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 2023:146144482211496 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 View