Seonhye Noh

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Seonhye Noh

Graduate Student

Personal Website

Biography

Seonhye Noh is a Ph.D. candidate in Communication at UCLA. She studies digital news engagement in the context of platform algorithms and affordances, focusing on key aspects of digital information dynamics such as news viewing, selection, consumption, and participation. She also examines how users’ news engagement interacts with their predispositions, such as negativity bias and partisanship. She draws on large-scale digital trace data, experiments, and computational methods like large language models and network analysis. Her work bridges computational approaches with communication theory to advance understanding of digital media ecosystems and their political implications.

Research

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

Selected Publications

Noh, S., & Soroka, S. (forthcoming). Negativity Biases Online: The Interplay of Individuals and Algorithms in News Consumption. Journal of Media Psychology.

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

Noh, S., Soroka, S., & Bordes, Z. Screen Size and News Engagement. Work in progress.

Noh, S. Human-Algorithm Temporal Interactions on Mobile News Feeds. Work in progress.

Noh, S. Expressive News Preferences: Identity-Signaling in News Selection. Under review.

Noh, S., & Soroka, S. Engaging to Oppose: Cross-Cutting Patterns in Hostile News Commentary. Under review.

Kernell, G., & Noh, S. The AI Referee: How Online Interventions Shape Incivility and User Engagement in News Discussions. Under review.

Kim, S., & Noh, S. Disproportionate Voices: Participation Inequality and Hostile Engagement in News Comments. Under review.

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