Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34321, first published .
The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis

The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis

The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis

Journals

  1. Liu K, Geng X, Liu X. The application of network agenda setting model during the COVID-19 pandemic based on latent dirichlet allocation topic modeling. Frontiers in Psychology 2022;13 View
  2. Ren R, Xu J. It’s not an encyclopedia, it’s a market of agendas: Decentralized agenda networks between Wikipedia and global news media from 2015 to 2020. New Media & Society 2024;26(11):6235 View
  3. Šķestere L, Darģis R. Agenda-Setting Dynamics during COVID-19: Who Leads and Who Follows?. Social Sciences 2022;11(12):556 View
  4. Gasparyan A, Kumar A, Yessirkepov M, Zimba O, Nurmashev B, Kitas G. Global Health Strategies in the Face of the COVID-19 Pandemic and Other Unprecedented Threats. Journal of Korean Medical Science 2022;37(22) View
  5. Cai M, Gong X, Liu J. Heterogeneous Diffusion of Government Microblogs and Public Agenda Networks during Public Policy Communication in China. Entropy 2023;25(4):640 View
  6. Zhang Y, Jing Y. Research on the Effectiveness of Network Agenda Setting of Tourism Destination Image Dissemination: Take Ganzi as an Example. Highlights in Business, Economics and Management 2023;8:440 View
  7. Balogun B, Hogden A, Kemp N, Yang L, Agaliotis M. Public health agencies’ use of social media for communication during pandemics: a scoping review of the literature. Osong Public Health and Research Perspectives 2023;14(4):235 View
  8. DEMİREL S, GÜNDÜZ U. World Health Organization’s Twitter Use Before and During Covid-19 Pandemic: Sentiment and Textual Analysis of Tweets. Intermedia International E-journal 2022;9(17):235 View
  9. Mou J, Liu W, Guan C, Westland J, Kim J. Predicting the cryptocurrency market using social media metrics and search trends during COVID-19. Electronic Commerce Research 2024;24(2):1307 View
  10. Unlu A, Truong S, Sawhney N, Tammi T. Setting the misinformation agenda: Modeling COVID-19 narratives in Twitter communities. New Media & Society 2025;27(7):3973 View
  11. Xian X, Neuwirth R, Chang A. Government-Nongovernmental Organization (NGO) Collaboration in Macao’s COVID-19 Vaccine Promotion: Social Media Case Study. JMIR Infodemiology 2024;4:e51113 View
  12. Su X, Wang S, Rosak-Szyrocka J. The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19). PLOS ONE 2024;19(4):e0299374 View
  13. Huang Y, Liu R, Sun J. Understanding the conditional media effects: trust, new media exposure, and preventive behaviors during the COVID-19 pandemic. Chinese Journal of Communication 2024:1 View
  14. Zhang S. Media Network and Citizen Journalism: The Transition from Agenda Setting to Agenda Loop. Communication Studies 2025;76(3):256 View
  15. Ng Q, Wee L, Lim Y, Ong R, Ong C, Venkatachalam I, Liew T. Piecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023. Frontiers in Public Health 2024;12 View
  16. Gong X, Cai M, Meng X, Yang M, Wang T. How Social Bots Affect Government-Public Interactions in Emerging Science and Technology Communication. International Journal of Human–Computer Interaction 2025;41(21):13319 View
  17. Lin H, Zhang M, Qi X, Shen W. Social bots shape public issue networks in China’s dual-carbon agenda: a network analysis using MRQAP. Humanities and Social Sciences Communications 2025;12(1) View
  18. Son H, Park Y. Agenda-setting effects for covid-19 vaccination: Insights from 10 million textual data from social media and news articles using BERTopic. International Journal of Information Management 2025;83:102907 View
  19. Khan S, Raza S, Ilyas M, Shah A, Zaman U, Ogadimma E, Sattar S. Hybrid model of machine and deep learning to analyze Twitter data and prediction of online public opinion: revisiting agenda-setting implications. Information Discovery and Delivery 2025 View
  20. Chen Y, Peng G, Tu Y, Ren T. A Study of Risk Communication and Perceptions of Official and Public Agendas in the Context of Emergencies: Based on the Itaewon Stampede. SAGE Open 2025;15(2) View
  21. Cai Y, Qi H, Lu W, Zhang K, Shen Q. Whose story is prevailing on Twitter? The international discourse battle over Japan's nuclear wastewater discharge. Asian Journal of Communication 2025;35(4):351 View