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      Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags

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          Abstract

          Background

          Although past research has focused on COVID-19–related frames in the news media, such research may not accurately capture and represent the perspectives of people from diverse backgrounds. Additionally, research on the public attention to COVID-19 as reflected through frames on social media is scarce.

          Objective

          This study identified the frames about the COVID-19 pandemic in the public discourse on Twitter, which voices diverse opinions. This study also investigated the amount of public attention to those frames on Twitter.

          Methods

          We collected 22 trending hashtags related to COVID-19 in the United States and 694,582 tweets written in English containing these hashtags in March 2020 and analyzed them via thematic analysis. Public attention to these frames was measured by evaluating the amount of public engagement with frames and public adoption of those frames.

          Results

          We identified 9 frames including “public health guidelines,” “quarantine life,” “solidarity,” “evidence and facts,” “call for action,” “politics,” “post-pandemic life,” “shortage panic,” and “conflict.” Results showed that some frames such as “call for action” are more appealing than others during a global pandemic, receiving greater public adoption and engagement. The “call for action” frame had the highest engagement score, followed by “conflict” and “evidence and facts.” Additionally, “post-pandemic life” had the highest adoption score, followed by “call for action” and “shortage panic.” The findings indicated that the frequency of a frame on social media does not necessarily mean greater public adoption of or engagement with the frame.

          Conclusions

          This study contributes to framing theory and research by demonstrating how trending hashtags can be used as new user-generated data to identify frames on social media. This study concludes that the identified frames such as “quarantine life” and “conflict” and themes such as “isolation” and “toilet paper panic” represent the consequences of the COVID-19 pandemic. The consequences could be (1) exclusively related to COVID-19, such as hand hygiene or isolation; (2) related to any health crisis such as social support of vulnerable groups; and (3) generic that are irrespective of COVID-19, such as homeschooling or remote working.

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          Most cited references74

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          Using thematic analysis in psychology

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            Framing: Toward Clarification of a Fractured Paradigm

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              • Record: found
              • Abstract: not found
              • Article: not found

              Media Discourse and Public Opinion on Nuclear Power: A Constructionist Approach

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                September 2021
                10 September 2021
                10 September 2021
                : 23
                : 9
                : e30800
                Affiliations
                [1 ] School of Information Sciences The University of Tennessee Knoxville, TN United States
                [2 ] School of Information Science The University of South Carolina Columbia, SC United States
                [3 ] School of Communication Studies The University of Tennessee Knoxville, TN United States
                Author notes
                Corresponding Author: Iman Tahamtan iman.tahamtan@ 123456gmail.com
                Author information
                https://orcid.org/0000-0001-7750-0183
                https://orcid.org/0000-0003-2507-8157
                https://orcid.org/0000-0003-3481-6991
                https://orcid.org/0000-0002-4488-8051
                https://orcid.org/0000-0002-9800-0505
                Article
                v23i9e30800
                10.2196/30800
                8437404
                34406961
                e15d5ee2-aad7-4f8a-b4a2-1002025b9ccd
                ©Iman Tahamtan, Devendra Potnis, Ehsan Mohammadi, Laura E Miller, Vandana Singh. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 10.09.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 29 May 2021
                : 19 June 2021
                : 13 July 2021
                : 22 July 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                covid-19,framing,twitter,social media,public opinion,engagement,public attention,thematic analysis,public health

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