Research Folder

Contents of the Research Folder

This folder contains the principal research themes of Matsui Lab. We work at the intersection of computational social science and web information studies. We use digital trace data, statistical inference, and machine learning to ask social-scientific questions about behavior, communication, and knowledge.

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Platforms & user behavior

How do design, recommendation, and incentives shape what we read, watch, and share? We combine behavioral logs with quasi-experimental designs to disentangle attention, selection, and treatment.

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Wikipedia & knowledge at scale

From Wikipedia editing to academic publishing, we study how distributed communities cooperatively create knowledge — and where systematic gaps emerge (e.g., urban–rural disparities in coverage).

Text, language & embeddings

Word embeddings, topic models, and large language models as instruments for measuring social and economic constructs — including monetary policy, political communication, and ideology.

Harmful & toxic behavior

Detection and analysis of toxic, deceptive, or coordinated activity online — including the often-overlooked role of fans as a source of toxic communication.