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Messaging about corruption

The power of social norms

Bibliographic Data

ID6264014
AuthorsMattias Agerberg (0000-0001-7813-6109, University of Gothenburg Gothenburg Sweden, corresponding author)
Year2022
Volume35
Issue3
Pages929-950
Publication date2022-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGovernance (JOURNAL)
Journal identifiersISSN: 0952-1895 • E-ISSN: 1468-0491
PublisherWiley (PUBLISHER • GB)
DOI10.1111/gove.12633
OpenAlexW3195297198
LanguageEN
Citations received20
References cited47

While commonly deployed in anti‐corruption programs, corruption messaging has shown limited success. I argue that strategies focusing on injunctive norms (what most people approve of) have been underutilized and could be a feasible way of influencing perceptions in a desirable direction. In two studies fielded in Mexico, I first identify a substantial discrepancy between how individuals view the permissibility of corruption and their perceptions of other people's attitudes. In a follow‐up preregistered experiment, I leverage this tension by randomly informing a treatment group about people's strong anti‐corruption attitudes. The results show that the treatment group became significantly more positive with regard to the attitudes of others. Moreover, they report higher interpersonal trust, are less likely view corruption as a basic part of Mexican culture, and show lower willingness to bribe. The study contributes to our understanding of corruption as a social phenomenon and provides insights about how to construct effective anti‐corruption messages

Construct (python library · Interpersonal communication · Language change · Leverage (statistics · Perception · Phenomenon · Political science · Power (physics · Public relations · Computer Science · Corruption and Economic Development · Experimental Behavioral Economics Studies · Media Influence and Politics · Psychology · Social Psychology

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Unique citing works20
Citations per year5
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 18

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