在經歷過2016年美國總統大選、英國脫歐、關西機場事件之後，我們的社會開始大量關注「假新聞」這個議題，在意假新聞所帶來的危害，以及對於解方的尋求。要解決假新聞的問題，我們必須先瞭解假新聞從何而來，一般來說，假訊息經過跨平台的轉傳之後，難以追查最起始的源頭訊息，但是我們可以確切知道的是這些訊息多半會經過「內容農場」這樣的網站，經過分享、轉傳到各大社群平台或是通訊軟體之上。「內容農場」經過網域的轉換，更改名稱之後，又會再一次的出現在閱聽眾的眼前，就像是不易徹底清除且易於繁殖的病毒，那我們是否可以用教育來遏止假新聞的傳播？

人工智慧的出現與大數據的資料處理，為我們提供了技術上的協助，本研究參照以我國中央研究院的CKIP系統以及大量新聞資料作為依據，輔以DNN深度學習所製作出的新聞可信度的判別系統來設計實驗課程，希望更有效率的幫助閱聽人判別訊息，提供閱聽人在判別訊息時有一個評判的依據。本研究期望暸解，當閱聽人採用該系統作為輔助工具之後，「媒體素養」的相關認知與態度是否有顯著正面的提升，期望能夠在假訊息充斥的時代，為閱聽人提供一種額外的方式，避免受到假訊息的影響，進而維繫得來不易的民主社會。

After the 2016 U.S. presidential election, Brexit, and the Kansai Airport incident, our society has begun to pay huge attention to the harm caused by "fake news," and to search for solutions. "Media literacy" has been known as a way to solve this problem. In this research, the researchers tries to realize people who use the system by artificial intelligence will improve their attitude towards media literacy or not.

The system is based on the CKIP system which serves as a natural language processor from Taiwan Academia Sinica and integrates a large amount of news database, including messages from regular media, content farms as well as the artificial intelligence produced by DNN . 

In this experiment, the lesson was designed and based on media literacy but only the experiment group used the system as an auxiliary tool to distinguish fake news from real ones. After that, we find out the attitude of learning media literacy and checking the information have more positive attitude compared to the control group, and their performance of identifying messages as well.

This study aims to understand whether the cognition and attitude related to "media literacy" will be significantly improved after the audience uses the system as an auxiliary tool. It is hoped that it will provide an additional benefit for the audience in the era of “post-truth”. this is the only way to avoid the influence of false information and further establish an advanced democratic society.

中文文獻
FB專頁儀表板（2019年4月）。內容農場與粉絲團的關係【臉書資料】。取自https://www.facebook.com/pageboardtw/posts/290922024832869/
中央社(2018)。臉書打擊假新聞首次在台用全版廣告宣導。取自 https://www.cna.com.tw/news/afe/201810220368.aspx 
孔德廉，柯皓翔，劉致昕，許家瑜（2019）。打不死的內容農場——揭開「密訊」背後操盤手和中國因素。報導者。取自https://www.twreporter.org/a/information-warfare-business-content-farm-mission
尹玫君( 1993 )。「練習式及指導式電腦輔助教學軟體之探討」，國立台南師範學院初等教育學報，6，117-130。
王世英、王石番、蔣安國（2010）。國民小學學童媒體使用行為之研究─教師媒體素養教育反思。教育資料與研究，95，59-86。
古智勇( 2003 )。動畫網頁輔助學習數學幾何成效之研究─以國小六年級角柱和角錐單元為例。屏東師範學院數理教育研究所碩士論文，屏東市。
台灣事實查核中心（2019）。年度報告。取自：https://tfctaiwan.org.tw/about/annualreport。
何吉森（2018）。假新聞之監理與治理探討。傳播研究與實踐，8(2)，1-41
吳昂臻（2017）。多媒體廣告刊登在內容農場網頁與一般網站的成效比較。元智大學資訊管理學系碩士班碩士論文，桃園市。
吳美美（1996）。在新時空座標中的圖書館功能—談資訊素養教育。Journal of Library and Information Science，22。
吳美美（2004）。資訊素養與媒體素養。數位時代的素養與素養教育。台灣教育，629，09-14。
吳唐靖（2016）。臉書使用者的網路新聞創用－守門或分享？。國立政治大學傳播學院新聞學系碩士論文，台北市。
吳曼如（2009）。從媒體素養觀點探討校園 電視臺規劃─ 以臺北市 JK 國小為例。國立臺北教育大學教育傳播與科技研究所碩士論文，台北市。
吳翠珍、陳世敏（2006）。國民中小學媒體 素養教育融入各領域/議題學習內涵發展 暨教學相關之研究。教育部委託專案。臺北：政治大學媒體素養教育研究室。
呂琦瑋（2013）。從使用者觀點探究社群媒體時代下的新聞消費意涵：以 Facebook 為例。國立臺灣師範大學大眾傳播研究所碩士論文，台北市。
李珮瑜（2014）。英國媒體素養教育對臺灣媒體素養教育之啟示。教育傳播與科技研究 , 107, 11-27。
谷玲玲、劉幼琍（2011）。我國公共電視體制的現況與未來。廣播與電視，32，109-139
周芳典、陳國明（2005）。媒介素養概論。臺北市：五南。
林菁、陳尚蕙（2009）。國民小學教師媒體素養之調查研究。台中教育大學學報教育類，23(2)，1-28。
林照真（2018）。假新聞情境初探：以阿拉伯世界的資訊逆流為例。傳播研究與實踐，8(1)，1-26
林照真（2020）。假新聞類型與媒體聚合: 以 2018 年臺灣選舉為例。新聞學研究，142，111-153。
林雍智（2015）。臺灣媒體素養教育政策2008~2014分析研究。國立臺灣師範大學教育政策暨行政研究所碩士論文，台北市。
林聰吉（2012）。台灣民眾的機構信任:以媒體信任為分析焦點。東吳政治學報，30(1)：43-79。
柯雲娥（2005）。傳播學門大學生資訊素養能力的研究。圖書與資訊學刊，(56)，96-116。
洪榮昭、劉明洲( 1999 )。電腦輔助教學之設計原理與應用。臺北:師大書苑。
胡元輝（2017）。正視反媒體壟斷的數位使命。媒體改造學社。取自http://twmedia.org/archives/1886。
胡元輝（2019）。破解假訊息的媒體素養。優質新聞發展協會。
胡林辳（2019）。植基於深度學習假新聞人工智慧偵測：台灣與美國真實資料實作。國立臺北大學資訊管理研究所碩士論文，新北市。
唐淑珍（2019）。論大數據下Facebook假新聞傳播現象。文化創意產業研究學報，8(3)，31-36。
孫士雄（2001）。多媒體電腦輔助教學對問題解決能力、機械製圖學習成效與學後保留之研究。國立彰化師範大學工業教育與技術學系碩士論文。彰化縣。
徐美苓（2015）。影響新聞可信度與新聞素養效能因素之探討。中華傳播學刊，27，99-136。
教育部（2011）。中華民國教育報告書。台北市：教育部。
許雅雁（2012）數位遊戲式輔助教學對八年級學童科學態度和學習動機之影響初探─以「大氣壓力」單元為例，國立臺北教育大學理學院數位科技設計學系玩具與遊戲設計碩士班碩士論文，台北市。
陳尚蕙、林菁（2007）。國民小學教師媒體素養程度之調查研究。華人社會的教師教育發展學術研討會。澳門：澳門大學。
陳炳宏（2019）。「科技資訊與媒體素養」尬瞎密。蘋果日報。取自：https://tw.appledaily.com/forum/20200911/EMWDHXS3EVF27IN7YOITUQUQEU/
陳惠秋（2017）。App 輔助學習英語字彙之研究。聖約翰科技大學機械與電腦輔助工程系碩士論文，新北市。
喬瑟芬（2020）。內容農場再進化？當「德國研究」取代「英國研究」。鳴人堂。取自https://opinion.udn.com/opinion/story/8703/4574310
辜美安、陳雅雯 （2017）。網上「內容農場」治療糖尿病文章的內容初探。中華民國糖尿病衛教學會會訊，13卷4期，40-46
黃宇弘（2019）。大學生假新聞認知與教育看法研究。國立政治大學圖書資訊與檔案學研究所碩士論文，台北市。
黃哲斌（2015）。〈記者上網抄臉書？這樣抄才有學問〉。天下雜誌。取自：https://www.cw.com.tw/article/5073412
黃珮瑛（2007）。國小學生對學校與民間視覺藝術課程學習態度之研究--以台中縣清水鎮為例。國立新竹教育大學人資處美勞教學碩士班碩士論文，新竹市。
劉致昕（2019）。深入全球假新聞之都，看「境外網軍」是如何煉成的？。報導者。取自https://www.twreporter.org/a/cyberwarfare-units-disinformation-fake-news-north-macedonia。
劉致昕，柯皓翔、許家瑜（2019）。LINE群組的假訊息從哪來？跨國調查，追出內容農場「直銷」產業鍊。報導者。取自：https://www.twreporter.org/a/information-warfare-business-disinformation-fake-news-behind-line-groups
劉慧雯（2015）。從媒體素養到新素養：試論教學策略與認識論的轉變。中華傳播學刊，27，67-98。
鄭麗珍、江彥孟、游政憲（2019）。〈應用深度學習技術於網路虛假評論偵測〉。《電子商務學報》，21（2）：229-252
蕭仁豪（2018）。日本人工智慧(AI)發展與著作權法制互動課題之探討。科技法律透析，30(1)，46-72。
閻自安（2015）。問題導向式行動學習的整合應用： 以高等教育為例。課程研究，10(1)，51-69。
謝佩穎（2019）。淺論新聞自由與報導真實性之法律關係。NCC NEWS，13。2019，取自：https://nccnews.com.tw/201902/ch2.html
鍾慧錦（2018）。拒絕假新聞！LINE轉傳行為之研究。佛光大學傳播學系碩士論文，宜蘭縣。
羅世宏（2018）。關於假新聞的批判思考：老問題、新挑戰與可能的多重解方。資訊社會研究，35，51-86。

英文文獻
Ahmad, I., Yousaf, M., Yousaf, S., & Ahmad, M. O. (2020). Fake News Detection Using Machine Learning Ensemble Methods. Complexity, 2020.
Allcott, H. & Gentzkow, M. (2017). Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives, 31(2), 211–236. https://doi.org/10.1257/jep.31.2.211
Alliance for a Media Literate America. Welcome to the Alliance for a Media Literate America. 2007. < http://www.amlainfo.org/> (24 July 2007). 
Bachmann, I., & Harlow, S. (2012). Opening the gates: Interactive and multimedia elements of newspaper websites in Latin America. Journalism Practice, 6(2), 217-232.
Bakker, P. (2012). Aggregation, content farms and Huffinization: The rise of low-pay and no-pay journalism. Journalism practice, 6(5-6), 627-637.
Banaji, S. (2011). Disempowering by assumption: “Digital natives” and the EU civic web project. In M. Thomas (Ed.), Deconstructing digital natives: Young people, technology and the new literacies (pp. 49-66). New York: Routledge.
Bauer, R. A. (1946). "The obstinate audience", American Psychologist, 19: 319-328.
Berinsky, A. (2015). Rumors and Health Care Reform: Experiments in Political Misinformation. British Journal of Political Science,1(02),1-22. doi:10.1017/S0007123415000186
Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational researcher, 18(1), 32-42.
Buckingham, D. (1990). Media education: From pedagogy to practice. In D. Buckingham (Ed.), Watching media learn- ing: Making sense of media education (pp. 3-15). London: Falmer.
Buckingham, D. (2003). Media education and the end of the critical consumer. Harvard educational review, 73(3), 309-327.
Buckingham, D. (2007). Digital Media Literacies: rethinking media education in the age of the Internet. Research in Comparative and International Education, 2(1), 43-55.
Buckingham, D. (2017). Fake news: is media literacy the answer. Retrieved from https://davidbuckingham.net/2017/01/12/fake-news-is-media-literacy-the- answer/ 
Carr, A. (2016). Low Quality Websites: Content Farms, ACC library Guides, Retrieved December 15, 2016, from http://researchguides.austincc.edu/contentfarms
Cassidy, W. P. (2007). Online news credibility: An examination of the perceptions of newspaper journalists. Journal of Computer-Mediated Communication, 12, 478-498. 
Cohen, N. (2008.01.21). Campaign Reporting in Under 140 Taps. Retrieved May 15, 2012, from http://www.nytimes.com/2008/01/21/technology/21link.html
Colleoni, E., Rozza, A., & Arvidsson, A. (2014). Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data. Journal of communication, 64(2), 317-332.
Csikszentmihalyi, M., & Csikzentmihaly, M. (1990). Flow: The psychology of optimal experience (Vol. 1990). New York: Harper & Row.
DeBoer, J., Ho, A. D., Stump, G. S., & Breslow, L. (2014). Changing “course”: Reconceptualizing educational variables for massive open online courses. Educational Researcher, 43(2), 74-84.
DiFranzo, D., & Gloria-Garcia, K. (2017). Filter bubbles and fake news. XRDS: Crossroads, The ACM Magazine for Students, 23(3), 32-35.
Duch, B. J., Groh, S. E., & Allen, D. E. (2001). The power of problem-based learning: A practical ‘how to’ for teaching undergraduate courses in any discipline. Sterling, VA: Stylus.
Edens, K. M. (2000). Preparing problem solvers for the 21st century through Problem-based Learning. College Teaching, 48(2), 55-60.
EUROPEAN COMMISSION. Media and Learning Conference, 10 March 2016, Brussels
Festinger, L. (1962). Cognitive dissonance. Scientific American, 207(4), 93–107.
Gardner, P. L. (1975). Attitudes to Science. Studies in Science Education, 2, 1-41.
Garrett, R. K. (2009). Echo chambers online? : Politically motivated selective exposure among Internet news users. Journal of computer-mediated communication, 14(2), 265-285.
Google (2016). Webmaster Guidelines, Retrieved December 11, 2016, from http://support.google.com/webmaster/answer/35769
Graber, D, A., (1988). Processing the news. N Y: Longman.
Hartley, J. (2002). Communication, cultural and media studies: The key concets. 
Harvard Library. (2017). Fake News, Misinformation, and Propaganda. Retrieved from https://guides.library.harvard.edu/fake 
Hasher, L., Goldstein, D., & Toppino, T. (1977). Frequency and the conference of referential validity. Journal of verbal learning and verbal behavior, 16(1), 107-112.
Hicks, B., & Hyde, D.(1973). Teaching about CA1. Journal of Teacher Education, 24, 120. 
Hobbs, R., & Jensen, A. (2009). The past, present, and future of media literacy education. Journal of media literacy education, 1(1), 1.
Horne, B., & Adalı, S. (2017, May). This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 11, No. 1).
Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion. Psychological studies of opinion change. New Haven: Yale University Press.
Hovland, C. I., Lumsdaine, A. A., & Sheffield, F. D. (1949). Experiments on mass communication. Princeton University Press.
International Federation of Library Associations.(2016). How To Spot Fake News. Retrieved from https://www.ifla.org/publications/node/11174 
Jones, E. E., & McGillis, D. (1976). Correspondent inferences and the attribution cube: A comparative reappraisal. New directions in attribution research, 1, 389-420.
Kahneman, D. (2003). A perspective on judgment and choice: mapping bounded rationality. American psychologist, 58(9), 697.
Keller, J. M. (1983). Motivational design of instruction. Instructional design theories and models: An overview of their current status, 1(1983), 383-434.
Keller, J. M. (1987a). Development and use of the ARCS model of instructional design. Jour-nal of Instructional Development, 10(3), 2-10. 
Keller, J. M. (1987b). Strategies for stimulating the motivation to learn. Performance & Instruction, 26(8), 1-7. 
Kellner, D., & Share, J. (2005). Toward critical media literacy: Core concepts, debates, organizations and policy. Discourse: Studies in the cultural politics of education, 26(3), 369–386.
Kunda, Z. (1990). The case for motivated reasoning. Psychological bulletin, 108(3), 480.
Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ... & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094-1096.
Leavis, F., & Thompson, D. (1933). Culture and environment: The training of critical awareness. London: Chatto and Windus.
Lim, S. S., and E. Nekmat (2008) Learning through „prosuming‟: Insights from media literacy programmes in Asia. Science Technology & Society 13 (2), 259-278.
Livingstone, S. (2003). On the challenges of cross-national comparative media research. European journal of communication, 18(4), 477-500.
Livingstone, S., Van Couvering, E., & Thumim, N. (2004). Adult media literacy - a review of the research literature on behalf of Ofcom. London, UK: Office of Communications. 
Masterman, L. (2004). Teaching the media. London: Routledge.
Mayor, M. (2002-2020). Macmillan Dictionary. London: Macmillan Education.
McLuhan, M. (1964). Radio: The tribal drum. AV communication review, 12(2), 133-145.
Newman, N., Fletcher, R., Kalogeropoulos, A., Levy, D. A., & Nielsen, R. K. (2018). Reuters Institute digital news report 2018. Retrieved from https://reutersinstitute.politics.ox.ac.uk/sites/default/files/digital-news-report- 2018.pdf
Nwachukwu, J. O. (2017). Ex-British lawmaker, Eric Stuart pronounces President Buhari dead. Daily Post.
Nyhan, B., & Reifler, J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior, 32, 303-330. doi:10.1007/s11109-010-9112- 2 
Nyhan, B., & Reifler, J. (2019). The roles of information deficits and identity threat in the prevalence of misperceptions. Journal of Elections, Public Opinion and Parties, 29(2), 222-244.
Ofcom. (2010). UN children's media literacy. Retrieved November 18, 2013, from http://stakeholders.ofcom.org.uk/binaries/research/media-literacy/ukchildrensml1.pdf
O'Keffe, D. J. (1992). Persuasion: Theory and research. Newbury Park: Sage.
Okoro, E. M., Abara, B. A., Umagba, A. O., Ajonye, A. A., & Isa, Z. S. (2018). A hybrid approach to fake news detection on social media. Nigerian Journal of Technology, 37(2), 454-462.
Okoro, E. M., Abara, B., Alan-Ajonye, A., Isa, Z., & Umagba, A. (2019). EFFECTS OF HUMAN AND HUMAN-MACHINE FAKE NEWS DETECTION APPROACHES ON USER DETECTION PERFORMANCE. International Journal of Advanced Research in Computer Science, 10(1).
Pennycook, G., & Rand, D. G. (2017). Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. Retrieved from https://ssrn.com/abstract=3023 545
Pennycook, G., & Rand, D. G. (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39-50.
Potter, W. J. (2004). Argument for the need for a cognitive theory of media literacy. American Behavioral Scientist, 48 (2), 266-272.
Rozenblit, L., & Keil, F. (2002). The misunderstood limits of folk science: An illusion of explanatory depth. Cognitive science, 26(5), 521-562.
Rubin, V. L., & Conroy, N. (2012). Discerning truth from deception: Human judgments and automation efforts. First Monday, 17(5).
Rubin, V. L., Conroy, N., Chen, Y., & Cornwell, S. (2016, June). Fake news or truth? using satirical cues to detect potentially misleading news. In Proceedings of the second workshop on computational approaches to deception detection (pp. 7-17).
Schwalbe, C. B., Silcock, B. W., & Candello, E. (2015). Gatecheckers at the visual news stream: A new model for classic gatekeeping theory. Journalism Practice, (ahead-of-print), 1-19 
Schweiger, W. (2000). Media credibility -- Experience or image? A survey on the credibility of the World Wide Web in Germany in comparison to other media. European Journal of Communication, 15, 37-59. 
Silverman, C. (2015). Lies, damn lies and viral content.
Sipple, C. J., & Sipple, R. J. (1980, 3rd ed) Computer dictionary. Indianapolis, Ind.: H. W. Sams. 
Sundar, S. S., & Nass, C. (2001). Conceptualizing sources in online news. Journal of Communication, 51(1), 52-72.
Sunstein, C. R. (2001). Republic.com. Princeton, NJ: Princeton University Press.
Tandoc, E. C., Lim, Z. W., & Ling, R. (2018). Defining "Fake News" A typology of scholarly definitions. Digital Journalism, 6(2), 137-153. 
Tapscott, D. & Williams, A. D. (2010). Wikinomics: How mass collaboration changes everything. USA: Penguin Group.
Techopedia Inc. (n.d.). Content Farm, Retrieved December 29, 2016, from http://www.tecopedia.com/definition/16897/content-farm
Thompson, A., Simonson, M. R., & Hargrave, C. (1996). Educational technology: A review of the research. Association for educational communications and technology.
United Nations Educational Scientific and Cultural Organization. (2013). Global Media and Information Literacy Assessment Framework: country readiness and competencies. Retrieved from http://unesdoc.unesco.org/images/0022/002246/224655e.pdf
United Nations Educational Scientific and Cultural Organization. (2011). Towards Media and Information Literacy Indicators. Retrieved from https://www.ifla.org/files/assets/information-literacy/publications/towards- media-and-Information-literacy-indicators.pdf 
Van Alstyne, M., & Brynjolfsson, E. (1996, December). Electronic communities: Global village or cyberbalkans. In Proceedings of the 17th International Conference on Information Systems. New York: Wiley (p. 32).
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151.
Wardle, C. (2017). Fake news. It’s complicated. First Draft, 16, 1-11.
Wardle, C. (2021, January 8). The information ecosystem that led to the Capitol attack. The Boston Globe. Retrieved from https://www.bostonglobe.com/2021/01/08/opinion/misinformation-campaign-that-led-capitol-attack/
Wu, K., Yang, S., & Zhu, K. Q. (2015, April). False rumors detection on sina weibo by propagation structures. In 2015 IEEE 31st international conference on data engineering (pp. 651-662). IEEE.
Zhou, X., & Zafarani, R. (2020). A survey of fake news: Fundamental theories, detection methods, and opportunities. ACM Computing Surveys (CSUR), 53(5), 1-40.