The effects of narrative and statistical messaging about air quality

Bibliographic Data

ID21577213
AuthorsDima Farooq, Kushal Gautam, Zainab Hadi, Bailey Hardiman, Luisa Delgado Heinz, Seth Sanders (0000-0001-6810-3979), Sammie Serrano, Marisol Solis, Taylor Trent, Bobbie Wilde, Jared Williams (0000-0002-3399-756X), Benjamin Lyons (0000-0001-7096-900X, Schlumberger (Ireland), corresponding author)
Year2024
Volume41
Issue1
Pages12-24
Publication date2024-01-01
Open AccessNo
TypeARTICLE
VenueCommunication Research Reports (JOURNAL)
Journal identifiersISSN: 0882-4096 • E-ISSN: 1746-4099
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/08824096.2023.2282037
OpenAlexW4388734658
LanguageEN
Citations received1
References cited15

Air pollution is among the world’s greatest environmental health threats. Still, little strategic communication research has addressed it. We report two pre-registered experiments examining narrative and statistical message effects. Study 1 (N = 1,282, U.S.) showed little effect for either. Study 2 (N = 754, California), which accounted for potentially problematic design features of Study 1, found effects for both types across a range of attitudinal outcomes (emotional response, efficacy, risk). Narrative messaging also had a small effect on mitigation intention. Carefully designed messages may produce positive changes on this issue, but success depends on alignment between message construction, recommended behaviors, and audience relevance

Internet privacy · Narrative · Narrative review · Political science · Statistical analysis · Statistical significance · Text messaging · Applied Psychology · Behavioral Health and Interventions · Climate Change Communication and Perception · Computer Science · Media Influence and Health · Medicine · Psychology · Social Psychology

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