How shades of truth and age affect responses to COVID-19 (Mis)information: randomized survey experiment among WhatsApp users in UK and Brazil
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DOI: 10.1057/s41599-021-00752-7
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- Ian Skurnik & Carolyn Yoon & Denise C. Park & Norbert Schwarz, 2005. "How Warnings about False Claims Become Recommendations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 31(4), pages 713-724, March.
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- Yanan Xu & Yunhai Dai, 2022. "Immersive Disaster Training Schema Based on Team Role-Playing," Sustainability, MDPI, vol. 14(19), pages 1-13, October.
- Ammara Malik & Faiza Bashir & Khalid Mahmood, 2023. "Antecedents and Consequences of Misinformation Sharing Behavior among Adults on Social Media during COVID-19," SAGE Open, , vol. 13(1), pages 21582440221, January.
- Annah Lake Zhu & Ruishan Chen & Jessica Rizzolo & Xiaodan Li, 2023. "The Politicization of COVID-19 Origin Stories: Insights from a Cross-Sectional Survey in China," Societies, MDPI, vol. 13(2), pages 1-20, February.
- Cun Fu & Jinru Zhang & Xin Kang, 2024. "True or false? Linguistic and demographic factors influence veracity judgment of COVID-19 rumors," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-7, December.
- Ryan C. Moore & Ross Dahlke & Jeffrey T. Hancock, 2023. "Exposure to untrustworthy websites in the 2020 US election," Nature Human Behaviour, Nature, vol. 7(7), pages 1096-1105, July.
- Divine Q. Agozie & Muesser Nat, 2022. "Do communication content functions drive engagement among interest group audiences? An analysis of organizational communication on Twitter," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
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