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      Political ideology and differences in seeking COVID-19 information on the internet: examining the comprehensive model of information seeking

      Online Information Review
      Emerald

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          Abstract

          Purpose

          Guided by the Comprehensive Model of Information Seeking (CMIS), this article identifies significant predictors that impact individuals seeking COVID-19 information. People with different political ideologies read contradictory information about the COVID-19 pandemic. However, how political ideology may affect COVID-19 information seeking remains unclear. This study explores the major information channels for individuals with different political ideologies to seek COVID-19 information. It further examines how political ideologies influence CMIS's effectiveness in predicting online health information-seeking.

          Design/methodology/approach

          This study collected 394 completed survey responses from adults living in the United States after the 2020 lockdown. ANOVA analyses revealed the differences in salience, beliefs, information carrier characteristics, utilities and information-seeking actions between Liberals and Conservatives. Regression analyses discovered variables that predict Liberals' and Conservatives' online health information seeking.

          Findings

          Results suggest that the internet is the top channel for COVID-19 information seeking. Compared to Conservatives, Liberals report more COVID-19 information-seeking actions. Liberals also express stronger salience, perceive higher trustworthiness of online COVID-19 information, are more likely to think of seeking online COVID-19 information as useful and helpful and report more substantial efficacy to mitigate the risk. Most CMIS variables predict Liberals' information seeking; however, only salience significantly predicts Conservatives' information seeking.

          Originality/value

          This article indicates that CMIS should include political ideology to refine its prediction of information seeking. These findings offer practical implications for designing health messages, enhancing information distribution and reducing the public's uncertainty.

          Peer review

          The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2022-0436.

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          Most cited references49

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          The Health Belief Model and Preventive Health Behavior

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            Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…

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              Political Ideology Predicts Perceptions of the Threat of COVID-19 (and Susceptibility to Fake News About It)

              The present research examined the relationship between political ideology and perceptions of the threat of COVID-19. Due to Republican leadership’s initial downplaying of COVID-19 and the resulting partisan media coverage, we predicted that conservatives would perceive it as less threatening. Two preregistered online studies supported this prediction. Conservatism was associated with perceiving less personal vulnerability to the virus and the virus’s severity as lower, and stronger endorsement of the beliefs that the media had exaggerated the virus’s impact and that the spread of the virus was a conspiracy. Conservatism also predicted less accurate discernment between real and fake COVID-19 headlines and fewer accurate responses to COVID-19 knowledge questions. Path analyses suggested that presidential approval, knowledge about COVID-19, and news discernment mediated the relationship between ideology and perceived vulnerability. These results suggest that the relationship between political ideology and threat perceptions may depend on issue framing by political leadership and media.
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                Author and article information

                Contributors
                Journal
                Online Information Review
                OIR
                Emerald
                1468-4527
                March 13 2023
                November 08 2023
                March 13 2023
                November 08 2023
                : 47
                : 7
                : 1280-1301
                Article
                10.1108/OIR-08-2022-0436
                498e9cb6-4e8b-4e59-8ba3-9eecb6c581ec
                © 2023

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