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Effects of brief exposure to misinformation about e-cigarette harms on Twitter on knowledge and perceptions of e-cigarettes

BACKGROUND: This study examined whether exposure to misinformation found on Twitter about e-cigarette harms leads to inaccurate knowledge and misperceptions of harms of e-cigarette use among cigarette smokers. METHODS: We conducted an online randomized controlled experiment in November 2019 among an...

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Detalles Bibliográficos
Autores principales: Liu, Jessica, Wright, Caroline, Elizarova, Olga, Dahne, Jennifer, Bian, Jiang, Williams, Philippa, Zulkiewicz, Brittany, Tan, Andy SL
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350525/
https://www.ncbi.nlm.nih.gov/pubmed/35935711
http://dx.doi.org/10.1177/20552076221116780
Descripción
Sumario:BACKGROUND: This study examined whether exposure to misinformation found on Twitter about e-cigarette harms leads to inaccurate knowledge and misperceptions of harms of e-cigarette use among cigarette smokers. METHODS: We conducted an online randomized controlled experiment in November 2019 among an online sample of 2400 adult US and UK cigarette smokers who did not currently use e-cigarettes. Participants viewed four tweets in one of four conditions: 1) e-cigarettes are as or more harmful than smoking, 2) e-cigarettes are completely harmless, 3) e-cigarette harms are uncertain and 4) control (physical activity). Outcomes were knowledge about e-cigarettes and harm perceptions of e-cigarette use for five diseases. We conducted multiple logistic and linear regressions to analyze the effect of experimental conditions on outcomes, controlling for baseline knowledge and perceived harms. FINDINGS: Participants in the ‘as or more harmful’ condition (vs. control group) had higher odds of accurate knowledge about e-cigarettes containing toxic chemicals (p < 0.001), not containing only water vapor (p < 0.001) and containing formaldehyde (p < 0.001). However, these participants had lower odds of accurate knowledge that e-cigarettes did not contain tar (p < 0.001) and contained fewer toxins than cigarettes (p < 0.001). Exposure to ‘as or more harmful’ tweets also increased harm perceptions for five diseases (all p < 0.001), with the greatest effect observed for lung cancer (β = 0.313, p < 0.001). This effect was greater among UK participants for all diseases. INTERPRETATION: Brief exposure to misinformation on Twitter reduced accurate knowledge of the presence of tar and the level of toxins compared with smoking and increased harm perceptions of e-cigarette use.