Seonhye Noh

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Seonhye Noh

Graduate Student

Biography

Seonhye’s research explores large-scale digital trace data to understand how individuals engage in information processes behind the screens of digital media. Her work focuses on key aspects of digital information dynamics, including dissemination, selection, consumption, and participation. She also examines cognitive and social biases, such as negativity bias and partisanship, that shape digital information engagement. Leveraging methods like natural language processing, network analysis, and survey experiments, Seonhye bridges computational techniques with communication theories, contributing to an understanding of digital media ecosystems and their societal implications.

Research

Digital media; digital trace data; media selectivity; political communication; computational social science

Selected Publications

Noh, S. Funnel of Digital Engagement: Examining News Selectivity from Viewing to Selection to Consumption on a Mobile App [Work in progress].

Noh, S. Expressive News Preferences: Biased Responding Toward Attitude-Consistent News in Self-Indicated Preferences [Under review].

Noh, S., & Soroka, S. Valence-Based Biases in News Selection: Trait vs State Level Differences in Real-World News Consumption [Under review].

Noh, S., & Soroka, S. Hostile Encounters: Exploring Confrontational Engagement with Counter-Attitudinal News [Under review].

Kim, S., & Noh, S. Digital Participation Divide and Hostility in News Comments: Frequent Commenters versus Infrequent Commenters [Under review].

Kernell, G., & Noh, S. How Online Interventions Shape User Engagement and Incivility in Korea [Work in progress].

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