UC Merced

Misogynist extremism has increasingly become a topic of concern for many researchers. Most research on misogynist extremism examines the online context that encourages the development of related ideologies. Using secondary data from a multitude of government and non-government sources, such as the Profiles of Individual Radicalization in the United States (PIRUS) and the American Community Survey (ACS), I conduct logistic regression and qualitative comparative analysis (QCA) to examine the regional factors that are associated with misogynist extremist presence in a county. I argue that gender-related, race-related, and economic regional factors help cultivate a hypermasculine social climate prime for misogynist radicalization. In the full regression model, only militia group presence is associated with misogynist extremist presence in a county. No sets were identified as true according to the inclusion ratio for sufficiency or the coverage of the outcome measure under QCA. Overall, there is some support that gender-related regional factors may contribute to misogynist radicalization.