Exploring factors influencing Chinese user's perceived credibility of health and safety information on Weibo

Computers in Human Behavior

Volumn 45, Issue , 2015, Pages 21-31

  Gao, Qin ^a   Tian, Ye ^a   Tu, Mengyuan ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Information credibility; Involvement; Microblog; Social media

Indexed keywords

HEALTH;

HEALTH AND SAFETY; INFORMATION CREDIBILITIES; INVOLVEMENT; MICRO-BLOG; PERSONAL NETWORKS; PRIOR KNOWLEDGE; SOCIAL MEDIA; USERS' PERCEPTION;

SOCIAL NETWORKING (ONLINE);

EID: 84921367700     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2014.11.071     Document Type: Article

References (58)

1. A.A. AlMansour, L. Brankovic, and C.S. Iliopoulos A model for recalibrating credibility in different contexts and languages - A twitter case study International Journal of Digital Information and Wireless Communication 4 1 2014 53 62
2. E.W. Austin, and Q. Dong Source v. Content effects on judgments of news believability Journalism and Mass Communication Quarterly 71 4 1994 973 983 Retrieved from Google Scholar
3. Castillo, C.; Mendoza, M.; Poblete, B. (2011). Information credibility on twitter. In WWW '11: Proceedings of the 20th international conference on world wide web (pp. 675-684). ACM. doi: http://dx.doi.org/10.1145/1963405.1963500.
4. D. Cohen Surrogate indicators and deception in advertising Journal of Marketing 36 3 1972 Retrieved from Google Scholar
5. G. Cvetkovich, M. Siegrist, R. Murray, and S. Tragesser New information and social trust: Asymmetry and perseverance of attributions about hazard managers Risk Analysis 22 2 2002 359 367 Retrieved from Google Scholar
6. W.K. Darley, and R.E. Smith Advertising claim objectivity: Antecedents and effects Journal of Marketing 57 4 1993 100 113 10.2307/1252222
7. Edelman, R. (2009). Edelman trust barometer 2009. Technical report, Edelman, January 2008. Retrieved from Google Scholar. < http://www.edelman.com/trust/2008/TrustBarometer08-FINAL.pdf >.
8. C. Edwards, P.R. Spence, C.J. Gentile, A. Edwards, and A. Edwards How much Klout do you have...a test of system generated cues on source credibility Computers in Human Behavior 29 5 2013 A12 A16 10.1016/j.chb.2012.12.034
9. G. Eysenbach, and C. Köhler How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews BMJ (Clinical Research Ed.) 324 7337 2002 573 577
10. A.J. Flanagin, and M.J. Metzger Perceptions of internet information credibility Journalism and Mass Communication Quarterly 77 3 2000 515 540 10.1177/107769900007700304
11. A.J. Flanagin, and M.J. Metzger Trusting expert- versus user-generated ratings online: The role of information volume, valence, and consumer characteristics Computers in Human Behavior 29 4 2013 1626 1634 10.1016/j.chb.2013.02.001
12. Fogg, B. J.; Soohoo, C.; Danielson, D. R.; Marable, L.; Stanford, J.; Tauber, E. R. (2003). How do users evaluate the credibility of web sites?: A study with over 2500 participants. In DUX '03: Proceedings of the 2003 conference on designing for user experiences (pp. 1-15). ACM. doi: http://dx.doi.org/10.1145/997078.997097.
13. G.T. Ford, D.B. Smith, and J.L. Swasy Consumer skepticism of advertising claims: Testing hypotheses from economics of information Journal of Consumer Research 1990 Retrieved from Google Scholar
14. M.E. Goldberg, and J. Hartwick The effects of advertiser reputation and extremity of advertising claim on advertising effectiveness Journal of Consumer Research 17 2 1990 172 179 10.2307/2626809
15. G. Guido The salience of marketing stimuli: An incongruity-salience hypothesis on consumer awareness 2001 Kluwer Academic Publishers Boston Retrieved from Google Books
16. C. Haas, and S.T. Wearden E-credibility: Building common ground in web environments L1-Educational Studies in Language and Literature 3 1-2 2003 169 184 10.1023/A:1024557422109
17. G.H. Hofstede, G.J. Hofstede, and M. Minkov Cultures and organizations: Software of the mind: Intercultural cooperation and its importance for survival 2010 McGraw-Hill New York
18. Jiang, J. H.; Goonawardene, N.; Tan, S. S. (2014). Do you find health advice on microblogging platforms credible? Role of self-efficacy and health threat in credibility assessment. In Pacific asia conference on information systems (PACIS) 2014 proceedings, Chengdu, China.
19. Jiang, J. H.; Tong, Y.; Tan, S. S. (2012). Do you retweet health advice on microblogging platforms? The effects of health topic and website design on credibility assessment. In Proceedings of the 33rd annual international conference on information systems (ICIS), orlando, USA. Retrieved from aisel.aisnet.org: http://aisel.aisnet.org/icis2012/proceedings/ResearchInProgress/97/.
20. R.E. Kasperson, O. Renn, P. Slovic, H.S. Brown, J. Emel, and R. Goble The social amplification of risk: A conceptual framework Risk Analysis 8 2 1988 177 187 10.1111/j.1539-6924.1988.tb01168.x
21. G. Koren, and N. Klein Bias against negative studies in newspaper reports of medical research JAMA 266 13 1991 1824 1826 10.1001/jama.1991.03470130104037
22. H.C. Kraemer, and S. Thiemann How many subjects?: Statistical power analysis in research 1987 Sage Publications Newbury Park
23. J. Lee, D.-H. Park, and I. Han The effect of negative online consumer reviews on product attitude: An information processing view Electronic Commerce Research and Applications 7 3 2008 341 352 10.1016/j.elerap.2007.05.004
24. Li, Y.; Gao, H.; Yang, M.; Guan, W.; Ma, H.; Qian, W.; Yang, X. (2013). What are Chinese talking about in hot Weibos. ArXiv Preprint ArXiv:1304.4682. Retrieved from Google Scholar.
25. C. Luo, J. Wu, Y. Shi, and Y. Xu The effects of individualism-collectivism cultural orientation on Ewom information International Journal of Information Management 34 4 2014 446 456 10.1016/j.ijinfomgt.2014.04.001
26. Mendoza, M.; Poblete, B.; Castillo, C. (2010). Twitter under crisis: Can we trust what we rt? In SOMA '10: Proceedings of the first workshop on social media analytics (pp. 71-79). doi: 10.1145/1964858.1964869.
27. M.J. Metzger Making sense of credibility on the web: Models for evaluating online information and recommendations for future research Journal of the American Society for Information Science and Technology 58 13 2007 2078 2091 http://onlinelibrary.wiley.com/doi/10.1002/asi.20672/full
28. M.J. Metzger, A.J. Flanagin, and R.B. Medders Social and heuristic approaches to credibility evaluation online Journal of Communication 60 3 2010 413 439 http://onlinelibrary.wiley.com/doi/10.1111/j.1460-2466.2010.01488.x/full
29. Morris, M. R.; Counts, S.; Roseway, A.; Hoff, A.; Schwarz, J. (2012). Tweeting is believing?: Understanding microblog credibility perceptions. In CSCW '12: Proceedings of the acm 2012 conference on computer supported cooperative work (pp. 441-450). ACM. doi: 10.1145/2145204.2145274.
30. R.E. Nisbett, K. Peng, I. Choi, and A. Norenzayan Culture and systems of thought: Holistic versus analytic cognition Psychological Review 108 2 2001 291 310
31. L. O'Grady Future directions for depicting credibility in health care web sites International Journal of Medical Informatics 75 1 2006 58 65 Retrieved from Google Scholar
32. R.E. Petty, J.T. Cacioppo, and D. Schumann Central and peripheral routes to advertising effectiveness: The moderating role of involvement Journal of Consumer Research 10 2 1983 135 Retrieved from Google Scholar
33. Pew Research Center's Journalism Project. (2012). State of the news media 2012. < http://stateofthemedia.org/files/2012/08/2012-sotm-annual-report.pdf >.
34. Princeton Survey Research Associates. (2012). A matter of trust: What users want from web sites. < http://consumersunion.org/wp-content/uploads/2013/05/a-matter-of-trust.pdf >.
35. S.Y. Rieh Judgment of information quality and cognitive authority in the web Journal of the American Society for Information Science and Technology 53 2 2002 145 161 Retrieved from Google Scholar
36. Rieh, S. Y.; Belkin, N. J. (1998). Understanding judgment of information quality and cognitive authority in the www. In Proceedings of the asis annual meeting (Vol. 35, pp. 279-89). Retrieved from Google Scholar.
37. M. Schmierbach, and A. Oeldorf-Hirsch A little bird told me, so i didn't believe it: Twitter, credibility, and issue perceptions Communication Quarterly 60 3 2012 317 337 10.1080/01463373.2012.688723
38. Schwarz, J.; Morris, M. (2011). Augmenting web pages and search results to support credibility assessment. In Proceedings of the Sigchi conference on human factors in computing systems (pp. 1245-1254). < http://dl.acm.org/citation.cfm?id=1979127 >.
39. Shan, C. (2013). The sources young people trust: The credibility ratings of sources of national political news in china. Master thesis, Iowa State University. < http://lib.dr.iastate.edu/etd/1308 >.
40. T.A. Shimp, and W.O. Bearden Warranty and other extrinsic cue effects on consumers' risk perceptions Journal of Consumer Research 1982 Retrieved from Google Scholar
41. M. Siegrist, and G. Cvetkovich Perception of hazards: The role of social trust and knowledge Risk Analysis 20 5 2000 713 720 10.1111/0272-4332.205064
42. P.R. Spence, K.A. Lachlan, S.A. Spates, and X. Lin Intercultural differences in responses to health messages on social media from spokespeople with varying levels of ethnic identity Computers in Human Behavior 29 3 2013 1255 1259 10.1016/j.chb.2012.12.013
43. K.M. Stanney, and G. Salvendy Effects of diversity in cognitive restructuring skills on human-computer performance Ergonomics 37 4 1994 595 609 10.1080/0014013940896367
44. S.S. Sundar The main model: A heuristic approach to understanding technology effects on credibility Digital Media, Youth, and Credibility 2008 73 100 http://mitpress2.mit.edu/books/chapters/0262294230chap4.pdf
45. S.S. Sundar, and C. Nass Conceptualizing sources in online news Journal of Communication 51 1 2001 52 72 Retrieved from Google Scholar
46. S.J. Tan Can consumers' scepticism be mitigated by claim objectivity and claim extremity? Journal of Marketing Communications 8 1 2011 45 64 10.1080/13527260210122097
47. Tang, X. J.; Wu, X. X.; Huang, C. X.; Liu, R. S. (2013). Report of new media development in china 2013. China Academy of Social Science. New Media Bluebook.
48. S.E. Taylor Asymmetrical effects of positive and negative events: The mobilization-minimization hypothesis Psychological Bulletin 110 1 1991 67 Retrieved from Google Scholar
49. M. Toncar, and J. Munch Consumer responses to tropes in print advertising Journal of Advertising 30 1 2001 55 65 Retrieved from Google Scholar
50. S.T. Tong, B. Van Der Heide, L. Langwell, and J.B. Walther Too much of a good thing? The relationship between number of friends and interpersonal impressions on Facebook Journal of Computer-Mediated Communication 13 3 2008 531 549 Retrieved from Google Scholar
51. C.N. Wathen, and J. Burkell Believe it or not: Factors influencing credibility on the web Journal of the American Society for Information Science and Technology 53 2 2002 134 144 Retrieved from Google Scholar
52. J.B. Walther, and M.R. Parks Cues filtered out, cues filtered in: Computer-mediated communication and relationships Handbook of Interpersonal Communication 3 2002 529 563
53. D. Westerman, P.R. Spence, and B. Van Der Heide A social network as information: The effect of system generated reports of connectedness on credibility on twitter Computers in Human Behavior 28 1 2012 199 206 10.1016/j.chb.2011.09.001
54. Yang. (2013). A comparative study of American and Chinese college students' social trust, conspiracy beliefs, and attitudes toward genetically modified crops. Master thesis, Iowa State University.
55. Yang, J.; Counts, S.; Morris, M. R.; Hoff, A. (2013). Microblog credibility perceptions: Comparing the USA and china. In Proceedings of the 2013 conference on computer supported cooperative work (pp. 575-586). < http://dl.acm.org/citation.cfm?id=2441841 >.
56. Yin, X. J.; Wu, X. X.; Liu, C. X. (2012). Report of new media development in china 2012. China Academy of Social Science. New Media Bluebook.
57. J.L. Zaichkowsky Measuring the involvement construct Journal of Consumer Research 12 3 1985 341 Retrieved from Google Scholar
58. Zhao, M. Y.; Lin, J. Y.; Liu, Y. Y.; Yang, L. Z. (2013). The effects of Weibo use on political trust and social trust among college students in mainland china. Paper presented on IAMCR 2013 Conference Dublin, June 25-29.