Data from the study on Framing COVID-19 In China: A Multi-platform Content Analysis of The Political Conversation

Datacite citation style:
Li, Xun (2020): Data from the study on Framing COVID-19 In China: A Multi-platform Content Analysis of The Political Conversation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:cccabb6d-232c-4870-939d-f3c074509d33
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

by Xun Li orcid logo
The study examines 30 consecutive episodes of Xinwen Lianbo (541 stories), 332 posts on “cctvxwlianbo” WeChat official account, 161 articles on the front page of People’s Daily newspaper in 30 days, as well as 1,015 hashtags and news articles on Sina Weibo’s two categories of ranking (top searched and real-time hot topic). The study's methodology is related to these publications: An, Seon-Kyoung, and Karla K. Gower. “How Do the News Media Frame Crises? A Content Analysis of Crisis News Coverage.” Public Relations Review 35, no. 2 (2009): 107–12. https://doi.org/10.1016/j.pubrev.2009.01.010. Goodall, Catherine; Sabo, Jason; Cline, Rebecca & Egbert Nichole (2012), Threat, Efficacy, and Uncertainty in the First 5 Months of National Print and Electronic News Coverage of the H1N1 Virus, Journal of Health Communication, 17:3, 338-355, DOI: 10.1080/10810730.2011.626499

History

  • 2020-06-02 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/vnd.google-earth.kml+xml, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, text/plain

Organizations

The George Washington University School of Media and Public Affairs

DATA

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