Misinformation spreading on Facebook

Social media are pervaded by unsubstantiated or untruthful rumors, that contribute to the alarming phenomenon of misinformation. The widespread presence of a heterogeneous mass of information sources may affect the mechanisms behind the formation of public opinion. Such a scenario is a florid environment for digital wildfires when combined with functional illiteracy, information overload, and confirmation bias. In this essay, we focus on a collection of works aiming at providing quantitative evidence about the cognitive determinants behind misinformation and rumor spreading. We account for users’ behavior with respect to two distinct narratives: (a) conspiracy and (b) scientific information sources. In particular, we analyze Facebook data on a time span of 5 years in both the Italian and the US context, and measure users’ response to (1) information consistent with one’s narrative, (2) troll contents, and (3) dissenting information e.g., debunking attempts. Our findings suggest that users tend to (a) join polarized communities sharing a common narrative (echo chambers), (b) acquire information confirming their beliefs (confirmation bias) even if containing false claims, and (c) ignore dissenting information.

[1]  Silvia Knobloch-Westerwick,et al.  Selective Exposure and Reinforcement of Attitudes and Partisanship Before a Presidential Election , 2012 .

[2]  Rediet Abebe Can Cascades be Predicted? , 2014 .

[3]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[4]  Guido Caldarelli,et al.  Science vs Conspiracy: Collective Narratives in the Age of Misinformation , 2014, PloS one.

[5]  Duncan J. Watts,et al.  Everyone's an influencer: quantifying influence on twitter , 2011, WSDM '11.

[6]  Jacob Ratkiewicz,et al.  Detecting and Tracking Political Abuse in Social Media , 2011, ICWSM.

[7]  Eli Pariser FILTER BUBBLE: Wie wir im Internet entmündigt werden , 2012 .

[8]  Arun Sundararajan,et al.  Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks , 2009, Proceedings of the National Academy of Sciences.

[9]  Pierre Lévy,et al.  Collective Intelligence: Mankind's Emerging World in Cyberspace , 1997 .

[10]  R. Nickerson Confirmation Bias: A Ubiquitous Phenomenon in Many Guises , 1998 .

[11]  Guido Caldarelli,et al.  Debunking in a world of tribes , 2015, PloS one.

[12]  S. Aikin Poe's Law, group polarization, and argumentative failure in religious and political discourse , 2013 .

[13]  Michela Del Vicario,et al.  Viral Misinformation: The Role of Homophily and Polarization , 2014, WWW.

[14]  Lada A. Adamic,et al.  The Anatomy of Large Facebook Cascades , 2013, ICWSM.

[15]  R. Rich,et al.  Misinformation and the Currency of Democratic Citizenship , 2000, The Journal of Politics.

[16]  Guido Caldarelli,et al.  Homophily and polarization in the age of misinformation , 2016 .

[17]  P. Resnick,et al.  RumorLens: A System for Analyzing the Impact of Rumors and Corrections in Social Media , 2014 .

[18]  J. Stoner Risky and Cautious Shifts in Group Decisions: The Influence of Widely Held Values , 2015 .

[19]  Dragomir R. Radev,et al.  Rumor has it: Identifying Misinformation in Microblogs , 2011, EMNLP.

[20]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[21]  Eli Pariser,et al.  The Filter Bubble: What the Internet Is Hiding from You , 2011 .

[22]  S. Asch Opinions and Social Pressure , 1955, Nature.

[23]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[24]  P. Lazarsfeld,et al.  Personal Influence: The Part Played by People in the Flow of Mass Communications , 1956 .

[25]  John P. Moore The dangers of denying HIV , 2009, Nature.

[26]  B. Nyhan,et al.  When Corrections Fail: The Persistence of Political Misperceptions , 2010 .

[27]  Amal Abdullah AlMansour,et al.  A MODEL FOR RECALIBRATING CREDIBILITY IN DIFFERENT CONTEXTS AND LANGUAGES - A TWITTER CASE STUDY , 2014 .

[28]  Johan Bollen,et al.  Computational Fact Checking from Knowledge Networks , 2015, PloS one.

[29]  C. Sunstein Republic.com 2.0 , 2007 .

[30]  Jacob Ratkiewicz,et al.  Political Polarization on Twitter , 2011, ICWSM.

[31]  G. Caldarelli,et al.  The spreading of misinformation online , 2016, Proceedings of the National Academy of Sciences.

[32]  Lars Backstrom,et al.  Structural diversity in social contagion , 2012, Proceedings of the National Academy of Sciences.

[33]  Janet L. Yellen,et al.  An Analysis of Out-of-Wedlock Childbearing in the United States , 1996 .

[34]  J. Peto,et al.  Asymptotically Efficient Rank Invariant Test Procedures , 1972 .

[35]  Eytan Adar,et al.  Implicit Structure and the Dynamics of Blogspace , 2004 .

[36]  D. Kahan Social Influence, Social Meaning, and Deterrence , 1997 .

[37]  Lada A. Adamic,et al.  Exposure to ideologically diverse news and opinion on Facebook , 2015, Science.

[38]  Lada A. Adamic,et al.  The political blogosphere and the 2004 U.S. election: divided they blog , 2005, LinkKDD '05.

[39]  Ponnurangam Kumaraguru,et al.  TweetCred: Real-Time Credibility Assessment of Content on Twitter , 2014, SocInfo.

[40]  Damon Centola,et al.  The Spread of Behavior in an Online Social Network Experiment , 2010, Science.

[41]  P. Lazarsfeld,et al.  Personal Influence: The Part Played by People in the Flow of Mass Communications , 1956 .

[42]  Guido Caldarelli,et al.  Emotional Dynamics in the Age of Misinformation , 2015, PloS one.

[43]  A. Pentland,et al.  Life in the network: The coming age of computational social science: Science , 2009 .

[44]  P. Lazarsfeld,et al.  The People's Choice: How the Voter Makes Up His Mind in a Presidential Campaign , 1968 .

[45]  Wei Zhang,et al.  Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources , 2015, Proc. VLDB Endow..

[46]  C. Sunstein The Law of Group Polarization , 1999, How Change Happens.

[47]  Jure Leskovec,et al.  Can cascades be predicted? , 2014, WWW.

[48]  Jacob Ratkiewicz,et al.  Predicting the Political Alignment of Twitter Users , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.

[49]  Lawrence Lessig,et al.  Code and Other Laws of Cyberspace , 1999 .