Understanding Rumor Combating Behavior on Social Media

References

• Van Bavel JJ, Baicker K, Boggio PS, Capraro V, Cichocka A, Cikara M, Crockett MJ, Crum AJ, Douglas KM, Druckman JN, et al. Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav. 2020;4(5):460–471.
   PubMed Web of Science ®Google Scholar
• Laato S, Islam AN, Islam MN, Whelan E. What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? Eur J Inf Syst. 2020;29(3):288–305. doi:10.1080/0960085X.2020.1770632.
   Web of Science ®Google Scholar
• Naidoo R. A multi-level influence model of COVID-19 themed cybercrime. Eur J Inf Syst. 2020;29(3):306–21. doi:10.1080/0960085X.2020.1771222.
   Web of Science ®Google Scholar
• Craven M, Liu L, Wilson M, Mysore M. COVID-19: implications for business. 2020 [assessed 2020 July 11]. https://www.mckinsey.com/business-functions/risk/our-insights/covid-19-implications-for-business.
   Google Scholar
• Zhao L, Yin J, Song Y. An exploration of rumor combating behavior on social media in the context of social crises. Comput Hum Behav. 2016;58:25–36. doi:10.1016/j.chb.2015.11.054.
   Web of Science ®Google Scholar
• Mondal T, Pramanik P, Bhattacharya I, Boral N, Ghosh S. Analysis and early detection of rumors in a post disaster scenario. Inf Syst Front. 2018;20(5):961–79. doi:10.1007/s10796-018-9837-8.
   Web of Science ®Google Scholar
• Oh O, Agrawal M, Rao HR. Community intelligence and social media services: a rumor theoretic analysis of tweets during social crises. MIS Q. 2013;37(2):407–26. doi:10.25300/MISQ/2013/37.2.05.
   Web of Science ®Google Scholar
• Oh O, Gupta P, Agrawal M, Rao HR. ICT mediated rumor beliefs and resulting user actions during a community crisis. Gov Inf Q. 2018;35(2):243–58. doi:10.1016/j.giq.2018.03.006.
   Web of Science ®Google Scholar
• Tang Z, Miller AS, Zhou Z, Warkentin M. Does government social media promote users’ information security behavior towards COVID-19 scams? Cultivation effects and protective motivations. Gov Inf Q. 2021;38(2):101572. doi:10.1016/j.giq.2021.101572.
   PubMed Web of Science ®Google Scholar
• Chen MJ, Su KH, Tsai W. Competitive tension: the awareness-motivation-capability perspective. Acad Manag Ann. 2017;50(1):101–18. doi:10.5465/amj.2007.24162081.
   Google Scholar
• Stadtler L, Lin H. Moving to the next strategy stage: examining firms’ awareness, motivation and capability drivers in environmental alliances. Bus Strategy Environ. 2017;26(6):709–30. doi:10.1002/bse.1937.
   Web of Science ®Google Scholar
• Chen X, Chen L, Wu D. Factors that influence employees’ security policy compliance: an awareness-motivation-capability perspective. J Comput Inf Syst. 2018;58(4):312–24. doi:10.1080/08874417.2016.1258679.
   Web of Science ®Google Scholar
• Lee J, Agrawal M, Rao HR. Message diffusion through social network service: the case of rumor and non-rumor related tweets during Boston bombing 2013. Inf Syst Front. 2015;17(5):997–1005. doi:10.1007/s10796-015-9568-z.
   Web of Science ®Google Scholar
• Chen MJ. Competitor analysis and interfirm rivalry: toward a theoretical integration. Acad Manag Rev. 1996;21(1):100–34. doi:10.5465/amr.1996.9602161567.
   Web of Science ®Google Scholar
• Shu C, Zhao M, Liu J, Lindsay W. Why firms go green and how green impacts financial and innovation performance differently: an awareness-motivation-capability perspective. Asia Pac J Manag. 2019;37(3):1–27.
   Web of Science ®Google Scholar
• Zhang M, Geng R, Huang Y, Ren S. Terminator or accelerator? Lessons from the peer-to-peer accommodation hosts in China in responses to COVID-19. Int J Hosp Manag 2021;92:102760. doi:10.1016/j.ijhm.2020.102760.
   PubMed Web of Science ®Google Scholar
• Anderson CL, Agarwal R. Practicing safe computing: a multimedia empirical examination of home computer user security behavioral intentions. MIS Q. 2010;34(3):613–43. doi:10.2307/25750694.
   Web of Science ®Google Scholar
• Rogers RW. A protection motivation theory of fear appeals and attitude change. J Psychol. 1975;91(1):93–114. doi:10.1080/00223980.1975.9915803.
   PubMed Web of Science ®Google Scholar
• Rogers RW. Cognitive and psychological processes in fear appeals and attitude change: a revised theory of protection motivation. Soc Psychophysiol. 1983;19(5):153–76.
   Google Scholar
• Johnston AC, Warkentin M. Fear appeals and information security behaviors: an empirical study. MIS Q. 2010;34(3):549–66. doi:10.2307/25750691.
   Web of Science ®Google Scholar
• Tu Z, Turel O, Yuan Y, Archer N. Learning to cope with information security risks regarding mobile device loss or theft: an empirical examination. Inf Manag J. 2015;52(4):506–17. doi:10.1016/j.im.2015.03.002.
   Web of Science ®Google Scholar
• Martens M, De Wolf R, De Marez L. Investigating and comparing the predictors of the intention towards taking security measures against malware, scams and cybercrime in general. Comput Human Behav. 2019;92:139–50. doi:10.1016/j.chb.2018.11.002.
   Web of Science ®Google Scholar
• Schwartz SH. Normative influences on altruism. Adv Exp Soc Psychol. 1977;10:221–79.
   Google Scholar
• Gao L, Wang S, Li J, Li H. Application of the extended theory of planned behavior to understand individual’s energy saving behavior in workplaces. Resour Conserv Recycl. 2017;127:107–13. doi:10.1016/j.resconrec.2017.08.030.
   Web of Science ®Google Scholar
• Tang Z, Warkentin M, Wu L. Understanding employees’ energy saving behavior from the perspective of stimulus-organism-responses. Resour Conserv Recycl. 2019;140:216–23. doi:10.1016/j.resconrec.2018.09.030.
   Web of Science ®Google Scholar
• Kankanhalli A, Tan BC, Wei KK. Contributing knowledge to electronic knowledge repositories: an empirical investigation. MIS Q. 2005;29(1):113–43. doi:10.2307/25148670.
   Web of Science ®Google Scholar
• Jin XL, Zhou Z, Lee MK, Cheung CM. Why users keep answering questions in online question answering communities: a theoretical and empirical investigation. Int J Inf Manag. 2013;33(1):93–104. doi:10.1016/j.ijinfomgt.2012.07.007.
   Web of Science ®Google Scholar
• Savary J, Goldsmith K. Unobserved altruism: how self-signaling motivations and social benefits shape willingness to donate. J Exp Psychol Appl. 2020. Advance online publication 10.1037/xap0000261
   PubMedGoogle Scholar
• Evans R, Ferguson E. Defining and measuring blood donor altruism: a theoretical approach from biology, economics and psychology. Vox Sang. 2014;106(2):118–26. doi:10.1111/vox.12080.
   PubMed Web of Science ®Google Scholar
• Lampel J, Bhalla A. The role of status seeking in online communities: giving the gift of experience. J Comput Mediat Commun. 2017;12(2):434–55. doi:10.1111/j.1083-6101.2007.00332.x.
   Google Scholar
• Lee CS, Ma L. News sharing in social media: the effect of gratifications and prior experience. Comput Human Behav. 2012;28(2):331–39. doi:10.1016/j.chb.2011.10.002.
   Web of Science ®Google Scholar
• Exley C. Incentives for prosocial behavior: the role of reputations. Manag Sci. 2018;64(5):2460–71. doi:10.1287/mnsc.2016.2685.
   Web of Science ®Google Scholar
• He W, Wei KK. What drives continued knowledge sharing? An investigation of knowledge-contribution and-seeking beliefs. Decis Support Syst. 2009;46(4):826–38. doi:10.1016/j.dss.2008.11.007.
   Web of Science ®Google Scholar
• Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, Li Y. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020;16(10):1745–1752.
   PubMed Web of Science ®Google Scholar
• Zhang Y, Wang Z, Zhou G. Antecedents of employee electricity saving behavior in organizations: an empirical study based on norm activation model. Energy Policy. 2013;62:1120–27. doi:10.1016/j.enpol.2013.07.036.
   Web of Science ®Google Scholar
• Tang Z, Chen L, Gillenson ML. How to keep brand fan page followers? The lens of person-environment fit theory. Inf Technol People. 2018;31(4):927–47. doi:10.1108/ITP-04-2016-0076.
   Web of Science ®Google Scholar
• Jin XL, Yin M, Zhou* Z, Yu X. The differential effects of trusting beliefs on social media users’ willingness to adopt and share health knowledge. Information Processing and Management. 2021;58(1):102413. doi:10.1016/j.ipm.2020.102413.
   Google Scholar
• Iqbal A. WeChat revenue and usage statistics. 2020 [accessed 2020 July 12]. https://www.businessofapps.com/data/wechat-statistics/#:~:text=WeChat counts over one billion,in terms of social media.
   Google Scholar
• Witte K. Predicting risk behaviors: development and validation of a diagnostic scale. J Health Commun. 1996;1(4):317–42. doi:10.1080/108107396127988.
   PubMedGoogle Scholar
• Anderson JC, Gerbing DW. Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull. 1988;103(3):411–23. doi:10.1037/0033-2909.103.3.411.
   Web of Science ®Google Scholar
• Jin XL, Zhou* Z, Tian Y. A configurational analysis of the causes of consumer indirect misbehaviors in access-based consumption. J Bus Ethics. Published online. doi:10.1007/s10551-020-04637–8.
   Google Scholar
• Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50. doi:10.1177/002224378101800104.
   Web of Science ®Google Scholar
• Guo Q, Sun P, Li L. Shyness and online prosocial behavior: a study on multiple mediation mechanisms. Comput Human Behav. 2018;86:1–8. doi:10.1016/j.chb.2018.04.032.
   Web of Science ®Google Scholar
• Latan H, Jabbour CJC, De Sousa Jabbour ABL. Social media as a form of virtual whistleblowing: empirical evidence for elements of the diamond model. J Bus Ethics. 2020:1–20. doi:10.1007/s10551-020-04598-y.
   Google Scholar
• Hofstede G. Culture and organizations. Int Stud Manag Organ. 1980;10(4):15–41. doi:10.1080/00208825.1980.11656300.
   Google Scholar
• Warkentin M, Johnston AC, Shropshire J, Barnett WD. Continuance of protective security behavior: a longitudinal study. Decis Support Syst. 2016;92:25–35. doi:10.1016/j.dss.2016.09.013.
   Web of Science ®Google Scholar