Social media metrics: Third-person perceptions of health information

Abstract The present study investigated the role of social media metrics (i.e., number of shares and comments) displayed alongside online news stories in shaping users’ perceptions of the content and its influence. In a web-based experiment ( N  = 144), participants first read a cancer news story that displayed either a high or a low level of social media metrics, then reported their perceived story influence on the self and others, as well as their behavioral intentions. In the low social media metrics condition, the general story influence was perceived to be stronger for others than for the self, indicative of the “third-person effect.” This effect, however, was diminished to insignificant levels in the high social media metrics condition. Further, social media metrics had an ultimate indirect effect on behavioral intentions via the third-person effect. Theoretical and practical implications of these findings are provided in the end.

[1]  Eun-Ju Lee,et al.  When do consumers buy online product reviews? Effects of review quality, product type, and reviewer's photo , 2014, Comput. Hum. Behav..

[2]  William P. Eveland,et al.  Behind the Third-Person Effect: Differentiating Perceptual Processes for Self and Other , 2001 .

[3]  Patrick C. Meirick.  Self-Enhancement Motivation as a Third Variable in the Relationship Between First- and Third-Person Effects , 2005 .

[4]  Albert C. Gunther,et al.  What We Think Others Think , 1991 .

[5]  David H Tewksbury,et al.  Preparations for Y2K: Revisiting the Behavioral Component of the Third‐Person Effect , 2004 .

[6]  Benjamin Schüz,et al.  Beyond behavioural intentions: planning mediates between intentions and physical activity. , 2008, British journal of health psychology.

[7]  Albert C. Gunther,et al.  Biased Optimism and the Third-Person Effect , 1993 .

[8]  Carl A. Kallgren,et al.  A Focus Theory of Normative Conduct: A Theoretical Refinement and Reevaluation of the Role of Norms in Human Behavior , 1991 .

[9]  Esther Thorson,et al.  Perceived Persuasive Effects of Product Commercials and Public Service Announcements , 1992 .

[10]  Mike Schmierbach,et al.  The Role of Exemplification in Shaping Third-Person Perceptions and Support for Restrictions on Video Games , 2012 .

[11]  Richard M. Perloff,et al.  MASS MEDIA, SOCIAL PERCEPTION, AND THE THIRD-PERSON EFFECT , 2009 .

[12]  W. Davison.  The Third-Person Effect in Communication , 1983 .

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

[14]  P. Salkovskis,et al.  The Health Anxiety Inventory: development and validation of scales for the measurement of health anxiety and hypochondriasis , 2002, Psychological Medicine.

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

[16]  Dhavan V. Shah,et al.  FOR THE GOOD OF OTHERS: CENSORSHIP AND THE THIRD-PERSON EFFECT , 1996 .

[17]  Diana C. Mutz,et al.  PERCEIVED IMPACT OF DEFAMATION AN EXPERIMENT ON THIRD-PERSON EFFECTS , 1988 .

[18]  Michel Dupagne,et al.  The Third-Person Effect , 1999 .

[19]  Hung-Yi Lu,et al.  Third-Person Effects of Health News , 2008 .

[20]  Cynthia A. Hoffner,et al.  Support for Censorship of Television Violence , 1999 .

[21]  Douglas M. McLeod,et al.  Exploring third-person differences between gamers and nongamers. , 2011 .

[22]  William P. Eveland,et al.  Support for Censorship of Violent and Misogynic Rap Lyrics , 1997 .

[23]  Stella C. Chia.  Third-person Perceptions about Idealized Body Image and Weight-loss Behavior , 2007 .

[24]  J. Bryant,et al.  Media effects : advances in theory and research , 2002 .

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

[26]  Kristopher J Preacher,et al.  SPSS and SAS procedures for estimating indirect effects in simple mediation models , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[27]  Todd G. Shields,et al.  The Vanishing Marginals, the Bandwagon, and the Mass Media , 1994, The Journal of Politics.

[28]  S. West,et al.  A comparison of methods to test mediation and other intervening variable effects. , 2002, Psychological methods.

[29]  Derek L. Hansen,et al.  Impact of Popularity Indications on Readers' Selective Exposure to Online News , 2005 .

[30]  N. Weinstein.  Unrealistic optimism about future life events , 1980 .

[31]  William P. Eveland,et al.  Rethinking the Social Distance Corollary , 1999 .

[32]  Eun-Ju Lee,et al.  That's Not the Way It Is: How User-Generated Comments on the News Affect Perceived Media Bias , 2012, J. Comput. Mediat. Commun..

[33]  Brandon Van Der Heide,et al.  A social network as information: The effect of system generated reports of connectedness on credibility on Twitter , 2012, Comput. Hum. Behav..

[34]  K. Hogan.  The psychology of persuasion , 1996 .

[35]  B. Paul,et al.  The Third-Person Effect: A Meta-Analysis of the Perceptual Hypothesis , 2000 .

[36]  Jae-Shin Lee,et al.  Optimistic bias about online privacy risks: Testing the moderating effects of perceived controllability and prior experience , 2010, Comput. Hum. Behav..

[37]  Qian Xu,et al.  The bandwagon effect of collaborative filtering technology , 2008, CHI Extended Abstracts.

[38]  Michael A. Hogg,et al.  A Self‐Categorization Explanation for the Third‐Person Effect , 2005 .

[39]  A. Gunther,et al.  The Influence of Presumed Influence , 2003 .

[40]  L. Erwin Atwood,et al.  Illusions of Media Power: The Third-Person Effect , 1994 .

[41]  Brandon Van Der Heide,et al.  The effects of product photographs and reputation systems on consumer behavior and product cost on eBay , 2013, Comput. Hum. Behav..

[42]  R. Rimal,et al.  A Uniqueness to Personal Threat (UPT) Hypothesis: How Similarity Affects Perceptions of Susceptibility and Severity in Risk Assessment , 2006, Health communication.

[43]  Ye Sun,et al.  On the Behavioral Component of the Third-Person Effect , 2008, Commun. Res..

[44]  Dominique Brossard,et al.  The "Nasty Effect: " Online Incivility and Risk Perceptions of Emerging Technologies , 2014, J. Comput. Mediat. Commun..