Politics, Power and a Pandemic: Searching for Information and Accountability During a Twitter Infodemic

Author:

LaPoe Benjamin R.1,Carter Olson Candi S.2,LaPoe Victoria L.1,Jain Parul1,Woellert Allyson1,Long Aaron1

Affiliation:

1. Ohio University, Athens, Ohio, United States

2. Utah State University, Logan, United States

Abstract

During the early weeks of the U.S. COVID-19 pandemic, society was battling an infodemic–defined as a “tsunami” of online misinformation. Through the lens of mediatization theory, this article examines 800,000 tweets to understand social media information and misinformation related to the COVID-19. Through multi-layered analysis, this article details prominent key words discussed on Twitter connected to pandemic trending hashtags in early-to-mid March 2020: #Covid19 and #Coronavirus. The most prominent word themes included: novelty of this virus and associated uncertainty and the spread of misinformation; severity and widespread reach of the virus; call for collective action; and expectations relative to government action. The article explains these findings through mediatization theory, applying how technology influences social media discussions.

Publisher

SAGE Publications

Subject

Communication,Information Systems

Reference79 articles.

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2. Anadolu Anadolu [anadoluagency] (2020, March 17). #US #coronavirus deaths hit 85, cases over 4,600: study https://t.co/lmyHlrMkdI https://t.co/Oly8HT1YHc [Tweet]. Retrieved from https://twitter.com/anadoluagency/status/1239927821990060032.

3. Arouzi A. [aliarouzi]. (2020, March 17). The numbers for #coronavirus in #Iran continue to be shocking In the past 24 h 1178 new cases Total cases 16169 135 dead in the past 24 h, total dead 988 In the last 4 days over a 100 people a day have died of and over a 1000 people a day have contracted #COVID19 [Tweet] Retrieved from https://twitter.com/aliarouzi/status/1239905123893207043.

4. Public information officers’ social media monitoring during the Zika virus crisis, a global health threat surrounded by public uncertainty

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