As a computational social scientist and strategic communication scholar, I study how media, digital platforms, and emerging technologies shape attitudes, behaviors, identities, and decision-making, with particular attention to health, representation, and social issues. I combine media effects, persuasion, strategic communication, and computational social science, using large-scale data alongside experiments and mixed-method approaches.
AI-generated communication, large language models, human-AI interaction, information integrity, and virtual influencers, and what these shifts mean for persuasion, authenticity, and trust.
Public relations, advertising, persuasion, branding, campaigns, and audience effects, including consumer responses to performative advertising and representation in strategic communication.
Reproductive health, online health communities, health misinformation, information seeking, and social support, including how for-profit actors disguise persuasion as peer support.
Gender, representation, digital activism, LGBTQIA+ communities, cross-cultural communication, and online identity, with attention to marginalized communities and the Global South.
A human-in-the-loop approach to validating large language model classifications in sensitive communication contexts, developed to bring rigor and transparency to computational text analysis in health and social domains.
A full list of manuscripts under review and works in progress appears in the CV.