Intentions to trust and share online health rumors: An experiment with medical professionals

Abstract With the rise of fake news and doctored narratives on the Internet, research on online rumors is growing. Previous works often dealt with either individuals' trust in rumors or their willingness to share. Juxtaposing both in the same study, the aim of this paper is to investigate medical professionals' intentions to trust and share online health rumors as a function of their personal involvement, the rumor type, and the presence of counter-rumors. Personal involvement refers to individuals’ perceived relevance of a rumor. Two common types of rumors include dread and wish. Counter-rumors are messages that debunk rumors. A within-participants experiment was conducted with 60 participants, divided evenly among doctors, nurses and medical students, each of whom was exposed to eight cancer-related rumors. Rumor type and the presence of counter-rumors were induced. Personal involvement, intention to trust, and intention to share were measured using a questionnaire. Results showed that personal involvement compelled intentions to trust and share. Dread rumors triggered intentions to trust and share more than did wish rumors. The presence of counter-rumors lowered intention to trust, but not intention to share. Moreover, rumor type moderated the relation between personal involvement and intentions to trust and share.

[1]  J. V. Bradley Complete Counterbalancing of Immediate Sequential Effects in a Latin Square Design , 1958 .

[2]  Terry Kind,et al.  Social media policies at US medical schools , 2010, Medical education online.

[3]  Dong-Hee Shin,et al.  The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption , 2010, Interact. Comput..

[4]  Carlos Flavián,et al.  Understanding the intention to follow the advice obtained in an online travel community , 2011, Comput. Hum. Behav..

[5]  Jeff Cain,et al.  Pharmacy students' Facebook activity and opinions regarding accountability and e-professionalism. , 2009, American journal of pharmaceutical education.

[6]  Fang Liu,et al.  Rumors on Social Media in disasters: Extending Transmission to Retransmission , 2014, PACIS.

[7]  David J. Atkin,et al.  Ethnicity, digital divides and uses of the Internet for health information , 2015, Comput. Hum. Behav..

[8]  Sahara Byrne,et al.  The Boomerang Effect A Synthesis of Findings and a Preliminary Theoretical Framework , 2009 .

[9]  Yijun Li,et al.  How users adopt healthcare information: An empirical study of an online Q&A community , 2016, Int. J. Medical Informatics.

[10]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[11]  Yao Song,et al.  An exploration of rumor combating behavior on social media in the context of social crises , 2016, Comput. Hum. Behav..

[12]  Alton Yeow-Kuan Chua,et al.  Does KFC sell rat? Analysis of tweets in the wake of a rumor outbreak , 2017, Aslib J. Inf. Manag..

[13]  Andrew J. Younge,et al.  Network Structure Moderates Intergroup Differentiation of Stereotyped Rumors , 2014 .

[14]  M. Orne On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications. , 1962 .

[15]  Laure Berti-Équille,et al.  VERA: A Platform for Veracity Estimation over Web Data , 2016, WWW.

[16]  Ralph L. Rosnow,et al.  Belief in rumor and likelihood of rumor transmission , 1986 .

[17]  Nicholas DiFonzo,et al.  The Watercooler Effect: A Psychologist Explores the Extraordinary Power of Rumors , 2008 .

[18]  Rick A. Myer,et al.  Human impact issues for crisis management in organizations , 2007 .

[19]  Dong-Hee Shin,et al.  User experience in social commerce: in friends we trust , 2013, Behav. Inf. Technol..

[20]  Jason Watson,et al.  Social media and physicians: Exploring the benefits and challenges , 2016, Health Informatics J..

[21]  Jeong Yeob Han,et al.  Unraveling Uses and Effects of an Interactive Health Communication System , 2009, Journal of broadcasting & electronic media.

[22]  Yan Zhang,et al.  The influence of individual differences on consumer's selection of online sources for health information , 2017, Comput. Hum. Behav..

[23]  Snehasish Banerjee,et al.  Intention to trust and share health-related online rumors: Studying the role of risk propensity , 2016, 2016 SAI Computing Conference (SAI).

[24]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[25]  Gregory E. Powell,et al.  Enabling social listening for cardiac safety monitoring: Proceedings from a drug information association–cardiac safety research consortium cosponsored think tank , 2017, American heart journal.

[26]  Dong-Hee Shin,et al.  How do credibility and utility play in the user experience of health informatics services? , 2017, Comput. Hum. Behav..

[27]  L. Postman,et al.  The psychology of rumor , 1947 .

[28]  M. Gentzkow,et al.  Social Media and Fake News in the 2016 Election , 2017 .

[29]  David Morin,et al.  Social media and flu: Media Twitter accounts as agenda setters , 2016, Int. J. Medical Informatics.

[30]  Hakim K. Said,et al.  Social media in plastic surgery practices: emerging trends in North America. , 2011, Aesthetic surgery journal.

[31]  Trisha T. C. Lin,et al.  Sociotechnical analysis of nurses' use of personal mobile phones at work , 2016, Int. J. Medical Informatics.

[32]  H. Raghav Rao,et al.  Community Intelligence and Social Media Services: A Rumor Theoretic Analysis of Tweets During Social Crises , 2013, MIS Q..

[33]  Narasimha Bolloju,et al.  Explaining the intentions to share and reuse knowledge in the context of IT service operations , 2005, J. Knowl. Manag..

[34]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[35]  Alberto Coustasse,et al.  Physicians, patients, and Facebook: Could you? Would you? Should you? , 2016, Health marketing quarterly.

[36]  Prashant Bordia,et al.  Corporate rumor activity, belief and accuracy , 2002 .

[37]  Prashant Bordia,et al.  Rumors Denials as Persuasive Messages: Effects of Personal Relevance, Source, and Message Characteristics , 2005 .

[38]  Hans-Jürgen Bucher,et al.  Crisis Communication and the Internet: Risk and Trust in a Global Media , 2002, First Monday.

[39]  T. Thompson Seventy-Five (Count 'Em—75!) Issues of Health Communication: An Analysis of Emerging Themes , 2006, Health communication.

[40]  J. Cacioppo,et al.  Relationship between attitudes and evaluative space: A critical review, with emphasis on the separability of positive and negative substrates. , 1994 .

[41]  Gül Seçkin,et al.  Cyber patients surfing the medical web: Computer-mediated medical knowledge and perceived benefits , 2010, Comput. Hum. Behav..

[42]  Hayne W. Reese Counterbalancing and Other Uses of Repeated-Measures Latin-Square Designs: Analyses and Interpretations , 1997 .

[43]  D. Snipelisky Social Media in Medicine: A Podium Without Boundaries. , 2015, Journal of the American College of Cardiology.

[44]  Michael A. Kamins,et al.  Consumer Responses to Rumors: Good News, Bad News , 1997 .

[45]  Huaye Li,et al.  Combating Rumor Spread on Social Media: The Effectiveness of Refutation and Warning , 2015, 2015 48th Hawaii International Conference on System Sciences.

[46]  G. Peeters,et al.  Positive-Negative Asymmetry in Evaluations: The Distinction Between Affective and Informational Negativity Effects , 1990 .

[47]  Peerayuth Charoensukmongkol,et al.  Contribution of Mindfulness to Individuals' Tendency to Believe and Share Social Media Content , 2016, Int. J. Technol. Hum. Interact..

[48]  Sonja Lyubomirsky,et al.  Happiness and thrift: When (spending) less is (hedonically) more , 2011 .

[49]  R. Kelly Garrett,et al.  Electoral Consequences of Political Rumors: Motivated Reasoning, Candidate Rumors, and Vote Choice during the 2008 U.S. Presidential Election , 2014 .

[50]  Sanghee Oh,et al.  The characteristics and motivations of health answerers for sharing information, knowledge, and experiences in online environments , 2012, J. Assoc. Inf. Sci. Technol..

[51]  P. Sol Hart,et al.  Boomerang Effects in Science Communication , 2012, Commun. Res..

[52]  Koen L. Vincken,et al.  Medical students' cognitive load in volumetric image interpretation: Insights from human-computer interaction and eye movements , 2016, Comput. Hum. Behav..

[53]  Stefan Stieglitz,et al.  Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior , 2013, J. Manag. Inf. Syst..

[54]  Kent Marett,et al.  The Decision to Share Information and Rumors: Examining the Role of Motivation in an Online Discussion Forum , 2009, Commun. Assoc. Inf. Syst..

[55]  Godfrey Pell,et al.  Web 2.0 and social software: the medical student way of e-learning , 2008, Medical teacher.

[56]  K. Vohs,et al.  Case Western Reserve University , 1990 .

[57]  Rajiv Sabherwal,et al.  Using tablets in medical consultations: Single loop and double loop learning processes , 2016, Comput. Hum. Behav..

[58]  Roni Reiter-Palmon,et al.  The Effects of Type and Level of Personal Involvement on Information Search and Problem Solving , 2004 .

[59]  D. Lie,et al.  “Being the Best We Can Be”: Medical Students’ Reflections on Physician Responsibility in the Social Media Era , 2013, Academic medicine : journal of the Association of American Medical Colleges.

[60]  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.

[61]  Zili Zhang,et al.  Predictors of the authenticity of Internet health rumours. , 2015, Health information and libraries journal.

[62]  Nicholas DiFonzo,et al.  Rumors About Cancer: Content, Sources, Coping, Transmission, and Belief , 2012, Journal of health communication.

[63]  S. Sohn,et al.  Privacy, professionalism and Facebook: a dilemma for young doctors , 2010, Medical education.

[64]  Robin S. Poston,et al.  I'm just burned out: Understanding information system compatibility with personal values and role-based stress in a nursing context , 2011, Comput. Hum. Behav..

[65]  T. Antonucci,et al.  Social networks and health among older adults in Lebanon: the mediating role of support and trust. , 2015, The journals of gerontology. Series B, Psychological sciences and social sciences.

[66]  R. L. Rosnow Inside rumor: A personal journey. , 1991 .