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題名：以大數據觀點探索網路謠言的「網路模因」傳播模式
書刊名：中華傳播學刊
作者：傅文成／陶聖屏 引用關係
作者(外文)：Fu, Wen-cheng／Tao, Sheng-ping
出版日期：2018
卷期：33
頁次：頁99-135
主題關鍵詞：大數據；社群網站；網路模因；網路謠言；Big data；Social media；Internet memes；Online rumors
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(5) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:4
  • 共同引用共同引用:31
  • 點閱點閱:17
本研究目的為應用網路模因理論為架構，以2013年洪仲丘事件為背景，透過大數據文本分析法，以R語言及簡易貝氏機器（naïve bayes classifier）學習工具，蒐整12,197網路公開頁面，分析90,062則文本，檢視社群網站及網路傳統媒體的謠言傳播模式。研究發現相較全假謠言，半真假謠言在被複製的持續時間、傳統媒體複製次數、社群媒體複製次數均明顯高於全假謠言。半真假謠言變異程度與擴散程度皆高於全假謠言，且謠言在社群媒體上的傳播能力明顯高於網路傳統媒體。
This study applied the concept of Internet memes and the background of the 2013 Hung Chung-Chiu case to examine the dynamics and circulation of fake news and rumors on social media and in traditional media. By applying big data analytics with R and Bayesian machine learning, this study examined the interactions and interplay of misinformation in multimedia convergence. Our findings, retrieved from 12,197 public pages and 90,062 news items, revealed that ＂partial rumors＂ are significantly more contagious than ＂pure rumors＂ in terms of replication, variation, and competition. Furthermore, compared with online news media, fake news circulates on social media more intensively and frequently.
期刊論文
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15.劉吉軒(2016)。大數據分析與人文社會科學跨領域研究應用。傳播文化，15，4-47。new window  延伸查詢new window
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會議論文
1.Leskovec, J.、Backstrom, L.、Kleinberg, J.(2009)。Meme-tracking and the dynamics of the news cycle。The 15th ACM SIGKDD international conference on knowledge discovery and data mining。Paris。  new window
2.Adar, E.、Adamic, L. A.(2005)。Tracking information epidemics in blogspace。The 2005 IEEE/WIC/ACM International Conference on Web Intelligence。  new window
3.Heylighen, Francis Paul(1998)。What makes a meme successful? Selection criteria for cultural evolution。The 15th International Congress on Cybernetics。Namur。418-423。  new window
4.Lee, C. S.、Liao, J. X.、Kuo, Y. H.(2002)。A Semantic-based Concept Clustering Mechanism for Chinese News Ontology Construction。International Computer Symposium。Hualien。  new window
5.Lynn, T.、Healy, P.、Kilroy, S.、Hunt, G.、van der Werff, L.、Venkatagiri, S.、Morrison, J.(2015)。Towards a general research framework for social media research using big data。The 2015 IEEE International Professional Communication Conference。Limerick。  new window
研究報告
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圖書
1.Tuffery, Stephane、Riesco, Roderick(2011)。Data Mining and Statistics for Decision Making。John Wiley & Sons Inc。  new window
2.Allport, Gordon W.、Postman, Leo J.(1947)。The Psychology of Rumor。Henry Holt。  new window
3.Stubbs, Michael(1996)。Text and Corpus Analysis: computer-assisted studies of language and culture。Oxford：Blackwell。  new window
4.Kimmel, A. J.(2004)。Rumors and Rumor Control: A Manager's Guide to Understanding and Combating Rumors。Lawrence Erlbaum Associates。  new window
5.Sunstein, C. R.(2009)。On rumors: How falsehood spread, why we believe them, what can be done。New York, NY：Farrar, Strauss and Giroux。  new window
6.Dawkins, Richard(1989)。The selfish gene。Oxford University Press。  new window
7.Kapferer, J. N.(1990)。Rumors--Uses, Interpretations, and Images。New Brunswick, NJ：Transaction Publishers。  new window
8.財團法人台灣網路資訊中心(2016)。2016年台灣寬頻網路使用調查報告。台北市：國立政治大學。  延伸查詢new window
9.Allport, G. W.、Postman, L.(1965)。The psychology of rumor。New York：Russell & Russell。  new window
10.Menczer, F.、Vespignani, A.、Flammini, A.、Bollen, J.(2016)。Meme diffusion through mass social media。Indiana University Press。  new window
11.Shifman, Limor(2014)。Memes in digital culture。MIT Press。  new window
12.Weir, W.(2009)。History's greatest lies: The starting truths behind world events our history books got wrong。Beverly, MA：Fair Winds。  new window
其他
1.Rutenberg, J.(20161120)。Mark Zuckerberg and Facebook must defend the truth，http://www.nytimes.com/2016/11/21/business/media/zuckerberg-and-facebook-must-defendthe-truth.html。  new window
2.Harris, G.，Eddy, M.(20161117)。Obama, with Angela Merkel in Berlin, assails spread of fake news，http://www.nytimes.com/2016/11/18/world/europe/obama-angela-merkel-donald-trump.html。  new window
3.Wong, J. I.(20161130)。Almost all the traffic to fake news sites is from Facebook, new data show，https://qz.com/848917/facebook-fb-fake-news-data-fromjumpshot-its-the-biggest-traffic-referrer-to-fake-and-hyperpartisannews-sites/。  new window
圖書論文
1.Bordia, P.、DiFonzo, N.(2005)。Psychological motivations in rumor spread。Rumor mills: The social impact of rumor and legend。New Brunswick, NJ：Aldine Transaction。  new window
2.Fine, G. A.(2005)。Rumor matters: An introductory essay。Rumor mills: The social impact of rumor and legend。New Brunswick, NJ：Aldine Transaction。  new window
3.Heath, C.、Campion-Vincent, V.、Fine, G. A.(2005)。Rumor and legend: Seven questions。Rumor mills: The social impact of rumor and legend。New Brunswick, NJ：Aldine Transaction。  new window
 
 
 
 
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