138
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Investigating the Coverage of China’s Vaccine Crisis on YouTube: Networked Framing, Grassroots Activism, and Homophily

, , &

References

  • Blassnig, S., Engesser, S., Ernst, N., & Esser, F. (2019). Hitting a nerve: Populist news articles lead to more frequent and more populist reader comments. Political Communication, 36(4), 629–651. https://doi.org/10.1080/10584609.2019.1637980
  • Bolsen, T., & Druckman, J. N. (2015). Counteracting the politicization of science. Journal of Communication, 65(5), 745–769. https://doi.org/10.1111/jcom.12171
  • Bowman, S., & Willis, C. (2003). We media: How audiences are shaping the future of news and information. American Press Institute.
  • Bradshaw, A. S. (2023). # DoctorsSpeakUp: Exploration of hashtag hijacking by anti-vaccine advocates and the influence of scientific counterpublics on Twitter. Health Communication, 38(10), 2167–2177. https://doi.org/10.1080/10410236.2022.2058159
  • Chang, J., Gerrish, S., Wang, C., Boyd-Graber, J. L., & Blei, D. M. (2009). Reading tea leaves: How humans interpret topic models. In Y. Bengio, D. Schuurman, J. Lafferty, C. K. I. Williams, & A. Culotta (Eds.), Advances in Neural Information Processing Systems (pp. 288–296). The MIT Press.
  • Chen, S., & Gunster, S. (2019). China as janus: The framing of China by British Columbia’s alternative public sphere. Chinese Journal of Communication, 12(4), 431–448. https://doi.org/10.1080/17544750.2018.1530686
  • Chinn, S., Hart, P. S., & Soroka, S. (2020). Politicization and polarization in climate change news content, 1985-2017. Science Communication, 42(1), 112–129. https://doi.org/10.1177/1075547019900290
  • De Francisci Morales, G., Monti, C., & Starnini, M. (2021). No echo in the chambers of political interactions on Reddit. Scientific Reports, 11(1), 2818. https://doi.org/10.1038/s41598-021-81531-x
  • De Vreese, C. H. (2005). News framing: Theory and typology. Information Design Journal + Document Design, 13(1), 51–62. https://doi.org/10.1075/idjdd.13.1.06vre
  • Duan, R., & Takahashi, B. (2017). The two-way flow of news: A comparative study of American and Chinese newspaper coverage of Beijing’s air pollution. International Communication Gazette, 79(1), 83–107. https://doi.org/10.1177/1748048516656303
  • Edgerly, S., Vraga, E. K., Dalrymple, K. E., Macafee, T., & Fung, T. K. (2013). Directing the dialogue: The relationship between YouTube videos and the comments they spur. Journal of Information Technology & Politics, 10(3), 276–292. https://doi.org/10.1080/19331681.2013.794120
  • Fowler, E. F., & Gollust, S. E. (2015). The content and effect of politicized health controversies. The ANNALS of the American Academy of Political and Social Science, 658(1), 155–171. https://doi.org/10.1177/0002716214555505
  • Hanusch, F., & Nölleke, D. (2019). Journalistic homophily on social media: Exploring journalists’ interactions with each other on Twitter. Digital Journalism, 7(1), 22–44. https://doi.org/10.1080/21670811.2018.1436977
  • Hart, P. S., Chinn, S., & Soroka, S. (2020). Politicization and polarization in COVID-19 news coverage. Science Communication, 42(5), 679–697. https://doi.org/10.1177/1075547020950735
  • Huang, H. H. (2018). Exploring Citizens’ Hierarchical Government Satisfaction: Evidence from China and Taiwan. Japanese Journal of Political Science, 19(2), 122–145. https://doi.org/10.1017/S1468109918000026
  • Iyengar, S., & Simon, A. (1993). News coverage of the Gulf crisis and public opinion: A study of agenda-setting, priming, and framing. Communication Research, 20(3), 365–383. https://doi.org/10.1177/009365093020003002
  • Jia, W., & Lu, F. (2023). Media convergence for US–China competition? Comparative case studies of China Media Group and the US Agency for Global Media. International Communication Gazette. Advance online publication. https://doi.org/10.1177/17480485231165371
  • Kaiser, J., & Rauchfleisch, A. (2020). Birds of a feather get recommended together: Algorithmic homophily in YouTube’s channel recommendations in the United States and Germany. Social Media+ Society, 6(4), 1–15. https://doi.org/10.1177/2056305120969914
  • Kramer, A. D., Guillory, J. E., & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, 111(24), 8788–8790. https://doi.org/10.1073/pnas.1320040111
  • Lee, F. L., Chan, J. M., & Zhou, B. (2011). National lenses on a global news event: Determinants of the politicization and domestication of the prelude to the Beijing Olympics. Chinese Journal of Communication, 4(3), 274–292. https://doi.org/10.1080/17544750.2011.594554
  • Liu, A. K., Ophir, Y., Tsai, S. A., Walter, D., & Himelboim, I. (2022). Hashtag activism in a politicized pandemic: Framing the campaign to include Taiwan in the World Health Organization’s efforts to combat COVID-19. New Media & Society. Advance online publication. https://doi.org/10.1177/14614448221099173
  • Liu-Thompkins, Y. (2012). Seeding viral content: The role of message and network factors. Journal of Advertising Research, 52(4), 465–478. https://doi.org/10.2501/JAR-52-4-465-478
  • Lusher, D., Koskinen, J., & Robins, G. (Eds.). (2013). Exponential random graph models for social networks: Theory, methods, and applications. Cambridge University Press.
  • McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444. https://doi.org/10.1146/annurev.soc.27.1.415
  • Meraz, S., & Papacharissi, Z. (2013). Networked gatekeeping and networked framing on# Egypt. The International Journal of Press/Politics, 18(2), 138–166. https://doi.org/10.1177/1940161212474472
  • Meunier, S., & Nicolaidis, K. (2019). The geopoliticization of European trade and investment policy. Journal of Common Market Studies, 57(S1), 103–113. https://doi.org/10.1111/jcms.12932
  • Morris, M., Handcock, M. S., & Hunter, D. R. (2008). Specification of exponential-family random graph models: Terms and computational aspects. Journal of Statistical Software, 24(4), 1548. https://doi.org/10.18637/jss.v024.i04
  • Postigo, H. (2016). The socio-technical architecture of digital labor: Converting play into YouTube money. New Media & Society, 18(2), 332–349. https://doi.org/10.1177/1461444814541527
  • Rivera, M. T., Soderstrom, S. B., & Uzzi, B. (2010). Dynamics of dyads in social networks: Assortative, relational, and proximity mechanisms. Annual Review of Sociology, 36(1), 91–115. https://doi.org/10.1146/annurev.soc.34.040507.134743
  • Roberts, M. E., Stewart, B. M., Tingley, D., Lucas, C., Leder‐Luis, J., Gadarian, S. K., and Rand, D. G. (2014). Structural topic models for open‐ended survey responses. American Journal of Political Science, 58(4), 1064–1082. https://doi.org/10.1111/ajps.12103
  • Schudson, M. (2002). The news media as political institutions. Annual Review of Political Science, 5(1), 249–269. https://doi.org/10.1146/annurev.polisci.5.111201.115816
  • Sharfstein, J. M., Callaghan, T., Carpiano, R. M., Sgaier, S. K., Brewer, N. T., Galvani, A. P., … Hotez, P. J. (2021). Uncoupling vaccination from politics: A call to action. The Lancet, 398(10307), 1211–1212. https://doi.org/10.1016/S0140-6736(21)02099-7
  • Siapera, E., Boudourides, M., Lenis, S., & Suiter, J. (2018). Refugees and network publics on Twitter: Networked framing, affect, and capture. Social Media+ Society, 4(1), 1–21. https://doi.org/10.1177/2056305118764437
  • Stromer-Galley, J. (2007). Measuring deliberation’s content: A coding scheme. Journal of Public Deliberation, 3(1), 12. https://doi.org/10.16997/jdd.50
  • Thussu, D. K., De Burgh, H., & Shi, A. (Eds.). (2017). China’s media go global. Routledge.
  • Tilt, B., & Xiao, Q. (2010). Media coverage of environmental pollution in the People’s Republic of China: Responsibility, cover-up and state control. Media, Culture & Society, 32(2), 225–245. https://doi.org/10.1177/0163443709355608
  • Tufekci, Z. (2013). “Not this one” social movements, the attention economy, and microcelebrity networked activism. American Behavioral Scientist, 57(7), 848–870. https://doi.org/10.1177/000276421347
  • Varnelis, K. (2012). Networked publics. The MIT Press.
  • Vergeer, M. (2015). Peers and sources as social capital in the production of news: Online social networks as communities of journalists. Social Science Computer Review, 33(3), 277–297. https://doi.org/10.1177/0894439314539128
  • Wang, Y. (2018). Digital amplification of fringe voices: Alternative media and street politics in Hong Kong. International Journal of Communication, 12, 3707–3728. https://ijoc.org/index.php/ijoc/article/view/8904/2451
  • Wang, X., Lin, L., Xu, J., Wang, W., & Zhou, X. (2021). Expectant parents’ vaccine decisions influenced by the 2018 Chinese vaccine crisis: A cross-sectional study. Preventive Medicine, 145, 106423. https://doi.org/10.1016/j.ypmed.2021.106423
  • Wu, F., & Li, Y. (2017). Jingwai fanhua meiti de zuixin taishi, yunzuo moshi ji yingdui celve [The latest situation, operation mode and countermeasures of overseas anti-China media. Qingbao zazhi, 36(3), 36–41.
  • Xiang, D. (2013). China’s image on international English language social media. Journal of International Communication, 19(2), 252–271. https://doi.org/10.1080/13216597.2013.833535
  • Ylä-Anttila, T., Bauvois, G., & Pyrhonen, N. (2019). Politicization of migration in the countermedia style: A computational and qualitative analysis of populist discourse. Discourse, Context & Media, 32, 100326. https://doi.org/10.1016/j.dcm.2019.100326
  • Yousefinaghani, S., Dara, R., Mubareka, S., Papadopoulos, A., & Sharif, S. (2021). An analysis of COVID-19 vaccine sentiments and opinions on Twitter. International Journal of Infectious Diseases, 108, 256–262. https://doi.org/10.1016/j.ijid.2021.05.059
  • Zhao, Y. (2003). Falun Gong, identity, and the struggle over meaning inside and outside China. In N. Couldry & J. Curran (Eds.), Contesting media power: Alternative media in a networked world (pp. 209–226). Rowman & Littlefield Publishers.
  • Zhou, M., Qu, S., Zhao, L., Kong, N., Campy, K. S., & Wang, S. (2019). Trust collapse caused by the Changsheng vaccine crisis in China. Vaccine, 37(26), 3419–3425. https://doi.org/10.1016/j.vaccine.2019.05.020

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.