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Articles

Strategies and effectiveness of the Chinese government debunking COVID-19 rumors on Sina Weibo: evaluating from emotions

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Pages 632-654 | Received 28 Apr 2021, Accepted 21 Sep 2022, Published online: 17 Nov 2022

References

  • Ali, I. (2020). The COVID-19 pandemic: Making sense of rumor and fear. Medical Anthropology, 39(5), 376–379. https://doi.org/10.1080/01459740.2020.1745481
  • Alkhodair, S. A., Ding, S. H. H., Fung, B. C. M., & Liu, J. (2020). Detecting breaking news rumors of emerging topics in social media. Information Processing & Management, 57(2), Article 102018. https://doi.org/10.1016/j.ipm.2019.02.016
  • Al Lily, A. E., Elayyan, S. R., Alhazmi, A. A., & Alzahrani, S. (2018). Understanding the public temper through an evaluation of rumours: An ethnographical method using educational technology. Palgrave Communications, 4(1), 141. https://doi.org/10.1057/s41599-018-0197-2
  • Anwar Hridoy, S. A., Ekram, M. T., Islam, M. S., Ahmed, F., & Rahman, R. M. (2015). Localized Twitter opinion mining using sentiment analysis. Decision Analytics, 2(1), 8. https://doi.org/10.1186/s40165-015-0016-4
  • Arora, S. (2022). Post-disaster communities on social media: Citizen participation in crisis communication after the Nepal earthquake, 2015. Journal of Applied Communication Research, 50(1), 1–18. https://doi.org/10.1080/00909882.2021.1964572
  • Chen, J., Liu, Y., & Deng, S. (2018). An analysis on factors influencing the dissemination effect of rumor-refuting information. Information Science, 36(1), 91–95 + 117 [in Chinese]. https://doi.org/10.13833/j.issn.1007-7634.2018.01.016
  • Chen, S., Xiao, L., & Mao, J. (2021). Persuasion strategies of misinformation-containing posts in the social media. Information Processing & Management, 58(5), Article 102665. https://doi.org/10.1016/j.ipm.2021.102665
  • Cheng, J., Mitomo, H., Kamplean, A., & Seo, Y. (2021). Lesser evil? Public opinion on regulating fake news in Japan, South Korea, and Thailand – a three-country comparison. Telecommunications Policy, 45(9), Article 102185. https://doi.org/10.1016/j.telpol.2021.102185
  • China CDC. (2020). Don't believe these 5 rumors about Wuhan viral pneumonia. http://www.chinacdc.cn/yyrdgz/202001/t20200118_211265.html
  • Deng, Z., Meng, Q., Huang, Z., Kang, Z., & Liu, X. (2020). Harmonic resonance: Research on public opinion guidance and collaboration of government microblog about COVID-19. Information Science, 38(8), 79–87 [in Chinese]. https://doi.org/10.13833/j.issn.1007-7634.2020.08.013
  • DiFonzo, N., & Bordia, P. (2007). Rumor psychology: Social and organizational approaches. American Psychological Association. https://doi.org/10.1037/11503-000
  • Dirks, K. T., & Ferrin, D. L. (2001). The role of trust in organizational settings. Organization Science, 12(4), 450–467. https://doi.org/10.1287/orsc.12.4.450.10640
  • Dong, W., Tao, J., Xia, X., Ye, L., Xu, H., Jiang, P., & Liu, Y. (2020). Public emotions and rumors spread during the COVID-19 epidemic in China: Web-based correlation study. Journal of Medical Internet Research, 22(11), e21933. https://doi.org/10.2196/21933
  • Dunlap, W. P., Brody, C. J., & Greer, T. (2000). Canonical correlation and chi-square: Relationships and interpretation. The Journal of General Psychology, 127(4), 341–353. https://doi.org/10.1080/00221300009598588
  • Eysenbach, G. (2020). How to fight an infodemic: The four pillars of infodemic management. Journal of Medical Internet Research, 22(6), e21820. https://doi.org/10.2196/21820
  • Faye, C. (2007). Governing the grapevine: The study of rumor during World War II. History of Psychology, 10(1), 1–21. https://doi.org/10.1037/1093-4510.10.1.1
  • Frijda, N. H., Kuipers, P., & ter Schure, E. (1989). Relations among emotion, appraisal, and emotional action readiness. Journal of Personality and Social Psychology, 57(2), 212–228. https://doi.org/10.1037/0022-3514.57.2.212
  • Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1993). Emotional contagion. Current Directions in Psychological Science, 2(3), 96–100. https://doi.org/10.1111/1467-8721.ep10770953
  • He, G. (2009). Thesaurus of modern Chinese. Shanghai Lexicographical Publishing House [in Chinese].
  • He, X. (2012). Multivariate statistical analysis (3rd ed.). Renmin University Press.
  • Hu, Y., Liu, X., & Hu, Z. (2019). Research on the discourse strategy of refuting rumors in the new media of government affairs. Chinese Journalist, (6), 61–64 [in Chinese].
  • Hunt, K., Wang, B., & Zhuang, J. (2020). Misinformation debunking and cross-platform information sharing through twitter during hurricanes Harvey and Irma: A case study on shelters and ID checks. Natural Hazards, 103(1), 861–883. https://doi.org/10.1007/s11069-020-04016-6
  • Huo, L., Huang, P., & Fang, X. (2011). An interplay model for authorities’ actions and rumor spreading in emergency event. Physica A: Statistical Mechanics and Its Applications, 390(20), 3267–3274. https://doi.org/10.1016/j.physa.2011.05.008
  • Islam, M. S., Sarkar, T., Khan, S. H., Mostofa Kamal, A. H., Hasan, S. M. M., Kabir, A., Yeasmin, D., Islam, M. A., Amin Chowdhury, K. I., Anwar, K. S., Chughtai, A. A., & Seale, H. (2020). COVID-19-related infodemic and its impact on public health: A global social media analysis. The American Journal of Tropical Medicine and Hygiene, 103(4), 1621–1629. https://doi.org/10.4269/ajtmh.20-0812
  • Kakar, S. (2005). Rumors and religious riots. In G. A. Fine, V. Campion-Vincent, & C. Heath (Eds.), Rumor mills: The social impact of rumor and legend (pp. 53–60). Taylor & Francis.
  • Katz, J. E., & Crocker, E. T. (2015). Selfies| selfies and photo messaging as visual conversation: Reports from the United States, United Kingdom and China. International Journal of Communication, 9(12), 1861–1872.
  • Kwon, K. H., Bang, C. C., Egnoto, M., & Raghav Rao, H. (2016). Social media rumors as improvised public opinion: Semantic network analyses of twitter discourses during Korean saber rattling 2013. Asian Journal of Communication, 26(3), 201–222. https://doi.org/10.1080/01292986.2015.1130157
  • Lazarus, R. S., & Smith, C. A. (1988). Knowledge and appraisal in the cognition – emotion relationship. Cognition and Emotion, 2(4), 281–300. https://doi.org/10.1080/02699938808412701
  • Li, Q., Chen, T., Yang, J., & Cong, G. (2020). Based on computational communication paradigm: Simulation of public opinion communication process of panic buying during the COVID-19 pandemic. Psychology Research and Behavior Management, 13, 1027–1045. https://doi.org/10.2147/PRBM.S280825
  • Li, Y., & Xie, Y. (2019). Is a picture worth a thousand words? An empirical study of image content and social media engagement. Journal of Marketing Research, 57(1), 1–19. https://doi.org/10.1177/0022243719881113
  • Li, Z., Zhang, Q., Du, X., Ma, Y., & Wang, S. (2021). Social media rumor refutation effectiveness: Evaluation, modelling and enhancement. Information Processing & Management, 58(1), Article 102420. https://doi.org/10.1016/j.ipm.2020.102420
  • Liang, Q., Wang, W., Mu, J., Liu, X., Na, Z., & Chen, B. (Eds.). (2020). Artificial intelligence in China: Proceedings of the international conference on artificial intelligence in China (1st ed.). http://lib.ugent.be/catalog/ebk01:4100000010121890
  • Lim, J. S. (2019). The effectiveness of refutation with logic vs. indignation in restoring the credibility of and trust in a government organization: A heuristic-systematic model of crisis communication processing. Journal of Contingencies and Crisis Management, 27(2), 157–167. https://doi.org/10.1111/1468-5973.12247
  • Liu, Z. (2017). Two-sided messages’ effects on refuting rumors and the moderator of refuter's credibility. Journalism & Communication, 24(11), 49–63 + 127 [in Chinese].
  • Ma, N., & Liu, Y. (2020). Comparative research on the comprehensive influence of rumor information and refute rumor information in Weibo. Information and Documentation Services, 41(3), 41–48. https://doi.org/10.12154/j.qbzlgz.2020.03.007
  • Na, K., Garrett, R. K., & Slater, M. D. (2018). Rumor acceptance during public health crises: Testing the emotional congruence hypothesis. Journal of Health Communication, 23(8), 791–799. https://doi.org/10.1080/10810730.2018.1527877
  • Nyhan, B., & Reifler, J. (2012). Misinformation and fact-checking: Research findings from social science. New America Foundation.
  • Ozturk, P., Li, H., & Sakamoto, Y. (2015). Combating rumor spread on social media: The effectiveness of refutation and warning. In 2015 48th Hawaii International Conference on System Sciences (pp. 2406–2414). https://doi.org/10.1109/HICSS.2015.288
  • Paek, H., & Hove, T. (2019). Mediating and moderating roles of trust in government in effective risk rumor management: A test case of radiation-contaminated seafood in South Korea. Risk Analysis, 39(12), 2653–2667. https://doi.org/10.1111/risa.13377
  • Pan, X., Ojcius, D. M., Gao, T., Li, Z., Pan, C., & Pan, C. (2020). Lessons learned from the 2019-nCoV epidemic on prevention of future infectious diseases. Microbes and Infection, 22(2), 86–91. https://doi.org/10.1016/j.micinf.2020.02.004
  • Pattison, A. B., Reinfelde, M., Chang, H., Chowdhury, M., Cohen, E., Malahy, S., O’Connor, K., Sellami, M., Smith, K. L., & Stanton, C. Y. (2022). Finding the facts in an infodemic: Framing effective COVID-19 messages to connect people to authoritative content. BMJ Global Health, 7(2), e007582. https://doi.org/10.1136/bmjgh-2021-007582
  • People's Daily Online & Sina Weibo. (2020). Governmental Weibo influence report for the first quarter of 2020. http://yuqing.people.com.cn/n1/2020/0603/c209043-31733889.html
  • Pröllochs, N., Bär, D., & Feuerriegel, S. (2021). Emotions explain differences in the diffusion of true vs. false social media rumors. Scientific Reports, 11(1), 22721. https://doi.org/10.1038/s41598-021-01813-2
  • Qiang, Y., & Sun, Z. (2020). On the rumors-debunking effect of government microblog. Journalism Research, 10, 1–15 + 118 [in Chinese].
  • Rosnow, R. L. (1988). Rumor as communication: A contextualist approach. Journal of Communication, 38(1), 12–28. https://doi.org/10.1111/j.1460-2466.1988.tb02033.x
  • Rosnow, R. L. (1991). Inside rumor: A personal journey. American Psychologist, 46(5), 484–496. https://doi.org/10.1037/0003-066X.46.5.484
  • Shibutani, T. (1966). Improvised news: A sociological study of rumor. The Bobbs-Merrill Company.
  • Spialek, M. L., & Houston, J. B. (2019). The influence of citizen disaster communication on perceptions of neighborhood belonging and community resilience. Journal of Applied Communication Research, 47(1), 1–23. https://doi.org/10.1080/00909882.2018.1544718
  • Stieglitz, S., & Dang-Xuan, L. (2013). Emotions and information diffusion in social media – sentiment of microblogs and sharing behavior. Journal of Management Information Systems, 29(4), 217–248. https://doi.org/10.2753/MIS0742-1222290408
  • Strekalova, Y. A., & Krieger, J. L. (2017). A picture really is worth a thousand words: Public engagement with the national cancer institute on social media. Journal of Cancer Education, 32(1), 155–157. https://doi.org/10.1007/s13187-015-0901-5
  • Sui, Y., & Li, Y. (2020). On the role of the internet language in the social communication of individual emotions. Chinese Journal of Journalism & Communication, 42(1), 79–98 [in Chinese]. https://doi.org/10.13495/j.cnki.cjjc.2020.01.005.
  • Tang, M., & Wang, J. (2015). A research on rumors-refuting effects of government micro-blog in emergencies: Based on the case study of Shanghai bund stampede incident. Journal of Intelligence, 34(8), 98–103 + 136 [in Chinese].
  • Tangcharoensathien, V., Calleja, N., Nguyen, T., Purnat, T., D’Agostino, M., Garcia-Saiso, S., Landry, M., Rashidian, A., Hamilton, C., AbdAllah, A., Ghiga, I., Hill, A., Hougendobler, D., van Andel, J., Nunn, M., Brooks, I., Sacco, P. L., De Domenico, M., Mai, P., … Briand, S. (2020). Framework for managing the COVID-19 infodemic: Methods and results of an online, crowdsourced WHO technical consultation. Journal of Medical Internet Research, 22(6), e19659. https://doi.org/10.2196/19659
  • Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors and misinformation on COVID-19 in social media. Journal of Preventive Medicine and Public Health, 53(3), 171–174. https://doi.org/10.3961/jpmph.20.094
  • Trevino, L. K., Lengel, R. H., & Daft, R. L. (1987). Media symbolism, media richness, and media choice in organizations: A symbolic interactionist perspective. Communication Research, 14(5), 553–574. https://doi.org/10.1177/009365087014005006
  • Walker, C. J., & Blaine, B. (1991). The virulence of dread rumors: A field experiment. Language & Communication, 11(4), 291–297. https://doi.org/10.1016/0271-5309(91)90033-R
  • Wang, N., & Chen, H. (2014). Investigation and analysis of the harms and reasons of information overload in ubiquitous network. Information Studies: Theory & Application, 37(11), 20–25 [in Chinese]. https://doi.org/10.16353/j.cnki.1000-7490.2014.11.010
  • Wang, P., Shi, H., Wu, X., & Jiao, L. (2021). Sentiment analysis of rumor spread amid COVID-19: Based on Weibo text. Healthcare, 9(10), 1275. https://doi.org/10.3390/healthcare9101275
  • Wang, X., Zhang, L., Lin, Y., Zhao, Y., & Hu, X. (2016). Computational models and optimal control strategies for emotion contagion in the human population in emergencies. Knowledge-Based Systems, 109, 35–47. https://doi.org/10.1016/j.knosys.2016.06.022
  • Wang, Z., & Guo, Y. (2020). Rumor events detection enhanced by encoding sentimental information into time series division and word representations. Neurocomputing, 397, 224–243. https://doi.org/10.1016/j.neucom.2020.01.095
  • Weinberg, S. B., Weiman, L., Mond, C. J., Thon, L. J., Haegel, R., Regan, E. A., Kuehn, B., & Shorr, M. B. (1980). Anatomy of a rumor: A field study of rumor dissemination in a university setting. Journal of Applied Communication Research, 8(2), 156–160. https://doi.org/10.1080/00909888009360280
  • WHO. (2020). WHO ad-hoc online consultation on managing the COVID-19 infodemic. https://www.who.int/teams/epi-win/infodemic-management/who-ad-hoc-online-consultation-on-managing-the-covid-19-infodemic
  • Xu, J., Zhang, M., & Ni, J. (2016). A coupled model for government communication and rumor spreading in emergencies. Advances in Difference Equations, 2016(1), 1–15. https://doi.org/10.1186/s13662-016-0932-1
  • Yang, J. Z., & Chu, H. (2018). Who is afraid of the Ebola outbreak? The influence of discrete emotions on risk perception. Journal of Risk Research, 21(7), 834–853. https://doi.org/10.1080/13669877.2016.1247378
  • Zeng, R., & Zhu, D. (2019). A model and simulation of the emotional contagion of netizens in the process of rumor refutation. Scientific Reports, 9(1), 1–15. https://doi.org/10.1038/s41598-019-50770-4
  • Zhang, J., & Xu, C. (1992). Dictionary of Chinese praise and blame words. Liaoning People's Publishing House [in Chinese].

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