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Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda
13 references·16 citing·42 second hop
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(1984)Content Analysis: An Introduc…Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can! (2024)Misclassification in Automate…Analyzing Sensationalism in News on Twitter ( X ): Clickbait Journalism by Legacy vs. Online-Native Outlets and the Consequences for User Engagement (2024)Analyzing Sensationalism in N…A computational method to reveal psychological constructs from text data. 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Multilingual Dictionaries Assessing Two Strategies for the Topic Modeling of Multilingual Text Collections (2021)Machine Translation Vs. Multi…A Theory of Cognitive Dissonance (1957)The Structure of Scientific Revolutions (1963)Judgment under Uncertainty: Heuristics and Biases (1975)Individual differences in reasoning: Implications for the rationality debate? (2000)A manifesto for reproducible science (2017)Fake News Detection on Social Media (2017)The neglected 95%: Why American psychology needs to become less American. (2008)Sustaining cooperation in laboratory public goods experiments: a selective survey of the literature (2010)The weirdest people in the world? (2010)WEIRD languages have misled us, too [Comment on Henrich et al.] (2010)Investigating Variation in Replicability (2014)Statistical physics of human cooperation (2017)The Content Analysis Guidebook (2017)Content Analysis: An Introduction to Its Methodology (2019)Text as Data (2019)Biased evaluation and persistence in gambling. (1983)The case for motivated reasoning. (1990)Why Most Published Research Findings Are False (2005)Power failure: why small sample size undermines the reliability of neuroscience (2013)The New Statistics (2013)Estimating the reproducibility of psychological science (2015)Structural Topic Models for Open‐Ended Survey Responses (2014)Corporate funding and ideological polarization about climate change (2015)A Model of Text for Experimentation in the Social Sciences (2016)Mobilizing Policy (In)Capacity to Fight COVID-19: Understanding Variations in State Responses (2020)The Discovery of Grounded Theory: Strategies for Qualitative Research. (1968)Constructing grounded theory (2014)Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019)Computational Social Science and Sociology (2020)Machine Learning for Social Science: An Agnostic Approach (2021)Discourse Analysis (1983)Smart literature review: a practical topic modelling approach to exploratory literature review (2019)Rhetoric and frame analysis of ExxonMobil's climate change communications (2021)A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)Extracting Policy Positions from Political Texts Using Words as Data (2003)Text Mining Infrastructure in R (2008)tidytext: Text Mining and Analysis Using Tidy Data Principles in R (2016)No Longer Lost in Translation: Evidence that Google Translate Works for Comparative Bag-of-Words Text Applications (2018)Politicization and Polarization in COVID-19 News Coverage (2020)Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness (2003)Three Approaches to Qualitative Content Analysis (2005)The qualitative content analysis process (2008)
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References

  • 1984Content Analysis: An Introduction to its Methodology.24,312 cited
  • 1998Confirmation Bias: A Ubiquitous Phenomenon in Many Guises7,230 cited
  • 2011False-Positive Psychology6,561 cited
  • 2010Most people are not WEIRD3,439 cited
  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2019stm : An R Package for Structural Topic Models1,713 cited
  • 2018quanteda: An R package for the quantitative analysis of textual data1,342 cited
  • 2018Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology847 cited
  • 2017Computational Grounded Theory: A Methodological Framework702 cited
  • 2017Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It466 cited
  • 2019News Frame Analysis: An Inductive Mixed-method Computational Approach231 cited
  • 2015Taking Stock of the Toolkit212 cited
  • 2018When Communication Meets Computation: Opportunities, Challenges, and Pitfalls in Computational Communication Science198 cited

Cited by

  • 2023Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI169 cited

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  • 2023What We Can Do and Cannot Do with Topic Modeling: A Systematic Review74 cited
  • 2021Machine Translation Vs. Multilingual Dictionaries Assessing Two Strategies for the Topic Modeling of Multilingual Text Collections43 cited
  • 2023Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings33 cited
  • 2023Capturing a News Frame – Comparing Machine-Learning Approaches to Frame Analysis with Different Degrees of Supervision32 cited
  • 2023The Search for Solid Ground in Text as Data: A Systematic Review of Validation Practices and Practical Recommendations for Validation30 cited
  • 2024Analyzing Sensationalism in News on Twitter ( X ): Clickbait Journalism by Legacy vs. Online-Native Outlets and the Consequences for User Engagement29 cited
  • 2022Computational methods for the analysis of climate change communication: Towards an integrative and reflexive approach24 cited
  • 2023Cutting Through the Comment Chaos: A Supervised Machine Learning Approach to Identifying Relevant YouTube Comments21 cited
  • 2022Noise Pollution: A Multi-Step Approach to Assessing the Consequences of (Not) Validating Search Terms on Automated Content Analyses20 cited
  • 2024Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!20 cited
  • 2023Reading customers’ minds through textual big data: Challenges, practical guidelines, and proposals16 cited
  • 2024A computational method to reveal psychological constructs from text data.16 cited
  • 2023Critical computation: mixed-methods approaches to big language data analysis15 cited
  • 2023Envisioning a More Inclusive Future for Digital Journalism: A Diversity Audit of Journalism Studies (2013–2021)15 cited
  • 2023‘Take my advice’: Entrepreneurial consumers and the ecosystemic logics of digital platforms14 cited