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Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning
16 references·4 citing·50 second hop
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References

  • 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks6,003 cited
  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2008A New Era of Minimal Effects? The Changing Foundations of Political Communication1,542 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2009The Immensely Inflated News Audience: Assessing Bias in Self-Reported News Exposure561 cited
  • 2021Persistent Anti-Muslim Bias in Large Language Models476 cited
  • 2015News, Politics, and Negativity420 cited
  • 2017Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges300 cited
  • 2020Social Biases in NLP Models as Barriers for Persons with Disabilities274 cited
  • 1935THE TECHNIQUE OF SEMANTICS.249 cited
  • 2018No Longer Lost in Translation: Evidence that Google Translate Works for Comparative Bag-of-Words Text Applications244 cited
  • 2016Big Social Data Analytics in Journalism and Mass Communication230 cited
  • 2015Taking Stock of the Toolkit212 cited
  • 2018Measuring smartphone usage and task switching with log tracking and self-reports201 cited
  • 2018When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science

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198 cited
  • 2011THE PROMISE OF COMPUTATIONAL JOURNALISM189 cited
  • Cited by

    • 2025ChatGPT’s Potential for Quantitative Content Analysis: Categorizing Actors in German News Articles10 cited
    • 2025Can we use automated approaches to measure the quality of online political discussion? How to (not) measure interactivity, diversity, rationality, and incivility in online comments to the news6 cited
    • 2025Topic modeling of video and image data: a visual semantic unsupervised approach2 cited
    • 2025Rethinking Scaling Up Content Analysis: A Reappraisal of Justifications and Practices for Large-Scale Content Analysis1 cited