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Effects of Self-Affirmation, Narratives, and Informational Messages in Reducing Unrealistic Optimism About Alcohol-Related Problems Among College Students

Reducing Unrealistic Optimism

Bibliographic Data

ID2264236
AuthorsHye Kyung Kim (0000-0003-0870-147X, Wee Kim Wee School of Communication and Information; Nanyang Technological University; Singapore 637718), Jeff Niederdeppe (0000-0001-7686-1526, Department of Communication; Cornell University; Ithaca NY 14853 USA)
Year2016
Volume42
Issue2
Pages246-268
Publication date2016-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHuman Communication Research (JOURNAL)
Journal identifiersISSN: 0360-3989 • E-ISSN: 1468-2958
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/hcre.12073
OpenAlexW2142218600
LanguageEN
Citations received17
References cited49

This study examines intervention approaches to improve the accuracy of risk judgments among college students with unrealistic optimism about alcohol-related problems. We conducted a randomized experiment with 2 self-affirmation (affirmed, nonaffirmed) and 3 message conditions (narrative, informational, no treatment control). Results indicate that providing risk information to unrealistic optimists, while concomitantly protecting their self-concept via either self-affirmation or narratives, may reduce defensive reactions and align their perceived risk more closely with their actual risk. Self-affirmation reduced unrealistic optimism only among those exposed to an informational message, not those exposed to a narrative. The narrative message appeared to increase perceived risk among unrealistic optimists via transportation and identification with the character. We discuss theoretical and practical implications of this work

Higher education · Literature · Media studies · Narrative · Optimism · Political science · Sociology · Behavioral Health and Interventions · Media Influence and Health · Optimism, Hope, and Well-being · Psychology · Social Psychology

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Unique citing works17
Citations per year2,43
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 16

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