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Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine
11 references·1 citing·51 second hop
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine (2024)Few-shot learning for automated content a…Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda (2021)Three Gaps in Computational T…From frequency counts to contextualized word embeddings (2021)From frequency counts to cont…Proportional Classification Revisited: Automatic Content Analysis of Political Manifestos Using Active Learning (2018)Proportional Classification R…Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence (2017)Neutralizing misinformation t…On the Role of Discourse Markers for Discriminating Claims and Premises in Argumentative Discourse (2015)On the Role of Discourse Mark…Conceptualizing viewpoint diversity in news discourse (2015)Conceptualizing viewpoint div…Balanced or Biased? Interest Groups and Legislative Lobbying in the European News Media (2015)Balanced or Biased? Interest …Fact Checking: Task definition and dataset construction (2014)Fact Checking: Task definitio…IDENTIFYING JUSTIFICATIONS IN WRITTEN DIALOGS BY CLASSIFYING TEXT AS ARGUMENTATIVE (2011)IDENTIFYING JUSTIFICATIONS IN…Argumentation Theory: A Very Short Introduction (2009)Argumentation Theory: A Very …Diversity in the News: A Conceptual and Methodological Framework (1996)Diversity in the News: A Conc…Argument Mining for Organizational Research: A Computer-Aided Analysis of Organizational Talk (2026)Argument Mining for Organizat…Rhetorical Structure Theory: Toward a functional theory of text organization (1988)Toward a synthesis of two accounts of discourse structure (1996)Argumentation Mining in Persuasive Essays and Scientific Articles from the Discourse Structure Perspective. 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References

  • 2017Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence971 cited
  • 2014Fact Checking: Task definition and dataset construction401 cited
  • 2021Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda183 cited
  • 1996Diversity in the News: A Conceptual and Methodological Framework161 cited
  • 2009Argumentation Theory: A Very Short Introduction123 cited
  • 2015Balanced or Biased? Interest Groups and Legislative Lobbying in the European News Media104 cited
  • 2015Conceptualizing viewpoint diversity in news discourse91 cited
  • 2015On the Role of Discourse Markers for Discriminating Claims and Premises in Argumentative Discourse78 cited
  • 2011IDENTIFYING JUSTIFICATIONS IN WRITTEN DIALOGS BY CLASSIFYING TEXT AS ARGUMENTATIVE57 cited
  • 2018Proportional Classification Revisited: Automatic Content Analysis of Political Manifestos Using Active Learning33 cited
  • 2021From frequency counts to contextualized word embeddings10 cited

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  • 2026Argument Mining for Organizational Research: A Computer-Aided Analysis of Organizational Talk1 cited

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