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Measuring Ideological Proportions in Political Speeches
8 references·16 citing·37 second hop
Measuring Ideological Proportions in Political Speeches (2013)Measuring Ideological Proportions in Poli…Predicting Legislative Roll Calls from Text (2011)Predicting Legislative Roll C…Language and Ideology in Congress (2011)Language and Ideology in Cong…Computer-Assisted Topic Classification for Mixed-Methods Social Science Research (2008)Computer-Assisted Topic Class…Politicians and rhetoric: the persuasive power of metaphor (2005)Politicians and rhetoric: the…Extracting Policy Positions from Political Texts Using Words as Data (2003)Extracting Policy Positions f…Stability in Competition (1990)Stability in CompetitionAn Economic Theory of Democracy. (1958)An Economic Theory of Democra…On the Rationale of Group Decision-making (1948)On the Rationale of Group Dec…Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks (2023)Retweet-BERT: Political Leani…Handbook of Computational Social Science for Policy (2023)Handbook of Computational Soc…Natural Language Processing for Policymaking (2022)Natural Language Processing f…Understanding the Political Ideology of Legislators from Social Media Images (2020)Understanding the Political I…Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates (2019)Who Sides with Whom? Towards …What’s in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches (2019)What’s in a Word? Detecting P…Topic-Based Agreement and Disagreement in US Electoral Manifestos (2017)Topic-Based Agreement and Dis…Modeling of Political Discourse Framing on Twitter (2017)Modeling of Political Discour…Proceedings of the First Workshop on NLP and Computational Social Science (2016)Proceedings of the First Work…The Utility of Text: The Case of Amicus Briefs and the Supreme Court (2015)The Utility of Text: The Case…QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns (2015)QUOTUS: The Structure of Poli…QUOTUS (2015)QUOTUSModeling Ideology and Predicting Policy Change with Social Media (2015)Modeling Ideology and Predict…What does Twitter have to say about ideology? (2014)What does Twitter have to say…Staying on Topic: An Indicator of Power in Political Debates (2014)Staying on Topic: An Indicato…Identifying Media Frames and Frame Dynamics Within and Across Policy Issues (2013)Identifying Media Frames and …Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)Assessing agreement on classification tasks: the kappa statistic (1996)Comparative Studies of Policy Dynamics (2011)Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis (2014)Predicting and explaining corruption across countries: A machine learning approach (2019)The Theory of Committees and Elections. (1959)Ideology and Discontent (1964)Position Taking in European Parliament Speeches (2009)Institutional Foundations of Legislative Speech (2012)The Political Economy of Mass Media (2013)Applications of Item Response Theory To Practical Testing Problems (2012)How They Vote: Issue-Adjusted Models of Legislative Behavior (2012)Quantifying Political Leaning from Tweets, Retweets, and Retweeters (2016)Text as Policy: Measuring Policy Similarity through Bill Text Reuse (2018)The political blogosphere and the 2004 U.S. election (2005)Predicting the Political Alignment of Twitter Users (2011)Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Intelligent Disaster Response via Social Media Analysis A Survey (2017)Quantifying Content Polarization on Twitter (2017)A Survey on Computational Politics (2020)Prospect theory: An analysis of decision under risk (1988)Framing: Toward Clarification of a Fractured Paradigm (1993)Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies (2018)Framing and immigration through the trump era (2019)Modeling Frames in Argumentation (2019)Can Charisma Be Taught? Tests of Two Interventions (2011)The study of metaphor as part of critical discourse analysis (2012)Análisis Crítico del Discurso (2016)A Rational Theory of the Size of Government (1981)A Survey of Corporate Governance (1997)Economic Origins of Dictatorship and Democracy (2005)West European Politics in the Age of Globalization (2008)Structural Topic Models for Open‐Ended Survey Responses (2014)Budget spillovers and fiscal policy interdependence (1993)The Theory of Incentives: The Principal-Agent Model (2001)Testing Theories of American Politics: Elites, Interest Groups, and Average Citizens (2014)Monopolistic Competition with Outside Goods (1979)
this work references cited by second hop

References

  • 1958An Economic Theory of Democracy.18,594 cited
  • 1990Stability in Competition5,677 cited
  • 1948On the Rationale of Group Decision-making2,461 cited
  • 2003Extracting Policy Positions from Political Texts Using Words as Data1,377 cited
  • 2005Politicians and rhetoric: the persuasive power of metaphor748 cited
  • 2011Language and Ideology in Congress169 cited
  • 2011Predicting Legislative Roll Calls from Text144 cited
  • 2008Computer-Assisted Topic Classification for Mixed-Methods Social Science Research138 cited

Cited by

  • 2013Identifying Media Frames and Frame Dynamics Within and Across Policy Issues60 cited
  • 2015QUOTUS57 cited
  • 2020Understanding the Political Ideology of Legislators from Social Media Images47 cited
  • 2023Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks38 cited
  • 2023Handbook of Computational Social Science for Policy36 cited
  • 2016Proceedings of the First Workshop on NLP and Computational Social Science35 cited
  • 2017Topic-Based Agreement and Disagreement in US Electoral Manifestos31 cited

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  • 2015Modeling Ideology and Predicting Policy Change with Social Media30 cited
  • 2015The Utility of Text: The Case of Amicus Briefs and the Supreme Court28 cited
  • 2014What does Twitter have to say about ideology?28 cited
  • 2022Natural Language Processing for Policymaking26 cited
  • 2014Staying on Topic: An Indicator of Power in Political Debates23 cited
  • 2019Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates22 cited
  • 2017Modeling of Political Discourse Framing on Twitter20 cited
  • 2015QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns17 cited
  • 2019What’s in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches14 cited