Networked communication, social trust, and activism
Focusing on the shifting communication environment, this line of research investigates the temporal dynamics of (mis/dis)information flows in the networked environment and how they shape understandings of dissimilar social groups and activism among marginalized populations.
A prominent line of inquiry looks at the role of networked communication in gendered justice and surrounding political discourses, as in the case of #MeToo movement.
Context, community, and polarization
I examine how social contexts and structural inequalities surrounding individuals interplay with networked communication flows to shape political judgments about different social and political groups. I emphasize the importance of understanding communication patterns and public opinion formation across differing levels of social, cultural, and political structures.
Computational social science
Throughout my research, I employ computational approaches to identify networked communication flows, often triangulating with other social science methods from quantitative (survey, content analysis) to qualitative (text analysis, interviews).
In particular, I use natural language processing, network analysis, community detection, supervised/unsupervised machine learning, and spatial analysis.