Reducing Political Polarization with a Mobile Chat Platform
In a paper published in Nature Human Behavior, we found that chats between Democrats and Republicans on DiscussIt depolarized participants, regardless of whether we labeled their partisan affiliations accurately or inaccurately.
Perceived Gender and Political Persuasion: A Social Media Field Experiment during the 2020 US Democratic Presidential Primary Election
In a paper published in Nature Scientific Reports, we found that manipulating gender labels in conversations between Democrats about the candidates in the 2020 Democratic presidential primary affected participants’ influence. We found that mislabeling a woman’s gender decreased her influence and increased her propensity to be influenced, even though she did not know her gender was mislabeled–an indication of the complexity of the impacts of gender identity and expression on interaction.