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Agenda Setting between the Public and Government on Weibo: The Case of Shanghai Lockdown during the COVID-19 Epidemic

  • Weiwen Yu (Walter Cronkite School of Journalism and Mass Communication at Arizona State University)
  • Published : 2023.12.31

Abstract

This study examined China's public and government agenda setting in response to the Shanghai lockdown due to the COVID-19 pandemic. It employed content analysis, correlation, and Granger's causality tests to analyze 1,717 Weibo posts published by the public and the Shanghai Municipal Government from March 12 to June 1, 2022. The results showed that (1) pandemic statistics were the central attribute in the government agenda, while civil life, community management, and government and policies were the central attributes in the public agenda; (2) the government's agenda unidirectionally influenced the public agenda in terms of government policy attributes; and (3) the government and public agendas reciprocally influenced each other in terms of economic attributes. This study contributed to the existing literature by examining agenda-setting dynamics in a city closure event during the COVID-19 epidemic. It also extended existing methods by modeling implicit relationships between attributes in the public and government agendas.

Keywords

References

  1. Almighty uncle. (2022, May 26). Non-public capital is prohibited from engaging in news, and Tencent News "disappeared in an instant?" Tencent. https://new.qq.com/omn/20220526/20220526A0BVX800.html
  2. Becketti, S. (2013). Introduction to time series using Stata. Stata Press.
  3. Cai, M., Luo, H., Meng, X., Cui, Y., & Wang, W. (2023). Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media. Information Processing & Management, 60(2), 103197.
  4. Chang, G. G. (2022, April 17). In Shanghai, COVID-19 has become China's political disease. THE HILL. https://thehill.com/opinion/international/3270498-in-shanghai-covid-19-has-become-chinas-political-disease/
  5. Che, S., Wang, X., Zhang, S., & Kim, J. H. (2023). Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis. Journal of Public Health, 1-20. https://doi.org/10.1007/s10389-023-01833-4
  6. Chen, L., Shi, J., Guo, Y., Wang, P., & Li, Y. (2019). Agenda-setting on traditional vs social media: An analysis of haze-related content grounded in the extended parallel process model. Internet Research, 29(4), 688-703. https://doi.org/10.1108/IntR-08-2017-0315
  7. Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020). Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Computers in human behavior, 110, 106380. https://doi.org/10.1016/j.chb.2020.106380
  8. Chen, Z., Su, C. C., & Chen, A. (2019). Top-down or bottom-up? A network agenda-setting study of Chinese nationalism on social media. Journal of Broadcasting & Electronic Media, 63(3), 512-533. https://doi.org/10.1080/08838151.2019.1653104
  9. Cheshmehzangi, A., Zou, T., & Su, Z. (2022, June 14). Commentary: China's Zero-COVID Approach Depends on Shanghai's Outbreak Control. Frontiers in Public Health. https://www.frontiersin.org/articles/10.3389/fpubh.2022.912992/full
  10. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1), 37-46. https://doi.org/10.1177/001316446002000104
  11. Crossley, G., & Tian, Y. L. (2021, February 28). Foreign journalists in China see 'rapid decline in media freedom': survey. Reuters. https://www.reuters.com/article/us-china-media/foreign-journalists-in-china-see-rapid-decline-in-media-freedom-survey-idUSKCN2AT182
  12. Dai, Y., Li, Y., Cheng, C. Y., Zhao, H., & Meng, T. (2021). Government-led or public-led? Chinese policy agenda setting during the COVID-19 pandemic. Journal of Comparative Policy Analysis: Research and Practice, 23(2), 157-175. https://doi.org/10.1080/13876988.2021.1878887
  13. Ellis, R. (2022, April 30). Shanghai Residents Complain About COVID Lockdowns. Webmd. https://www.webmd.com/covid/news/20220430/shanghai-residents-complain-about-covid-lockdowns
  14. English, A. S., & Li, X. (2021). Mask use depends on the individual, situation, and location-even without COVID-19 transmission: an observational study in Shanghai. Frontiers in psychology, 12, 1-11. https://doi.org/10.3389/fpsyg.2021.754102
  15. Feng, G. C. (2015). Mistakes and How to Avoid Mistakes in Using Intercoder Reliability Indices. Methodology, 11(1), 13-22. https://doi.org/10.1027/1614-2241/a000086
  16. Ferrara, E. (2018). Measuring social spam and the effect of bots on information diffusion in social media. In S. Lehmann & Y. Y. Ahn (Eds.), Complex Spreading Phenomena in Social Systems: Influence and Contagion in Real-World Social Networks (pp. 229-255). Springer.
  17. Gan, N. (2022, June 1). Shanghai is finally 'reopening,' but the trauma of lockdown lives on. CNN. https://www.cnn.com/2022/06/01/china/shanghai-lockdown-reopening-intl-hnk-mic/index.html
  18. Granger, C. W. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. https://doi.org/10.2307/1912791
  19. Hernandez, J. C. (2019, July 12). 'We're Almost Extinct': China's Investigative Journalists Are Silenced Under Xi. The New York Times. https://www.nytimes.com/2019/07/12/world/asia/china-journalists-crackdown.html
  20. Howlett, M. (1998). Predictable and unpredictable policy windows: Institutional and exogenous correlates of Canadian federal agenda-setting. Canadian Journal of Political Science, 31(3), 495-524. https://doi.org/ 10.1017/S0008423900009100
  21. Jiang, Y. (2014). 'Reversed agenda-setting effects' in China case studies of Weibo trending topics and the effects on state-owned media in China. Journal of International Communication, 20(2), 168-183. https://doi.org/10.1080/ 13216597.2014.908785
  22. Koetse, M. (2022, April 1). Shanghai Lockdown on Social Media: "Panic Surrounding Epidemic More Dangerous than Epidemic Itself. What's on Weibo. https://www.whatsonweibo.com/shanghai-lockdown-on-social-media-panic-surrounding-epidemic-more-dangerous-than-epidemic-itself/
  23. Kosicki, G. M. (1993). Problems and opportunities in agenda-setting research. Journal of communication, 43(2), 100-127. https://doi.org/10.1111/j.1460-2466.1993.tb01265.x
  24. Lagerkvist, J. (2010). After the Internet, before democracy: Competing norms in Chinese media and society. Peter Lang.
  25. Li, Y., & Lin, L. (2017). The Chinese Media Framing of the 2015's Tianjin Explosion. Jurnal Ilmu Komunikasi, 14(1), 23-42. https://doi.org/10.24002/jik.v14i1.1179
  26. Liu, Y., & Chan, R. H. Y. (2018). The framework of crisis-induced agenda setting in China. Asia & the Pacific Policy Studies, 5(1), 18-33. https://doi.org/10.1002/app5.220
  27. Luo, Y. (2013). Mapping agenda-setting research in China: A meta-analysis study. Chinese Journal of Communication, 6(3), 269-285. https://doi.org/10.1080/17544750.2013.789426
  28. Luo, Y., & Harrison, T. M. (2019). How citizen journalists impact the agendas of traditional media and the government policy-making process in China. Global Media and China, 4(1), 72-93. https://doi.org/10.1177/2059436419835771
  29. McCombs, M. (2005). A look at agenda-setting: Past, present and future. Journalism studies, 6(4), 543-557. https://doi.org/10.1080/14616700500250438
  30. McCombs, M., Llamas, J. P., Lopez-Escobar, E., & Rey, F. (1997). Candidate images in Spanish elections: Second-level agenda-setting effects. Journalism & Mass Communication Quarterly, 74(4), 703-717. https://doi.org/10.1177/107769909707400404
  31. McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public opinion quarterly, 36(2), 176-187. https://doi.org/10.1086/267990
  32. Melek, G. (2017). A Study on Hurriyet and Twitter Within the Framework of Intermedia Agenda-Setting. Journal of Communication Theory and Research (Iletisim Kuram ve Arastirma Dergisi), 44, 17-41.
  33. Meraz, S. (2009). Is There an Elite Hold? Traditional Media to Social Media Agenda Setting Influence in Blog Networks. Journal of Computer-Mediated Communication, 14(3), 682-707. https://doi.org/10.1111/j.1083-6101.2009.01458.x
  34. Nam, B. H. (2021). Online teaching experience as a member of international faculty during the outbreak of COVID-19 in China. In K. Bista, A. Ryan, & R. Chan (Eds.), Impacts of COVID-19 on International Students and the Future of Student Mobility (pp. 104-118). Routledge.
  35. Ni, V. (2022, April 15). Shanghai residents forced from homes clash with police over Covid policy. The Guardian. https://www.theguardian.com/world/2022/apr/15/shanghai-residents-forced-from-homes-clash-with-police-over-covid-policy
  36. Nili, A., Tate, M., Barros, A., & Johnstone, D. (2020). An approach for selecting and using a method of inter-coder reliability in information management research. International Journal of Information Management, 54, 102154. https://doi.org/10.1016/j.ijinfomgt.2020.102154
  37. Peter, J. (2003). Country Characteristics as Contingent Conditions of Agenda Setting: The Moderating Influence of Polarized Elite Opinion. Communication Research, 30(6), 683-712. https://doi.org/10.1177/0093650203257844
  38. Russell Neuman, W., Guggenheim, L., Mo Jang, S., & Bae, S. Y. (2014). The Dynamics of Public Attention: Agenda-Setting Theory Meets Big Data. Journal of Communication, 64(2), 193-214. https://doi.org/10.1111/jcom.12088
  39. Skestere, L., & Darģis, R. (2022). Agenda-Setting Dynamics during COVID-19: Who Leads and Who Follows?. Social Sciences, 11(12), 556. https://doi.org/10.3390/socsci11120556
  40. Tang, L., & Zou, W. (2021). Health information consumption under COVID-19 lockdown: An interview study of residents of Hubei Province, China. Health Communication, 36(1), 74-80. https://doi.org/10.1080/10410236.2020.1847447
  41. Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of econometrics, 66(1-2), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8
  42. Wang, Q. (2022). Using Social Media for Agenda Setting in Chinese Government's Communications During the 2020 COVID-19 Pandemic. Journal of Communication Inquiry, 46(4), 373-394. https://doi.org/10.1177/01968599221105099
  43. Wang, S. (2008). Changing models of China's policy agenda setting. Modern China, 34(1), 56-87. https://doi.org/10.1177/0097700407308169
  44. Wang, V., & Qian, I. (2022, April 7). Shanghai residents in lockdown criticize China's 'zero Covid' strategy. The New York Times. https://www.nytimes.com/2022/04/07/world/asia/shanghai-china-covid-protests.html
  45. Wang, J., Zhou, Y., Zhang, W., Evans, R., & Zhu, C. (2020). Concerns expressed by Chinese social media users during the COVID-19 pandemic: content analysis of Sina Weibo microblogging data. Journal of medical Internet research, 22(11), e22152. https://doi.org/10.2196/22152
  46. Yang, G. (2003). The Internet and the rise of a transnational Chinese cultural sphere. Media, Culture & Society, 25(4), 469-490. https://doi.org/10.1177/01634437030254003
  47. Yang, G. (2009). The power of the Internet in China: Citizen activism online. Columbia University Press.
  48. Ye, Y. (2022). How Shanghai's scientists are coping amid harsh COVID lockdown. Nature, 604(7906), 409-410. https://doi.org/10.1038/d41586-022-01052-z
  49. Yiu, K. (2022, June 1). As Shanghai COVID-19 lockdown ends, residents celebrate in the streets and fences come down. ABC News. https://abcnews.go.com/International/shanghai-covid-19-lockdown-ends-residents-celebrate-streets/story?id=85103023
  50. Yuan, Y. (2017). A Gradual Political Change?: The Agenda Setting Effect of Online Activism in China 1994-2011. In M. Adria & Y. Mao (Eds.), Handbook of research on citizen engagement and public participation in the era of new media (pp. 248-268). IGI Global. https://doi.org/10.4018/978-1-5225-1081-9.ch014
  51. Zhang, N., Shi, T., Zhong, H., & Guo, Y. (2020). Covid-19 prevention and control public health strategies in Shanghai, China. Journal of Public Health Management and Practice, 26(4), 334-344. https://doi.org/10.1097/PHH.0000000000001202
  52. Zhao, X., Liu, J. S., & Deng, K. (2013). Assumptions behind intercoder reliability indices. Annals of the International Communication Association, 36(1), 419-480. https://doi.org/10.1080/23808985.2013.11679142
  53. Zhou, Y., & Moy, P. (2007). Parsing framing processes: The interplay between online public opinion and media coverage. Journal of communication, 57(1), 79-98. https://doi.org/10.1111/j.0021-9916.2007.00330.x
  54. Zhou, S., & Zheng, X. (2022). Agenda Dynamics on Social Media During COVID-19 Pandemic: Interactions Between Public, Media, and Government Agendas. Communication Studies, 73(3), 211-228. https://doi.org/10.1080/10510974.2022.2082504
  55. Zhu, J., Chen, Q., & Ma, X. (2022). Comparison of News Reports on Public Health Events in Mainstream Media in China and the West: the 2022 Shanghai COVID-19 Outbreak as an Example. Journal of Humanities and Social Sciences Studies, 4(4), 17-24. https://doi.org/10.32996/jhsss.2022.4.4.4