TY - JOUR
T1 - Social media narratives can influence vaccine intentions
T2 - The impact of depicting regret and character death
AU - Pokharel, Manusheela
AU - Lillie, Helen M.
AU - Nagatsuka, Kirara
AU - Barbour, Joshua B.
AU - Ratcliff, Chelsea L.
AU - Jensen, Jakob D.
N1 - Funding Information:
Manusheela Pokharel is an Assistant Professor and Kirara Nagatsuka is a graduate student in the Department of Communication Studies at Texas State University. Helen M. Lillie is an Assistant Professor in the Department of Communication Studies at the University of Iowa. Joshua B. Barbour is an Associate Professor in the Department of Communication Studies at the University of Texas at Austin. Chelsea L. Ratcliff is an Assistant Professor in the Department of Communication Studies at the University of Georgia. Jakob D. Jensen is a Professor in the Department of Communication at the University of Utah. This manuscript was written with support from National Institutes of Health (NIH) under award number 1DP2EB022360-01 (PI: J. Jensen), NIH grant under award number 3P30CA042014-29S7 (PI: J. Jensen), and the Immunology, Inflammation, and Infectious Disease Initiative (PIs: J. Jensen & A. J. King).
Funding Information:
This manuscript was written with support from National Institutes of Health (NIH) under award number 1DP2EB022360-01 (PI: J. Jensen), NIH grant under award number 3P30CA042014-29S7 (PI: J. Jensen), and the Immunology, Inflammation, and Infectious Disease Initiative (PIs: J. Jensen & A. J. King).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/4
Y1 - 2023/4
N2 - Anticipated regret, the feeling that we might regret a decision in the future, has been identified as a strong predictor of vaccination behavior, and the proliferation of anticipated regret appeals underscores the need for the empirical study of messages that target regret. The current study evaluated the persuasiveness of narrative depictions of regret and character death on COVID-19 booster vaccine intention. Data were collected from 944 adults in a 2 (no depicted regret, depicted regret) × 2 (character survives, dies) between-participants online message experiment. Results demonstrated that depicting regret had a positive effect on booster vaccine intention, especially among Republicans. Moderated serial mediation analysis supported a model where depicted regret had a positive effect on booster vaccine intention via audience replotting of story events and anticipated regret. While this persuasive process occurred for both Republicans and Democrats, the pathway was stronger for Republicans. Additionally, messages depicting character death produced greater anticipated regret. We discuss the theoretical and practical implications of these results.
AB - Anticipated regret, the feeling that we might regret a decision in the future, has been identified as a strong predictor of vaccination behavior, and the proliferation of anticipated regret appeals underscores the need for the empirical study of messages that target regret. The current study evaluated the persuasiveness of narrative depictions of regret and character death on COVID-19 booster vaccine intention. Data were collected from 944 adults in a 2 (no depicted regret, depicted regret) × 2 (character survives, dies) between-participants online message experiment. Results demonstrated that depicting regret had a positive effect on booster vaccine intention, especially among Republicans. Moderated serial mediation analysis supported a model where depicted regret had a positive effect on booster vaccine intention via audience replotting of story events and anticipated regret. While this persuasive process occurred for both Republicans and Democrats, the pathway was stronger for Republicans. Additionally, messages depicting character death produced greater anticipated regret. We discuss the theoretical and practical implications of these results.
KW - Anticipated regret
KW - COVID-19 vaccine
KW - Death narrative
KW - Depicted regret
KW - Regret regulation theory
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U2 - 10.1016/j.chb.2022.107612
DO - 10.1016/j.chb.2022.107612
M3 - Article
AN - SCOPUS:85145649980
SN - 0747-5632
VL - 141
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 107612
ER -