When Health Information Meets Social Media: Exploring Virality on Sina Weibo

References

• Adams, S. A. (2010). Revisiting the online health information reliability debate in the wake of “web 2.0”: An inter-disciplinary literature and website review. International Journal of Medical Informatics, 79, 391–400. doi:10.1016/j.ijmedinf.2010.01.006
   PubMed Web of Science ®Google Scholar
• Alhabash, S., & McAlister, A. R. (2015). Redefining virality in less broad strokes: Predicting viral behavioral intentions from motivations and uses of Facebook and Twitter. New Media & Society, 17, 1317–1339. doi:10.1177/1461444814523726
   Web of Science ®Google Scholar
• Averbeck, J. M., Jones, A., & Robertson, K. (2011). Prior knowledge and health messages: An examination of affect as heuristics and information as systematic processing for fear appeals. Southern Communication Journal, 76, 35–54. doi:10.1080/10417940902951824
   Google Scholar
• Baker, S. M., & Petty, R. E. (1994). Majority and minority influence: Source-position imbalance as a determinant of message scrutiny. Journal of Personality and Social Psychology, 67, 5–19. doi:10.1037/0022-3514.67.1.5
   Web of Science ®Google Scholar
• Barbalet, J. M. (1998). Emotion, social theory, and social structure: A macrosociological approach. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Barnes, S. B. (2006). A privacy paradox: Social networking in the United States. First Monday, 11(9). Retrieved from http://firstmonday.org/issues/issue11_9/barnes/index.html
   Google Scholar
• Bonabeau, E. (2004). The perils of the imitation age. Harvard Business Review, 82(6), 45–54.
   PubMed Web of Science ®Google Scholar
• Boyd, D., Golder, S., & Lotan, D. (2010, January 6). Tweet, tweet, retweet: Conversational aspects of retweeting on Twitter (HICSS-43). Kauai, HI: IEEE.
   Google Scholar
• Castells, M. (1996). The rise of the network society. Malden, MA: Blackwell.
   Google Scholar
• Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39, 752–766. doi:10.1037/0022-3514.39.5.752
   Web of Science ®Google Scholar
• Chew, C., & Eysenbach, G. (2010). Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak. PLoS ONE, 5(11), e14118. doi:10.1371/journal.pone.0014118
   PubMed Web of Science ®Google Scholar
• Choi, Y. B., Capitan, K. E., Krause, J. S., & Streeper, M. M. (2006). Challenges associated with privacy in health care industry: Implementation of HIPAA and the security rules. Journal of Medical Systems, 30, 57–64. doi:10.1007/s10916-006-7405-0
   PubMedGoogle Scholar
• Chou, W. Y. S., Hunt, Y. M., Beckjord, E. B., Moser, R. P., & Hesse, B. W. (2009). Social media use in the United States: Implications for health communication. Journal of Medical Internet Research, 11(4), e48. doi:10.2196/jmir.1249
   PubMed Web of Science ®Google Scholar
• Cody, R., & Lee, C. (1990). Behaviors, beliefs, and intentions in skin cancer prevention. Journal of Behavioral Medicine, 13, 373–389. doi:10.1007/BF00844885
   PubMed Web of Science ®Google Scholar
• Eysenbach, G. (2008). Credibility of health information and digital media: New perspectives and implications for youth. In M. J. Metzger & A. J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 123–154). Cambridge, MA: MIT Press.
   Google Scholar
• Fritch, J. W., & Cromwell, R. L. (2001). Evaluating Internet resources: Identity, affiliation, and cognitive authority in a networked world. Journal of the American Society for Information Science and Technology, 52, 499–507. doi:10.1002/(ISSN)1532-2890
   Web of Science ®Google Scholar
• George, D. R. (2011). “Friending Facebook?” A minicourse on the use of social media by health professionals. Journal of Continuing Education in the Health Professions, 31, 215–219. doi:10.1002/chp.20129
   PubMed Web of Science ®Google Scholar
• Gorrell, G., & Bontcheva, K. (2014). Classifying Twitter favorites: Like, bookmark, or thanks? Journal of the Association for Information Science and Technology. doi:10.1002/asi.23352
   Web of Science ®Google Scholar
• Greene, K., & Brinn, L. S. (2003). Messages influencing college women’s tanning bed use: Statistical versus narrative evidence format and a self-assessment to increase perceived susceptibility. Journal of Health Communication, 8, 443–461. doi:10.1080/713852118
   PubMed Web of Science ®Google Scholar
• Greysen, S. R., Kind, T., & Chretien, K. C. (2010). Online professionalism and the mirror of social media. Journal of General Internal Medicine, 25, 1227–1229. doi:10.1007/s11606-010-1447-1
   PubMed Web of Science ®Google Scholar
• Guseh, J. S., Brendel, R. W., & Brendel, D. H. (2009). Medical professionalism in the age of online social networking. Journal of Medical Ethics, 35, 584–586. doi:10.1136/jme.2009.029231
   PubMed Web of Science ®Google Scholar
• Hansen, L., Arvidsson, A., Nielsen, F., Colleoni, E., & Etter, M. (2011). Good friends, bad news-affect and virality in Twitter. In J. J. Park, L. T. Yang, & C. Lee (Eds.), Future information technology (pp. 34–43). Berlin, Germany: Springer.
   Google Scholar
• Hastings, G., Stead, M., & Webb, J. (2004). Fear appeals in social marketing: Strategic and ethical reasons for concern. Psychology & Marketing, 21, 961–986. doi:10.1002/(ISSN)1520-6793
   Web of Science ®Google Scholar
• Jenders, M., Kasneci, G., & Naumann, F. (2013, May 13–17). Analyzing and predicting viral tweets. Proceedings WWW 2013 Companion, Rio de Janeiro, Brazil (pp. 657–664).
   Google Scholar
• Kline, S. L. (1987). Self-monitoring and attitude-behavior correspondence in cable television subscription. Journal of Social Psychology, 127, 605–609.
   Web of Science ®Google Scholar
• Kopfman, J. E., Smith, S. W., Yun, J. K. A., & Hodges, A. (1998). Affective and cognitive reactions to narrative versus statistical evidence organ donation messages. Journal of Applied Communication Research, 26, 279–300. doi:10.1080/00909889809365508
   Web of Science ®Google Scholar
• Lash, S. (2002). Critique of information. London, UK: Sage.
   Google Scholar
• Lee, J. Y., & Sundar, S. S. (2013). To tweet or to retweet? That is the question for health professionals on Twitter. Health Communication, 28, 509–524. doi:10.1080/10410236.2012.700391
   PubMed Web of Science ®Google Scholar
• Leshner, G., & Cheng, I. (2009). The effects of frame, appeal, and outcome extremity of antismoking messages on cognitive processing. Health Communication, 24, 219–227. doi:10.1080/10410230902804117
   PubMed Web of Science ®Google Scholar
• Levin, I. P., Wall, L. L., Dolezal, J. M., & Norman, K. L. (1972). Different weighting of positive and negative traits in impression formation as a function of prior exposure. Journal of Experimental Psychology, 97, 114–115. doi:10.1037/h0033846
   Google Scholar
• Lewis, I. M., Watson, B., Tay, R., & White, K. M. (2007). The role of fear appeals in improving driver safety: A review of the effectiveness of fear-arousing (threat) appeals in road safety advertising. International Journal of Behavioral and Consultation Therapy, 3, 203–222. doi:10.1037/h0100799
   Google Scholar
• Maher, C. A., Lewis, L. K., Ferrar, K., Marshall, S., De Bourdeaudhuij, I., & Vandelanotte, C. (2014). Are health behavior change interventions that use online social networks effective? A systematic review. Journal of Medical Internet Research, 16(2), e40. doi:10.2196/jmir.2952
   PubMed Web of Science ®Google Scholar
• Meier, F., Elsweiler, D., & Wilson, M. L. (2014, June 1–4). More than liking and bookmarking? Towards understanding Twitter favoriting behavior. Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, Ann Arbor, Michigan, USA (pp. 346–355). Palo Alto, CA: AAAI Press.
   Google Scholar
• Metaxas, P., Mustafaraj, E., Wong, K., Zeng, L., O’Keefe, M., & Finn, S. (2014, November). Do retweets indicate interest, trust, agreement? Computation and Journalism Symposium, New York, NY.
   Google Scholar
• Metzger, M. J., Flanagin, A. J., & Medders, R. (2010). Social and heuristic approaches to credibility evaluation online. Journal of Communication, 60, 413–439. doi:10.1111/jcom.2010.60.issue-3
   Web of Science ®Google Scholar
• Neiger, B. L., Thackeray, R., Burton, S. H., Thakeray, C. R., & Reese, J. H. (2013). Use of Twitter among local health departments: An analysis of information sharing, engagement, and action. Journal of Medical Internet Research, 15(8), e177. doi:10.2196/jmir.2775
   PubMed Web of Science ®Google Scholar
• O’Keefe, D., & Jensen, J. D. (2008). Do loss-framed persuasive messages engender greater message processing than do gain-framed messages? A meta-analytic review. Communication Studies, 59, 51–67. doi:10.1080/10510970701849388
   Google Scholar
• O’Keefe, D. J., & Jensen, J. D. (2007). The relative persuasiveness of gain-framed and loss-farmed messages for encouraging disease prevention behaviors: A meta-analytic review. Journal of Health Communication, 12, 623–644. doi:10.1080/10810730701615198
   PubMed Web of Science ®Google Scholar
• O’Keefe, D. J., & Jensen, J. D. (2009). The relative persuasiveness of gain-framed and loss-framed messages for encouraging disease detection behaviors: A meta-analytic review. Journal of Communication, 59, 296–316. doi:10.1111/j.1460-2466.2009.01417.x
   Web of Science ®Google Scholar
• Papacharissi, Z. (2010). A private sphere: Democracy in a digital age. Cambridge, MA: Polity.
   Google Scholar
• Parrott, R., Silk, K., Dorgan, K., Condit, C., & Harris, T. (2005). Risk comprehension and judgments of statistical evidentiary appeals when a picture is not worth a thousand words. Human Communication Research, 31, 423–452.
   Web of Science ®Google Scholar
• Recuero, R., Araújo, R. M., & Zago, G. (2011). How does social capital affect retweets? Proceedings of Fifth International AAAI Conference on Weblogs and Social Media (ICWSM), Barcelona, Spain (pp. 305–312). Palo Alto, CA: AAAI Press.
   Google Scholar
• Reinard, J. C. (1988). The empirical study of the persuasive effects of evidence: The status after fifty years of research. Human Communication Research, 15, 3–59. doi:10.1111/j.1468-2958.1988.tb00170.x
   Web of Science ®Google Scholar
• Reynolds, R. A., & Reynolds, J. L. (2002). Evidence. In J. E. Dillard & M. Pfau (Eds.), The persuasion handbook: Developments in theory and practice (pp. 513–542). Thousand Oaks, CA: Sage.
   Google Scholar
• Rothman, A. J., Bartels, R. D., Wlaschin, J., & Salovey, P. (2006). The strategic use of gain- and loss-framed messages to promote health behavior: How theory can inform practice. Journal of Communication, 56(S1), S202–S220. doi:10.1111/j.1460-2466.2006.00290.x
   Web of Science ®Google Scholar
• Salovey, P., & Williams-Piehota, P. (2004). Field experiments in social psychology: Message framing and the promotion of health protective behaviors. American Behavioral Scientist, 47, 488–505. doi:10.1177/0002764203259293
   Web of Science ®Google Scholar
• Smock, A. D., Ellison, N. B., Lampe, C., & Wohn, D. Y. (2011). Facebook as a toolkit: A U&G approach to unbundling feature use. Computers in Human Behavior, 27, 2322–2329. doi:10.1016/j.chb.2011.07.011
   Web of Science ®Google Scholar
• Starr, P. (1999). Health and the right to privacy. American Journal of Law & Medicine, 25, 193–201.
   PubMed Web of Science ®Google Scholar
• Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 72–100). Cambridge, MA: MIT Press.
   Google Scholar
• Thackeray, R., Neiger, B. L., Burton, S. H., & Thackeray, C. R. (2013). Analysis of the purpose of state health departments’ tweets: Information sharing, engagement, and action. Journal of Medical Internet Research, 15(11), e255. doi:10.2196/jmir.3002
   PubMed Web of Science ®Google Scholar
• Todorov, A., Chaiken, S., & Henderson, M. D. (2002). The heuristics-systematic model of socialinformation processing. In J. P. Dillard & M. Pfau (Eds.), Persuasion handbook: Advancements in theory and practice (pp. 195–213). London, UK: Sage.
   Google Scholar
• Trumbo, C. W. (2002). Information processing and risk perception: An adaptation of the heuristic-systematic model. Journal of Communication, 52, 367–382. doi:10.1111/jcom.2002.52.issue-2
   Web of Science ®Google Scholar
• Yu, G. (2011). Public opinion in the Chinese society: Annual report 2011. Beijing, China: People’s Daily Press.
   Google Scholar
• Zhang, L. (2016). Reflexive expectations in EU–China relations: A media analysis approach. Journal of Common Market Studies, 54, 463–479. doi:10.1111/jcms.12286
   Web of Science ®Google Scholar