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What’s Worthy of Comment? Content and Comment Volume in Political Blogs
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What’s Worthy of Comment? Content and Comment Volume in Political Blogs (2010)What’s Worthy of Comment? Content and Com…A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases (2009)A Bayesian Hierarchical Topic…Text as Actuator: Text-Driven Response Modeling and Prediction in Politics (2025)Text as Actuator: Text-Driven…What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media (2021)What's in a Name? Understandi…The Prevalence of Political Discourse in Non-Political Blogs (2021)The Prevalence of Political D…On the dynamics of user engagement in news comment media (2019)On the dynamics of user engag…Text-Driven Forecasting (2018)Text-Driven ForecastingInferring User Political Preferences from Streaming Communications (2014)Inferring User Political Pref…LogUCB (2012)LogUCBPredicting the Future with Social Media (2010)You had me at hello: How phrasing affects memorability (2012)Echoes of Persuasion: The Effect of Euphony in Persuasive Communication (2015)Attention-grabbing news coverage: Violent images of the Black Lives Matter movement and how they attract user attention on Reddit (2023)Bandit Processes and Dynamic Allocation Indices (1979)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Information credibility on twitter (2011)How to Analyze Political Attention with Minimal Assumptions and Costs (2009)Estimating Dynamic State Preferences from United Nations Voting Data (2013)Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation (2014)A Model of Text for Experimentation in the Social Sciences (2016)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Twitter use by the U.S. Congress (2010)Predicting the Political Alignment of Twitter Users (2011)The role of personality, age, and gender in tweeting about mental illness (2015)Quantifying Political Leaning from Tweets, Retweets, and Retweeters (2016)Multitask Learning for Mental Health Conditions with Limited Social Media Data (2017)A Coefficient of Agreement for Nominal Scales (1960)The Measurement of Observer Agreement for Categorical Data (1977)Bowling alone: the collapse and revival of American community (2000)Navigating Imagined Audiences (2015)#refugeesnotwelcome: Anti-refugee discourse on Twitter (2017)Encouraging Reading of Diverse Political Viewpoints with a Browser Widget (2021)A NEW MEASURE OF RANK CORRELATION (1938)The case for motivated reasoning. (1990)Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)The origin of bursts and heavy tails in human dynamics (2005)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)YouTube Ortamındaki Haberciliği Haritalandırmak: Gazetecilerin YouTube Haber Kanalları Üzerine Tanımlayıcı Bir Çalışma (2021)Predicting response to political blog posts with topic models (2009)Predicting risk from financial reports with regression (2009)
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References

  • 2009A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases552 cited

Cited by

  • 2021What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media120 cited
  • 2014Inferring User Political Preferences from Streaming Communications119 cited
  • 2021The Prevalence of Political Discourse in Non-Political Blogs40 cited
  • 2012LogUCB29 cited
  • 2019On the dynamics of user engagement in news comment media27 cited
  • 2018Text-Driven Forecasting9 cited
  • 2025Text as Actuator: Text-Driven Response Modeling and Prediction in Politics1 cited

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