What’s Worthy of Comment? Content and Comment Volume in Political Blogs

Tae Yano · Noah A. Smith

125 citations0/0 files storedProceedings of the International AAAI Conference on Web and Social Media

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Social Media and Politics

Abstract

In this paper we aim to model the relationship be- tween the text of a political blog post and the comment volume—that is, the total amount of response—that a post will receive. We seek to accurately identify which posts will attract a high-volume response, and also to gain insight about the community of readers and their interests. We design and evaluate variations on a latent- variable topic model that links text to comment volume.

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References

2009A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases

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2021What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media 2014Inferring User Political Preferences from Streaming Communications 2021The Prevalence of Political Discourse in Non-Political Blogs 2019On the dynamics of user engagement in news comment media 2018Text-Driven Forecasting 2025Text as Actuator: Text-Driven Response Modeling and Prediction in Politics

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