Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/305724 
Erscheinungsjahr: 
2024
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 17282
Verlag: 
Institute of Labor Economics (IZA), Bonn
Zusammenfassung: 
We design an online experiment that mimics a Twitter/X "feed" to test whether (perceived) poster gender influences users' propensity to doubt the veracity of a given post. On average, posts by women are less likely to be flagged as concerning than identical posts by men. Heterogeneity analysis reveals that men are more likely to flag female-authored posts as the post's topic domain becomes more male-stereotyped. Female users do not exhibit the same bias. Actual post veracity, user ideology, and user familiarity with Twitter do not explain the findings. Flagging behavior on Twitter's crowdsourced fact-checking program is consistent with these findings.
Schlagwörter: 
gender differences
misinformation
economic experiments
JEL: 
C90
D9
J16
L86
Dokumentart: 
Working Paper

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