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      Finding Fauci : How Visual and Textual Information Varied on Cable News Networks During the Covid-19 Pandemic

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      Computational Communication Research
      Amsterdam University Press
      Image data, cable news, covid-19, misinformation

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          Abstract

          As the Covid-19 pandemic progressed, the public increasingly relied on news outlets to provide up-to-date health information. Often times this information was provided by Dr. Anthony Fauci during the course of on-air interviews. Consequently, when Dr. Fauci appeared less and less, many became concerned that the public was not receiving the full picture, especially since Dr. Fauci was often not afraid to voice concerns over how the pandemic was being handled at the federal, state and local level. Using text and image data from 6,587 CNN, Fox News and MSNBC programs, this paper determines the extent to which Dr. Fauci appeared on air and whether the rate of his appearances (or lack thereof) diminished over time. We then look at whether Dr. Fauci’s appearances (or lack thereof) are conditioned on what is being said during broadcasts. Not only do we find that Dr. Fauci appeared significantly less on Fox News, but this discrepancy increases as the pandemic progresses and when public health information is discussed. Regardless of whether this constitutes “misinformation” or “framing,” our study speaks volumes to two important research areas and broader concerns over the balance of Covid-19 coverage, especially when the public needed it the most.

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          Framing: Toward Clarification of a Fractured Paradigm

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            Susceptibility to misinformation about COVID-19 around the world

            Misinformation about COVID-19 is a major threat to public health. Using five national samples from the UK (n = 1050 and n = 1150), Ireland (n = 700), the USA (n = 700), Spain (n = 700) and Mexico (n = 700), we examine predictors of belief in the most common statements about the virus that contain misinformation. We also investigate the prevalence of belief in COVID-19 misinformation across different countries and the role of belief in such misinformation in predicting relevant health behaviours. We find that while public belief in misinformation about COVID-19 is not particularly common, a substantial proportion views this type of misinformation as highly reliable in each country surveyed. In addition, a small group of participants find common factual information about the virus highly unreliable. We also find that increased susceptibility to misinformation negatively affects people's self-reported compliance with public health guidance about COVID-19, as well as people's willingness to get vaccinated against the virus and to recommend the vaccine to vulnerable friends and family. Across all countries surveyed, we find that higher trust in scientists and having higher numeracy skills were associated with lower susceptibility to coronavirus-related misinformation. Taken together, these results demonstrate a clear link between susceptibility to misinformation and both vaccine hesitancy and a reduced likelihood to comply with health guidance measures, and suggest that interventions which aim to improve critical thinking and trust in science may be a promising avenue for future research.
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              Negative Binomial Regression

                Author and article information

                Contributors
                http://www.brycejdietrich.com
                Journal
                CCR
                Computational Communication Research
                Amsterdam University Press (Amsterdam )
                2665-9085
                2665-9085
                February 2022
                : 4
                : 1
                Affiliations
                University of Iowa
                University of Iowa
                Article
                CCR2022.1.004.DIET
                10.5117/CCR2022.1.004.DIET
                7cfec433-361e-4e79-87f6-db1021d74d0c
                © Bryce J. Dietrich & Hyein Ko

                This is an open access article distributed under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/

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                Categories
                Article

                Image data,covid-19,misinformation,cable news
                Image data, covid-19, misinformation, cable news

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