COVID-19 information: Does political affiliation impact consumer perceptions of trust in the source and intent to comply?

Haytko, Diana L.; Mai, Enping; Taillon, Brian J.

doi:10.1080/07359683.2021.1986996

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Several studies have found political affiliation is a strong predictor of adopting COVID-19 prevention measures such as social distancing and mask wearing [ 2 , 8 , 22 , 23 , 34 , 35 ]. COVID-19 misinformation delivered through different social and news media platforms aligning with certain political ideations have been found to influence acceptance of government public health messaging regarding mitigation measures including vaccination [ 9 , 13 , 22 ].…”

Section: Discussionmentioning

confidence: 99%

“…[ 18 ] Religious beliefs and political affiliation have been associated with suspicion surrounding COVID-19. [ 19 – 22 ] Furthermore, political affiliation influences individuals’ selection of health information sources, leaving room for misinterpretation of scientific recommendations on mitigation practices [ 23 ]. Few studies have investigated trust in science and scientists among students, staff and faculty within a university [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

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Trust in science and scientists among university students, staff, and faculty of a large, diverse university in Los Angeles during the COVID-19 pandemic, the Trojan Pandemic Response Initiative

et al. 2023

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Background Mistrust in science and scientists may adversely influence the rate of COVID-19 vaccination and undermine public health initiatives to reduce virus transmission. Methods Students, staff and faculty responded to an email invitation to complete an electronic survey. Surveys included 21-items from the Trust in Science and Scientists Inventory questionnaire. Responses were coded so higher scores indicated a higher trust in science and scientists, A linear regression model including sex, age group, division, race and ethnicity, political affiliation, and history of COVID-19, was used to determine variables significantly associated with trust in science and scientists scores at the p < 0.05 level. Results Participants were mostly female (62.1%), Asian (34.7%) and White (39.5%) and students (70.6%). More than half identified their political affiliation as Democrat (65%). In the final regression model, all races and ethnicities had significantly lower mean trust in science and scientists scores than White participants [Black ($$B$$= -0.42, 95% CI: -0.55, -0.43, p < 0.001); Asian ($$B$$= -0.20, 95% CI: -0.24, -0.17, p < 0.001); Latinx ($$B$$= -0.22, 95% CI: -0.27, -0.18, p < 0.001); Other ($$B$$= -0.19, 95% CI: -0.26, -0.11, p < 0.001)]. Compared to those identifying as Democrat, all other political affiliations had significantly lower mean scores. [Republican ($$B$$ =-0.49, 95% CI: -0.55, -0.43, p < 0.0001); Independent ($$B$$ =-0.29, 95% CI: -0.33, -0.25, p < 0.0001); something else ($$B$$ =-0.19, 95% CI: -0.25, -0.12, p < 0.0001)]. Having had COVID-19 ($$B$$= -0.10, 95% CI: -0.15, -0.06, p < 0.001) had significantly lower scores compared to those who did not have COVID-19. Conclusion Despite the setting of a major research University, trust in science is highly variable. This study identifies characteristics that could be used to target and curate educational campaigns and university policies to address the COVID19 and future pandemics.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trust in science and scientists among university students, staff, and faculty of a large, diverse university in Los Angeles during the COVID-19 pandemic, the Trojan Pandemic Response Initiative

et al. 2023

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COVID-19 preventive behaviors and digital health communication media usage model

Afifi,

Bakti,

Yaman

et al. 2023

Cogent Social Sciences

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Memes, Memes, Everywhere, nor Any Meme to Trust: Examining the Credibility and Persuasiveness of COVID-19-Related Memes

Wasike

2022

Journal of Computer-Mediated Communication

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This study used an experimental design to examine the credibility and persuasiveness of COVID-19-related Internet memes. The study used a random sample of U.S. social media users (N = 1,200) with source credibility as the theoretical framework. Results indicate that memes with expert source attribution are more credible than those with nonexpert source attribution. The same applies to the persuasiveness of the memes. Memes with an objective message tone are also more credible and persuasive than those with a subjective message tone. Additionally, there is a positive correlation between the credibility of a meme and its persuasiveness. Age correlates inversely with persuasion and pro-mask/vaccine memes are more credible and persuasive than anti-mask/vaccines memes. These results have implications regarding COVID-19 messaging as well as on meme-based communication.

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COVID-19 information: Does political affiliation impact consumer perceptions of trust in the source and intent to comply?

Cited by 3 publications

References 27 publications

Trust in science and scientists among university students, staff, and faculty of a large, diverse university in Los Angeles during the COVID-19 pandemic, the Trojan Pandemic Response Initiative

Trust in science and scientists among university students, staff, and faculty of a large, diverse university in Los Angeles during the COVID-19 pandemic, the Trojan Pandemic Response Initiative

COVID-19 preventive behaviors and digital health communication media usage model

Memes, Memes, Everywhere, nor Any Meme to Trust: Examining the Credibility and Persuasiveness of COVID-19-Related Memes

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