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Scenario-Based Messages on Social Media Motivate COVID-19 Information Seeking.
Sinclair, Alyssa H; Taylor, Morgan K; Davidson, Audra; Weitz, Joshua S; Beckett, Stephen J; Samanez-Larkin, Gregory R.
Affiliation
  • Sinclair AH; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
  • Taylor MK; Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
  • Davidson A; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Weitz JS; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Beckett SJ; School of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
  • Samanez-Larkin GR; Institut d'Biologie, École Normale Supérieure, Paris, France.
J Appl Res Mem Cogn ; 13(1): 124-135, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38655203
ABSTRACT
Communicating information about health risks empowers individuals to make informed decisions. To identify effective communication strategies, we manipulated the specificity, self-relevance, and emotional framing of messages designed to motivate information seeking about COVID-19 exposure risk. In Study 1 (N=221,829), we conducted a large-scale social media field study. Using Facebook advertisements, we targeted users by age and political attitudes. Episodic specificity drove engagement Advertisements that contextualized risk in specific scenarios produced the highest click-through rates, across all demographic groups. In Study 2, we replicated and extended our findings in an online experiment (N=4,233). Message specificity (but not self-relevance or emotional valence) drove interest in learning about COVID-19 risks. Across both studies, we found that older adults and liberals were more interested in learning about COVID-19 risks. However, message specificity increased engagement across demographic groups. Overall, evoking specific scenarios motivated information seeking about COVID-19, facilitating risk communication to a broad audience.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Appl Res Mem Cogn Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Appl Res Mem Cogn Year: 2024 Document type: Article Affiliation country: United States