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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. Recently, I have been investigating the challenges that such social justice voices are facing in the contemporary media and political environment, such as politicization of social justice causes, online hate and violence, and targeted mis/disinformation.

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.

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