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1.
Sci Rep ; 13(1): 14051, 2023 08 28.
Article En | MEDLINE | ID: mdl-37640702

Women have less influence than men in a variety of settings. Does this result from stereotypes that depict women as less capable, or biased interpretations of gender differences in behavior? We present a field experiment that-unbeknownst to the participants-randomized the gender of avatars assigned to Democrats using a social media platform we created to facilitate discussion about the 2020 Primary Election. We find that misrepresenting a man as a woman undermines his influence, but misrepresenting a woman as a man does not increase hers. We demonstrate that men's higher resistance to being influenced-and gendered word use patterns-both contribute to this outcome. These findings challenge prevailing wisdom that women simply need to behave more like men to overcome gender discrimination and suggest that narrowing the gap will require simultaneous attention to the behavior of people who identify as women and as men.


Social Media , Stereotypic Movement Disorder , Female , Humans , Male , Persuasive Communication , Sexism
2.
Nat Hum Behav ; 7(9): 1454-1461, 2023 09.
Article En | MEDLINE | ID: mdl-37604989

Do anonymous online conversations between people with different political views exacerbate or mitigate partisan polarization? We created a mobile chat platform to study the impact of such discussions. Our study recruited Republicans and Democrats in the United States to complete a survey about their political views. We later randomized them into treatment conditions where they were offered financial incentives to use our platform to discuss a contentious policy issue with an opposing partisan. We found that people who engage in anonymous cross-party conversations about political topics exhibit substantial decreases in polarization compared with a placebo group that wrote an essay using the same conversation prompts. Moreover, these depolarizing effects were correlated with the civility of dialogue between study participants. Our findings demonstrate the potential for well-designed social media platforms to mitigate political polarization and underscore the need for a flexible platform for scientific research on social media.


Politics , Social Media , Humans , United States , Communication , Motivation , Surveys and Questionnaires
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