To Tweet or to Retweet? That Is the Question for Health Professionals on Twitter

Guided by the MAIN model (Sundar, 2008), this study explored the effects of three interface cues conveying source attributes on credibility of health messages in Twitter: authority cue (whether a source is an expert or not), bandwagon cue (the number of followers that a source has—large vs. small), and source proximity cue (distance of messages from its original source—tweet vs. retweet). A significant three-way interaction effect on perceived credibility of health content was found, such that when a professional source with many followers tweets, participants tend to perceive the content to be more credible than when a layperson source with many followers tweets. For retweets, however, the exact opposite pattern was found. Results also show that for tweets, content credibility was significantly associated with the perceived expertise of proximal source, whereas for retweets, it was associated with the perceived trustworthiness of proximal source. Theoretical and practical implications are discussed.

[1]  Mahinda Kommalage,et al.  Use of websites for disseminating health information in developing countries: an experience from Sri Lanka , 2008, ICEGOV '08.

[2]  Ellen R. Tauber,et al.  Experts vs. Online Consumers: A Comparative Credibility Study of Health and Finance Web Sites , 2002 .

[3]  Alison A. Plessinger,et al.  Exploring Receivers' Criteria for Perception of Print and Online News , 1999 .

[4]  N. Anderson.  Integration theory and attitude change. , 1971 .

[5]  S. Shyam Sundar,et al.  Authority vs. peer: how interface cues influence users , 2009, CHI Extended Abstracts.

[6]  Franziska Marquart,et al.  Communication and persuasion : central and peripheral routes to attitude change , 1988 .

[7]  S. Shyam Sundar,et al.  News cues: Information scent and cognitive heuristics , 2007, J. Assoc. Inf. Sci. Technol..

[8]  S. Shyam Sundar,et al.  Using interface cues in online health community boards to change impressions and encourage user contribution , 2011, CHI.

[9]  L. Baker,et al.  Use of the Internet and e-mail for health care information: results from a national survey. , 2003, JAMA.

[10]  Mohan J. Dutta-Bergman,et al.  Trusted Online Sources of Health Information: Differences in Demographics, Health Beliefs, and Health-Information Orientation , 2003, Journal of medical Internet research.

[11]  Ling Liu,et al.  Do online reviews affect product sales? The role of reviewer characteristics and temporal effects , 2008, Inf. Technol. Manag..

[12]  R. W. Rogers,et al.  Effects of source expertness, physical attractiveness, and supporting arguments on persuasion: A case of brains over beauty. , 1980 .

[13]  Rosabeth Moss Kanter.  El ejecutivo medio como innovador , 2004 .

[14]  S. Shyam Sundar,et al.  Effects of Online Health Sources on Credibility and Behavioral Intentions , 2010, Commun. Res..

[15]  S. Chaiken,et al.  Dual-process theories in social psychology , 1999 .

[16]  M. Kommalage,et al.  The use of websites for disseminating health information in developing countries: an experience from Sri Lanka. , 2008, International journal of electronic healthcare.

[17]  Hanan Samet,et al.  TwitterStand: news in tweets , 2009, GIS.

[18]  B. Sternthal,et al.  Highly Credible Sources: Persuasive Facilitators or Persuasive Liabilities? , 1977 .

[19]  Roobina Ohanian.  Construction and Validation of a Scale to Measure Celebrity Endorsers' Perceived Expertise, Trustworthiness, and Attractiveness , 1990 .

[20]  Shelly Chaiken,et al.  The heuristic-systematic model in its broader context. , 1999 .

[21]  Matthew S. Eastin,et al.  Credibility Assessments of Online Health Information: The Effects of Source Expertise and Knowledge of Content , 2006, J. Comput. Mediat. Commun..

[22]  S. Chaiken,et al.  Heuristic processing can bias systematic processing: effects of source credibility, argument ambiguity, and task importance on attitude judgment. , 1994, Journal of personality and social psychology.

[23]  Eric Bonabeau,et al.  The perils of the imitation age. , 2004, Harvard business review.

[24]  H. Kassinove,et al.  Effect of Perceived Expertise, Strength of Advice, and Environmental Setting on Parental Compliance , 1973 .

[25]  A. A. Lumsdaine.  Communication and persuasion , 1954 .

[26]  David D. Kurpius,et al.  A Citizen-Eye View of Television News Source Credibility , 2010 .

[27]  J. Cacioppo,et al.  Attitudes and Persuasion: Classic and Contemporary Approaches , 1981 .

[28]  Brian G. Southwell,et al.  When (and Why) Interpersonal Talk Matters for Campaigns , 2009 .

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

[30]  Bernard J. Jansen,et al.  Twitter power: Tweets as electronic word of mouth , 2009, J. Assoc. Inf. Sci. Technol..

[31]  Marcel Salathé,et al.  Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control , 2011, PLoS Comput. Biol..

[32]  S. Sundar,et al.  Source Cues in Online News: Is the Proximate Source More Powerful than Distal Sources? , 2011 .

[33]  Ji Young Lee,et al.  Does source matter? Examining source effects in online product reviews , 2012, Comput. Hum. Behav..

[34]  Yi-Fen Chen,et al.  Herd behavior in purchasing books online , 2008, Comput. Hum. Behav..

[35]  K. Freeman,et al.  An Examination of Factors That Affect the Credibility of Online Health Information , 2004 .

[36]  S. Chaiken.  The heuristic model of persuasion. , 1987 .

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

[38]  C. Nass,et al.  Conceptualizing Sources in Online News , 2001 .

[39]  M. Birnbaum,et al.  Source Credibility in Social Judgment : Bias , Expertise , and the Judge ' s Point of View , 1979 .

[40]  P. Briggs,et al.  Trust in Online Advice , 2002 .

[41]  S. Chaiken.  Heuristic versus systematic information processing and the use of source versus message cues in persuasion. , 1980 .

[42]  S. Sundar.  The MAIN Model : A Heuristic Approach to Understanding Technology Effects on Credibility , 2007 .