TY  - RPRT
        AU  - Khan, Nuzaina
AU  - Rand, David
AU  - Shurchkov, Olga
        TI  - He Said, She Said: Who Gets Believed When Spreading (Mis)Information
        PY  - 2024/Sep/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 17282
        UR  - https://www.iza.org/publications/dp17282
        AB  - 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.

        KW  - gender differences
KW  - misinformation
KW  - economic experiments
        ER  -