Research on mental health beliefs and behaviors

The primary component of my research trajectory applies a cultural sociology lens to contextualize long-term trends in mental health and treatment in the United States. I focus on changing understandings and beliefs at the macro level and how they influence individuals’ behaviors and decision-making

In my dissertation (and first book project), I use computational and qualitative text analysis and custom text datasets to analyze how news media and individuals think about and make sense of mental health and illness over time. In the first part, I employ a corpus of over 100,000 newspaper articles from 1980 to 2020, structural topic modeling, and close reading to analyze framings of mental health and illness in the news media. With the same corpus, I also utilize word embeddings to measure the meanings of mental health terminology across dimensions of normality, deviance, race, and gender. In the second part of the dissertation, I use a contemporary corpus of Reddit posts to assess how people make sense of their mental health experiences. I use network analysis combined with topic modeling and close reading to analyze how cultural frames and interactions shape the language people use to discuss mental health.

My other research on mental health uses the National Health Interview Survey to assess trends in psychological distress and treatment-seeking behaviors.

Research on gender beliefs

In collaborative research conducted through the VMWare Women’s Leadership Innovation Lab, I explore how young adults’ gender beliefs are informed by cultural ideas of individualism and agency and contribute to persistent gender inequality by directing young adults away from structural solutions. The project, which uses longitudinal interview and survey data, is still ongoing and findings have been published in Social Problems and Sociological Perspectives.