, T. (2022). Learning to Evaluate Humor in Memes Based on the Incongruity Theory. In Proceedings of the Second Workshop on When Creative AI Meets Conversational AI, 81-93.
Tay, G. (2015). Binders Full of LOLitics: Political humour, internet memes, and play in the 2012 US presidential election (And Beyond). European Journal of Humour Research, 2(4), 46–73. doi: 10.7592/EJHR2014.2.4.tay
Taylor, P. M. (1972). The relationship between humor and retention. Paper presented at Speech Communication Association, Chicago.
Teh, I. (2012). Characteristics of Memes. URL: https://ivanteh-runningman.blogspot. com/2012/02/characteristics-of-memes.html
Teng, H., Lo, C. F., & Lee, H. H. (2022), How do internet memes affect brand image? Online Information Review, 46(2), 304-318. doi: https://doi.org/10.1108/OIR-05-2020-0192
Terry, W. S. (2005). Serial position effects in recall of television commercials. The Journal of General Psychology, 132(2), 151-164.
Tessitore, T., & Geuens, M. (2013). PP for ‘product placement’ or ‘puzzled public’? The effectiveness of symbols as warnings of product placement and the moderating role of brand recall. International Journal of Advertising, 32(3), 419-442.
Thomas W. C., & James J. K. (2007) The influence of humor strength and humor—Message relatedness on ad memorability: A Dual Process Model, Journal of Advertising, 36(1), 55-67, doi: 10.2753/JOA0091-3367360104
Thorson, J. A., & Powell, F. C. (1991). Measurement of sense of humor. Psychological Reports, 69(2), 691-702
Thorson, J. A., & Powell, F. C. (1993). Development and validation of a multidimensional sense of humor scale. Journal of Clinical Psychology, 49(1), 13-23.
Tifentale, A., & Manovich, L. (2018). Competitive Photography and the Presentation of the Self. In Exploring the Selfie, 167-187.
Till, B. D., & Baack, D. W. (2005). Recall and persuasion: does creative advertising matter?. Journal of Advertising, 34(3), 47-57.
Tinder. (2017, August 25). Sounds about right. Picture. [Tweet]. Retrieved from https://reurl.cc/MyrAMn
Todorov, A., Chaiken, S., & Henderson, M. D. (2002). The heuristic-systematic model of social information processing. In J. P. Dillard, & M. Pfau (Eds.), The persuasion handbook: Developments in theory and practice (pp. 195–211). Thousand Oaks, CA: Sage. https://doi.org/10.4135/9781412976046.n11.
Toffler, A. (1980). The third wave. New York, NY: William Morrow.
Tomaž, K. & Walanchalee, W. (2020). One does not simply… project a destination image within a participatory culture. Journal of Destination Marketing & Management, 18, 100494. doi: https://doi.org/10.1016/j.jdmm.2020.100494
Tormala, Z. L., & Rucker, D. D. (2007). Attitude certainty: A review of past findings and emerging perspectives. Social and Personality Psychology Compass, 1(1), 469-492.
Tutaj, K., & Van Reijmersdal, E. A. (2012). Effects of online advertising format and persuasion knowledge on audience reactions. Journal of Marketing Communications, 18(1), 5-18.
Van der Lans, R., Van Bruggen, G., Eliashberg, J., & Wierenga, B. (2010). A viral branching model for predicting the spread of electronic word of mouth. Marketing Science, 29(2), 348–365. doi: https://doi.org/10.1287/mksc.1090.0520
Van Dijk. (1991). Racism and the Press. Routledge: London and New York.
Van Reijmersdal, E. A., Rozendaal, E., & Buijzen, M. (2012). Effects of prominence, involvement, and persuasion knowledge on children's cognitive and affective responses to advergames. Journal of Interactive Marketing, 26(1), 33-42.
Vashisht, D., & Royne, M. B. (2016). Advergame speed influence and brand recall: The moderating effects of brand placement strength and gamers’ persuasion knowledge. Computers in Human Behavior, 63, 162-169.
Vásquez, C., & Aslan, E. (2021). “Cats be outside, how about meow”: multimodal humor and creativity in an internet meme. Journal of Pragmatics, 171, 101-117.
Venkatesh, S. & Senthilkumar, N. (2015). Effectiveness of humor advertising on advertising success. International Journal of Management and Social Science Research Review, 1(9), 171-179.
Vinken, B. (1999). Transvesty—Travesty: Fashion and Gender. Fashion Theory, 3(1), 33-49.
Voorveld, H. A. (2019). Brand communication in social media: A research agenda. Journal of Advertising, 48(1), 14-26.
Waddell, T. F., & Bailey, E. (2019). Is social television the “anti-laugh track?” Testing the effect of negative comments and canned laughter on comedy reception. Psychology of Popular Media Culture, 8(1), 99–107. doi: https://doi.org/10.1037/ppm0000154
Waddell, T. F., & Sundar, S. S. (2017). #thisshowsucks! The overpowering influence of negative social media comments on television viewers. Journal of Broadcasting & Electronic Media, 61(2), 393–409. doi: https://doi.org/10.1080/08838151.2017.1309414
Waddell, T. F., & Sundar, S. S. (2020). Bandwagon effects in social television: How audience metrics related to size and opinion affect the enjoyment of digital media. Computers in Human Behavior, 107, 106270. doi: 10.1016/j.chb.2020.106270
Walter, N., Cody, M. J., Xu, L. Z., & Murphy, S. T. (2018). A priest, a rabbi, and a minister walk into a bar: A meta-analysis of humor effects on persuasion. Human Communication Research, 44(4), 343-373.
Wang, S., Chu, T. H., & Huang, G. (2023). Do Bandwagon Cues Affect Credibility Perceptions? A Meta-Analysis of the Experimental Evidence. Communication Research, 50(6), 720-744. doi: https://doi.org/10.1177/00936502221124395
Warnars-Kleverlaan, N., Oppenheimer, L., & Sherman, L. (1996). To be or not to be humorous: Does it make a difference? Humor: International Journal of Humor Research, 9(2), 117-141. https://doi.org/10.1515/humr.1996.9.2.117
Warren, C., Barsky, A., & McGraw, A. P. (2018). Humor, comedy, and consumer behavior. Journal of Consumer Research, 45(3), 529-552.
Wasike, B. (2022). Memes, Memes, Everywhere, nor Any Meme to Trust: Examining the Credibility and Persuasiveness of COVID-19-Related Memes. Journal of Computer-Mediated Communication, 27(2), 1–30. doi: https://doi.org/10.1093/jcmc/zmab024
Weber, M., & Quiring, O. (2019). Is it really that funny? Laughter, emotional contagion, and heuristic processing during shared media use. Media Psychology, 22(2), 173-195.
Weinberger, M. G., & Gulas, C. S. (1992). The Impact of Humor in Advertising: A Review. Journal of Advertising, 21(4), 35–59. doi: https://doi.org/10.1080/00913367.1992.10673384
Weinberger, M. G., & Gulas, C. S. (2019). The emergence of a half-century of research on humour in advertising: What have we learned? What do we still need to learn? International Journal of Advertising, 38(7), 911–956. doi: https://doi.org/10.1080/02650487.2019.1598831
Weinberger, M. G., Spotts, H., Campbell, L., & Parsons, A. L. (1995). The use and effect of humor in different advertising media. Journal of Advertising Research, 35(3), 44-56.
Widyanto, H. A., & Saleh, T. A. R. (2018). The Influence Of Customers’ perception and attitudes toward customer purchase intention at gramedia lembuswana, samarinda. Firm Journal of Management Studies, 3(1), 84-97.
Wiggins, B. E., & Bowers, G. B. (2015). Memes as genre: A structural analysis of the memescape. New Media & Society, 1-21. doi: 10.1177/1461444814535194
Williams, R. (2000), The business of memes: memetic possibilities for marketing and management. Management Decision, 38(4), 272-279.
Williamson, J. (1978). Decoding Advertisements: Ideology and meaning in advertising. London: Marion Boyars.
Winter, S., Brückner, C., & Krämer, N. C. (2015). They came, they liked, they commented: Social influence on Facebook news channels. Cyberpsychology, Behavior, and Social Networking, 18(8), 431-436.
Woltman Elpers, J. L. C. M., Mukherjee, A., & Hoyer, W. D. (2004). Humor in television advertising: A moment-to-moment analysis. Journal of Consumer Research, 31(3), 592–598. doi: https://doi.org/10.1086/425094
Wu, P. C., Yeh, G. Y. Y., & Hsiao, C. R. (2011). The effect of store image and service quality on brand image and purchase intention for private label brands. Australasian Marketing Journal (AMJ), 19(1), 30-39.
Wu, Y., & Ardley, B. (2007). Brand strategy and brand evolution: welcome to the world of the meme. The Marketing Review, 7(3), 301–310. doi: https://doi.org/10.1362/146934707x230112
Wyer, R. S., & Collins, J. E. (1992). A theory of hu-mor Elicitation, Psychological Review, 99, 663–688.
Xiao, M., Wang, R., & Chan-Olmsted, S. (2018). Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model. Journal of Media Business Studies, 15(3), 188–213.
Xie, L., Natsev, A., Kender, J. R., Hill, M., & Smith, J. R. (2011). Visual memes in social media. Proceedings of the 19th ACM International Conference on Multimedia - MM ’11. doi:10.1145/2072298.2072307
Yang, G. (2022). Using Funny Memes for Social Media Marketing: The Moderating Role of Bandwagon Cues. Journal of Promotion Management, 28(1), 1-17. doi: 10.1080/10496491.2022.2054904
Yang, H., & Oliver, M. B. (2004). Exploring the effects of online advertising on readers' perceptions of online news. Journalism & Mass Communication Quarterly, 81(4), 733-749.
Yang, J. (2016). Effects of popularity‐based news recommendations (“mostviewed”) on users’ exposure to online news. Media Psychology, 19(2), 243–271. doi: https://doi.org/10.1080/15213269.2015.1006333
Yang, X., & Smith, R. E. (2009). Beyond attention effects: Modeling the persuasive and emotional effects of advertising creativity. Marketing Science, 28(5), 935-94
Yeo, S. K., Su, L. Y. F., Cacciatore, M. A., McKasy, M., & Qian, S. (2020). Predicting intentions to engage with scientific messages on Twitter: The roles of mirth and need for humor. Science Communication, 42(4), 481-507. doi: https://doi.org/10.1177/1075547020942512
Ying, X., Wang, Y., Fu, A. A., & Luo, J. (2023). What kind of internet memes do you like? People’s preference for the memes expressing the positivity, humor, aggression emotions. Journal of Pacific Rim Psychology, 17, 1-17. doi: 10.1177/18344909231173249
Yoon, H. J., & Tinkham, S. F. (2013). Humorous Threat Persuasion in Advertising: The Effects of Humor, Threat Intensity, and Issue Involvement, Journal of Advertising, 42(1), 30-41. doi: 10.1080/00913367.2012.749082
Youngman, R. C. (1966). An experimental investigation of the effect of germane humor versus non-germane humor in an informative communication. Masters thesis, Ohio University
YPulse. (2021, July 21). Social media behavior: Vital insights into Gen Z and Millennials' behavior, plans, and views—with major takeaways for brands (2019). retrieved from https://www.ypulse.com/report/2019/02/20/topline-social-media-behavior2/
Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341-352.
Zaichkowsky, J. L. (1986). Conceptualizing involvement. Journal of Advertising, 15(2), 4-34.
Zaichkowsky, J. L. (1994). The personal involvement inventory: Reduction, revision, and application to advertising. Journal of Advertising, 23(4), 59-70.
Zannettou, S., Caulfield, T., Blackburn, J., De Cristofaro, E., Sirivianos, M., Stringhini, G., & Suarez-Tangil, G. (2018). On the origins of memes by means of fringe web communities. In Proceedings of the internet measurement conference 2018 (pp. 188-202).
Zemborain, M. R., & Johar, G. V. (2007). Attitudinal ambivalence and openness to persuasion: a framework for interpersonal influence. Journal of Consumer Research, 33(4), 506-514.
Zenetti, G., & Klapper, D. (2016). Advertising effects under consumer heterogeneity – the moderating role of brand experience, advertising recall and attitude. Journal of Retailing, 92(3), 352–372.
Zenner, E., & Geeraerts, D. (2018). One does not simply process memes: image macros as multimodal constructions. Cultures and Traditions of Wordplay and Wordplay Research, 167-194. doi:10.1515/9783110586374-008
Zhang, B., & Pinto, J. (2021). Changing the World One Meme at a Time: The Effects of Climate Change Memes on Civic Engagement Intentions. Environmental Communication, 15(6), 749-764. doi: https://doi.org/10.1080/17524032.2021.1894197
Zhang, K. Z., Zhao, S. J., Cheung, C. M., & Lee, M. K. (2014). Examining the influence of online reviews on consumers’ decision-making: a heuristic–systematic model. Decision Support Systems, 67, 78–89.
Zhang, T., & Huang, X. (2022). Viral marketing: Influencer marketing pivots in tourism–a case study of meme influencer instigated travel interest surge. Current Issues in Tourism, 25(4), 508-515. doi: 10.1080/13683500.2021.1910214
Zhang, W., Li, S., Zhang, D., & Hou, W. (2014). On the impact of advertising initiatives in supply chains. European Journal of Operational Research, 35(4), 99-107. https://doi.org/10.2753/JOA0091-3367350408
Zhang, Y. (1996). The effect of humor in advertising: An individual‐difference perspective. Psychology & Marketing, 13(6), 531-545.
Zhang, Y., & Zinkhan, G. M. (2006). Responses to humorous ads: Does audience involvement matter?. Journal of Advertising, 35(4), 113-127.
Zubiaga, A., Spina, D., Martínez, R., Fresno, V. (2015), Real‐time classification of twitter trends. Journal of the Association for Information Science and Technology, 66(3), 462-473