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Factors influencing public engagement in government TikTok during the COVID-19 crisis

  • Wei Zhang
  • , Hui Yuan
  • , Chengyan Zhu
  • , Qiang Chen
  • , Richard David Evans
  • , Chen Min
  • Huazhong University of Science and Technology
  • Wuhan University
  • Dalhousie University

科研成果: 期刊稿件文章同行评审

16 引用 (Scopus)

摘要

Purpose: Although governments have used social media platforms to interact with the public in an attempt to minimize anxiety and provide a forum for public discussion during the pandemic, governments require sufficient crisis communication skills to engage citizens in taking appropriate action effectively. This study aims to examine how the National Health Commission of China (NHCC) has used TikTok, the leading short video–based platform, to facilitate public engagement during COVID-19. Design/methodology/approach: Building upon dual process theories, this study integrates the activation of information exposure, prosocial interaction theory and social sharing of emotion theory to explore how public engagement is related to message sensation value (MSV), media character, content theme and emotional valence. A total of 354 TikTok videos posted by NHCC were collected during the pandemic to explore the determinants of public engagement in crises. Findings: The findings demonstrate that MSV negatively predicts public engagement with government TikTok, but that instructional information increases engagement. The presence of celebrities and health-care professionals negatively affects public engagement with government TikTok accounts. In addition, emotional valence serves a moderating role between MSV, media characters and public engagement. Originality/value: Government agencies must be fully aware of the different combinations of MSV and emotion use in the video title when releasing crisis-related videos. Government agencies can also leverage media characters – health professionals in particular – to enhance public engagement. Government agencies are encouraged to solicit public demand for the specific content of instructing information through data mining techniques.

源语言英语
页(从-至)210-229
页数20
期刊Electronic Library
42
2
DOI
出版状态已出版 - 10 4月 2024

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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