2021
DOI: 10.1177/19312431211057488
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Politics, Power and a Pandemic: Searching for Information and Accountability During a Twitter Infodemic

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 the… Show more

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Cited by 5 publications
(5 citation statements)
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“…The findings also extend the hyperpersonal model of CMC, explaining how audiences employ SNS interaction features for favorable self-presentation via news consumption. Second, for news audiences, it is critical to take initiatives to increase algorithmic literacy for a richer news personalization experience and information-seeking, especially during periods of infodemics—“a pandemic of misinformation” or the spread of false news (LaPoe et al, 2021, p. 31). As a result, individuals, especially those with higher levels of self-monitoring, may avoid sharing information without additional scrutiny to maintain a tactful personal image if they have higher awareness levels of the algorithmic recommendation systems and what it will present about them to their social network.…”
Section: Discussionmentioning
confidence: 99%
“…The findings also extend the hyperpersonal model of CMC, explaining how audiences employ SNS interaction features for favorable self-presentation via news consumption. Second, for news audiences, it is critical to take initiatives to increase algorithmic literacy for a richer news personalization experience and information-seeking, especially during periods of infodemics—“a pandemic of misinformation” or the spread of false news (LaPoe et al, 2021, p. 31). As a result, individuals, especially those with higher levels of self-monitoring, may avoid sharing information without additional scrutiny to maintain a tactful personal image if they have higher awareness levels of the algorithmic recommendation systems and what it will present about them to their social network.…”
Section: Discussionmentioning
confidence: 99%
“…We used qualitative data analysis computer software NVivo to assist with the semantic textual analysis. Following the steps of past research connected to this software that effectively defined themes related to another national crisis, the COVID-19 pandemic (LaPoe et al, 2021), we randomized and sorted for key terms, manually removing technical words connected to Twitter such as http,.com, images, etc. We used NVivo to create a Word Tree to examine the context of each tweeted word.…”
Section: Methodsmentioning
confidence: 99%
“…Penyebaran hoax di media sosial dan media online tidak terjadi begitu saja tanpa adanya kepentingan individu yang melatar belakanginya. Kepentingan tersebut baik berupa politik, kekuasaan, ekonomi, ideologis, sentiment pribadi atau bahkan hanya untuk kepuasan dirinya sendiri (Atik, 2017;LaPoe et al, 2022). Hoax dan misinformasi banyak beredar melalui internet dan sosial media dan sebagian besar kontennya didominasi oleh informasi yang menakutkan, dan tidak berdasar pada bukti ilmiah (Kulkarni, 2020).…”
Section: Pendahuluanunclassified