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Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
12 references·3 citing·48 second hop
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The …Model Cards for Model Reporting (2019)Model Cards for Model Reporti…Measurement error and the replication crisis (2017)Measurement error and the rep…Using Supervised Machine Learning to Code Policy Issues (2015)Using Supervised Machine Lear…Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis (2014)Teaching the Computer to Code…Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…Thematic content analysis using supervised machine learning: An empirical evaluation using German online news (2011)Thematic content analysis usi…A Method of Automated Nonparametric Content Analysis for Social Science (2009)A Method of Automated Nonpara…Monte Carlo Simulation (1997)Monte Carlo SimulationRethinking Scaling Up Content Analysis: A Reappraisal of Justifications and Practices for Large-Scale Content Analysis (2025)Rethinking Scaling Up Content…Estimating and Correcting for Misclassification Error in Empirical Textual Research (2024)Estimating and Correcting for…Editorial to the Special Issue: (Re)Establishing quality criteria for content analysis: A critical perspective on the field’s core method (2023)Editorial to the Special Issu…Content Analysis: An Introduction to its Methodology. 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References

  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2009A Method of Automated Nonparametric Content Analysis for Social Science762 cited
  • 1997Monte Carlo Simulation677 cited
  • 2017Measurement error and the replication crisis628 cited
  • 2021Machine Learning for Social Science: An Agnostic Approach324 cited
  • 2021The Distorting Prism of Social Media: How Self-Selection and Exposure to Incivility Fuel Online Comment Toxicity220 cited
  • 2021Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda183 cited
  • 2020In Validations We Trust? The Impact of Imperfect Human Annotations as a Gold Standard on the Quality of Validation of Automated Content Analysis123 cited
  • 2014Teaching the Computer to Code Frames in News: Comparing Two Supervised Machine Learning Approaches to Frame Analysis114 cited
  • 2011Thematic content analysis using supervised machine learning: An empirical evaluation using German online news109 cited
  • 2015Using Supervised Machine Learning to Code Policy Issues98 cited

Cited by

  • 2023Editorial to the Special Issue: (Re)Establishing quality criteria for content analysis: A critical perspective on the field’s core method5 cited
  • 2024

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Estimating and Correcting for Misclassification Error in Empirical Textual Research
2 cited
  • 2025Rethinking Scaling Up Content Analysis: A Reappraisal of Justifications and Practices for Large-Scale Content Analysis1 cited