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Two Computational Models for Analyzing Political Attention in Social Media
Proceedings of the ... International AAAI Conference on Weblogs and Social Media
Understanding how political attention is divided and over what subjects is crucial for research on areas such as agenda setting, framing, and political rhetoric. Existing methods for measuring attention, such as manual labeling according to established codebooks, are expensive and can be restrictive. We describe two computational models that automatically distinguish topics in politicians' social media content. Our models—one supervised classifier and one unsupervised topic model—providedoi:10.1609/icwsm.v14i1.7297 fatcat:wmpev7g4snfklp6qonzaixnw2q