Social impacts in social media: An examination of perceived truthfulness and sharing of information

Social media display the combined opinion of users as collective opinion.We reveal the extent to which the crowd adopts collective opinion on social media.Collective opinion affected crowd's truthfulness rating of health information.Collective opinion affected crowd's decision to share health information.Social impacts took place for information perceived as true, debatable, and false. Twitter, Facebook, and other social media display the combined opinion of users as collective opinion. The purpose of the work reported here was to examine how collective opinion might influence the perceived truthfulness and the sharing likelihood of health-related statements on social media. Experiment 1 revealed that, when evaluating the truthfulness of a statement, participants adopted the collective truthfulness rating associated with the statement. Similarly, Experiment 2 showed that the likelihood that participants would share a statement followed the collective sharing likelihood associated with the statement. These social impacts were extensive, taking place for statements perceived as true, debatable, and false. These results contribute new insights into how people perceive and share information on social media as well as how collective opinion might affect the quality of information on social media.

[1]  JoongHo Ahn,et al.  Why Are You Sharing Others' Tweets?: The Impact of Argument Quality and Source Credibility on Information Sharing Behavior , 2011, ICIS.

[2]  Todd M. Gureckis,et al.  CUNY Academic , 2016 .

[3]  Michael D. Buhrmester,et al.  Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

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

[5]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[6]  Panagiotis G. Ipeirotis,et al.  Running Experiments on Amazon Mechanical Turk , 2010, Judgment and Decision Making.

[7]  H. Kelman Compliance, identification, and internalization three processes of attitude change , 1958 .

[8]  Yogesh V. Joshi,et al.  New Product Diffusion with Influentials and Imitators , 2007 .

[9]  Ullrich K. H. Ecker,et al.  Misinformation and Its Correction , 2012, Psychological science in the public interest : a journal of the American Psychological Society.

[10]  C. Heath,et al.  Where Consumers Diverge from Others: Identity Signaling and Product Domains , 2007 .

[11]  Tai-Kuei Yu,et al.  Exploring factors that influence knowledge sharing behavior via weblogs , 2010, Comput. Hum. Behav..

[12]  Matthew J. Salganik,et al.  Leading the Herd Astray: An Experimental Study of Self-fulfilling Prophecies in an Artificial Cultural Market , 2008, Social psychology quarterly.

[13]  Muzafer Sherif,et al.  A study of some social factors in perception. , 1935 .

[14]  Jeffrey V. Nickerson,et al.  2377 People Like this Article: The Influence of Others’ Decisions on Yours , 2009 .

[15]  Yasuaki Sakamoto,et al.  Toward a Social-Technological System that Inactivates False Rumors through the Critical Thinking of Crowds , 2013, 2013 46th Hawaii International Conference on System Sciences.

[16]  E. Porter Birth control discontinuance as a diffusion process. , 1984, Studies in family planning.

[17]  Yasuaki Sakamoto,et al.  The Impact of Collective Opinion on Online Judgment , 2010 .

[18]  Cameron Marlow,et al.  A 61-million-person experiment in social influence and political mobilization , 2012, Nature.

[19]  P. Bordia,et al.  Rumor Psychology: Social and Organizational Approaches , 2006 .

[20]  R. L. Rosnow Rumor and gossip in interpersonal interaction and beyond: A social exchange perspective. , 2001 .

[21]  Leonie Margaret Rutherford Industries, Artists, Friends and Fans: Marketing Young Adult Fictions Online , 2009, First Monday.

[22]  Huaye Li,et al.  The Influence of Collective Opinion on True-False Judgment and Information-Sharing Decision , 2013, CogSci.

[23]  Bin Gu,et al.  An investigation of information sharing and seeking behaviors in online investment communities , 2014, Comput. Hum. Behav..

[24]  B. Latané The psychology of social impact. , 1981 .

[25]  Kelly Tepper Tian,et al.  Consumers' Need for Uniqueness: Scale Development and Validation , 2001 .

[26]  Justin Cheng,et al.  Rumor Cascades , 2014, ICWSM.

[27]  Sinan Aral,et al.  Identifying Influential and Susceptible Members of Social Networks , 2012, Science.

[28]  Kyounghee Hazel Kwon,et al.  An Exploration of Social Media in Extreme Events: Rumor Theory and Twitter during the Haiti Earthquake 2010 , 2010, ICIS.

[29]  C. Heath,et al.  Do People Prefer to Pass Along Good or Bad News? Valence and Relevance of News as Predictors of Transmission Propensity , 1996, Organizational behavior and human decision processes.

[30]  Duncan J. Watts,et al.  Financial incentives and the "performance of crowds" , 2009, HCOMP '09.

[31]  Fang Wu,et al.  Social Networks that Matter: Twitter Under the Microscope , 2008, First Monday.

[32]  Yan Zhang,et al.  Designing Consumer Health Information Systems: What Do User-Generated Questions Tell Us? , 2011, HCI.

[33]  M. Deutsch,et al.  A study of normative and informational social influences upon individual judgement. , 1955, Journal of abnormal psychology.

[34]  Katherine L. Milkman,et al.  What Makes Online Content Viral? , 2012 .

[35]  Howard L. Fromkin,et al.  Uniqueness, the human pursuit of difference , 1980 .

[36]  Frank Schweitzer,et al.  Emotional Divergence Influences Information Spreading in Twitter , 2012, ICWSM.

[37]  R. H. Knapp,et al.  A PSYCHOLOGY OF RUMOR , 1944 .

[38]  Matthew J. Salganik,et al.  Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market , 2006, Science.

[39]  Kate Starbird,et al.  Rumors, False Flags, and Digital Vigilantes: Misinformation on Twitter after the 2013 Boston Marathon Bombing , 2014 .

[40]  Siddharth Suri,et al.  Conducting behavioral research on Amazon’s Mechanical Turk , 2010, Behavior research methods.

[41]  R. Burt The Social Capital of Opinion Leaders , 1999 .

[42]  Krishna P. Gummadi,et al.  Measuring User Influence in Twitter: The Million Follower Fallacy , 2010, ICWSM.

[43]  L. Festinger A Theory of Social Comparison Processes , 1954 .

[44]  Stephan Lewandowsky,et al.  Explicit warnings reduce but do not eliminate the continued influence of misinformation , 2010, Memory & cognition.

[45]  Xin Shuai,et al.  Multiple spreaders affect the indirect influence on twitter , 2012, WWW.

[46]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[47]  R. Catrambone,et al.  Proceedings of the 32nd Annual Conference of the Cognitive Science Society , 2010 .

[48]  Chip Heath,et al.  Evolving Informational Credentials: The (Mis)Attribution of Believable Facts to Credible Sources , 2004, Personality & social psychology bulletin.

[49]  R. H. Blake Authority and Mass Media as Variables in Rumor Transmission. , 1974 .

[50]  Barbara Poblete,et al.  Information credibility on twitter , 2011, WWW.

[51]  Noah J. Goldstein,et al.  Social influence: compliance and conformity. , 2004, Annual review of psychology.