Daniel Romer1, Kathleen Hall Jamieson1. 1. Annnenberg Public Policy Center, University of Pennsylvania, 202 S. 36th ST, Philadelphia, US.
Abstract
BACKGROUND: Holding conspiracy beliefs regarding the coronavirus pandemic in the US has been associated with reductions in both actions to prevent the spread of the infection (e.g., mask wearing) and intentions to accept a vaccine when one becomes available. Patterns of media use have also been associated with acceptance of Covid-19 conspiracy beliefs. Here we ask whether the type of media on which a person relies increased, decreased or had no additional effect on that person's Covid-19 conspiracy beliefs over a four-month period. OBJECTIVE: We used panel data to explore whether use of conservative and social media in the US, which were previously found to be positively related to holding conspiracy beliefs about the origins and prevention of Covid-19, were associated with a net increase in the strength of those beliefs from March to July of 2020. We also asked whether mainstream news sources, which were previously found to be negatively related to belief in pandemic-related conspiracies, were associated with a net decrease in the strength of such beliefs over the study period. Additionally, we asked whether subsequent changes in pandemic conspiracy beliefs related to the use of media were also related to subsequent mask wearing and vaccination intentions. METHODS: A survey that we conducted with a national US probability sample in March of 2020 and again in July with the same 840 respondents assessed belief in pandemic-related conspiracies, use of various types of media information sources, actions taken to prevent the spread of the disease and intentions to vaccinate, and various demographic characteristics. Change across the two waves was analyzed using path analytic techniques. RESULTS: We found that conservative media use predicted increase in conspiracy beliefs (ß=.17, 99% CI .10-.25) and that reliance on mainstream print predicted decrease in their belief, ß=-.08, 99% CI, -.14 to -.02. Although many social media platforms reported downgrading or removing false or misleading content, ongoing use of them by respondents predicted growth in conspiracy beliefs, as well ß=.072, 99% CI .018-.123. Importantly, conspiracy belief changes related to media use between the two waves of the study were associated with the uptake of mask wearing and changes in vaccination intentions in July. Unlike other media, mainstream broadcast TV predicted greater mask wearing (ß =.17, 99% CI .09-.26) and vaccination intention (ß=.08, 95% CI .02-.14) independent of conspiracy beliefs. CONCLUSIONS: The findings point to the need for greater efforts on the part of commentators, reporters, and guests on conservative media to report verifiable information about the pandemic. They suggest as well that social media platforms need to be more aggressive in downgrading, blocking, and counteracting claims about Covid-19 vaccines, mask wearing and conspiracy beliefs that have been judged problematic by public health authorities.
BACKGROUND: Holding conspiracy beliefs regarding the coronavirus pandemic in the US has been associated with reductions in both actions to prevent the spread of the infection (e.g., mask wearing) and intentions to accept a vaccine when one becomes available. Patterns of media use have also been associated with acceptance of Covid-19 conspiracy beliefs. Here we ask whether the type of media on which a person relies increased, decreased or had no additional effect on that person's Covid-19 conspiracy beliefs over a four-month period. OBJECTIVE: We used panel data to explore whether use of conservative and social media in the US, which were previously found to be positively related to holding conspiracy beliefs about the origins and prevention of Covid-19, were associated with a net increase in the strength of those beliefs from March to July of 2020. We also asked whether mainstream news sources, which were previously found to be negatively related to belief in pandemic-related conspiracies, were associated with a net decrease in the strength of such beliefs over the study period. Additionally, we asked whether subsequent changes in pandemic conspiracy beliefs related to the use of media were also related to subsequent mask wearing and vaccination intentions. METHODS: A survey that we conducted with a national US probability sample in March of 2020 and again in July with the same 840 respondents assessed belief in pandemic-related conspiracies, use of various types of media information sources, actions taken to prevent the spread of the disease and intentions to vaccinate, and various demographic characteristics. Change across the two waves was analyzed using path analytic techniques. RESULTS: We found that conservative media use predicted increase in conspiracy beliefs (ß=.17, 99% CI .10-.25) and that reliance on mainstream print predicted decrease in their belief, ß=-.08, 99% CI, -.14 to -.02. Although many social media platforms reported downgrading or removing false or misleading content, ongoing use of them by respondents predicted growth in conspiracy beliefs, as well ß=.072, 99% CI .018-.123. Importantly, conspiracy belief changes related to media use between the two waves of the study were associated with the uptake of mask wearing and changes in vaccination intentions in July. Unlike other media, mainstream broadcast TV predicted greater mask wearing (ß =.17, 99% CI .09-.26) and vaccination intention (ß=.08, 95% CI .02-.14) independent of conspiracy beliefs. CONCLUSIONS: The findings point to the need for greater efforts on the part of commentators, reporters, and guests on conservative media to report verifiable information about the pandemic. They suggest as well that social media platforms need to be more aggressive in downgrading, blocking, and counteracting claims about Covid-19 vaccines, mask wearing and conspiracy beliefs that have been judged problematic by public health authorities.
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Authors: Kathleen Hall Jamieson; Daniel Romer; Patrick E Jamieson; Kenneth M Winneg; Josh Pasek Journal: Proc Natl Acad Sci U S A Date: 2021-12-28 Impact factor: 11.205