References

• 2019Content Analysis: An Introduction to Its Methodology15,420 cited
• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
• 2001Measurement Validity: A Shared Standard for Qualitative and Quantitative Research1,600 cited
• 2023Out of One, Many: Using Language Models to Simulate Human Samples774 cited
• 2023Fairness in Machine Learning: A Survey645 cited
• 2022A Review on Fairness in Machine Learning596 cited
• 2021Measurement and Fairness362 cited
• 2021Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda183 cited
• 2023Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI169 cited
• 2020Text as Data: An Overview95 cited
• 2023Text as Data: A New Framework for Machine Learning and the Social Sciences89 cited
• 2014Text to Ideology or Text to Party Status?21 cited
• 2023Lowering the Language Barrier: Investigating Deep Transfer Learning and Machine Translation for Multilingual Analyses of Political Texts11 cited

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