Understanding Group Attitudes

My second project is motivated by recent work at the intersection of research on culture, inequality, and social psychology. It asks the question, How (if at all) are group attitudes interrelated? Sociologists and social psychologists have long shown tremendous interest in such attitudes, particularly towards minority or non-normative groups, including racial groups, immigrants, women, various religious groups, members of the LGBTQ community, poor and homeless people, and political liberals and conservatives. Yet the vast majority of these studies explore attitudes towards one or only a few social groups, thereby implicitly assuming that attitudes towards social groups are independent of each other, at least across different domains (e.g. race, gender, religion, etc.). Since negative attitudes may promote discrimination, limit coalition building, and increase the propensity for inter-group antagonism, competition, and conflict, uncertainty about their degree and nature represents a cause for concern. To address this gap, I utilize machine learning methods with national survey data to explore the relationship between different group attitudes. I also investigate the temporal evolution and predictors of those shared understandings.