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This is talk co-sponsored by the NULab for Texts, Maps, and Networks, the Network Science Institute and the Shorenstein Center.

Research indicates women have less influence than men in a variety of professional settings, including politics. We conducted a field experiment on a social media platform where Democrats were randomly assigned female or male avatar before discussing their preferred candidate for the 2020 presidential primary election. By measuring changes in people’s preferences before and after they are exposed to these avatars, we examine how gender stereotypes and gendered language contribute to political persuasion.