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Labeling social media posts: does showing coders multimodal content produce better human annotation, and a better machine classifier?
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Labeling social media posts: does showing coders multimodal content produce better human annotation, and a better machine classifier? (2025)Labeling social media posts: does showing…ChatGPT outperforms crowd workers for text-annotation tasks (2023)ChatGPT outperforms crowd wor…Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges (2023)Automated Visual Analysis for…MARMOT (2022)MARMOTMachine Learning for Social Science: An Agnostic Approach (2021)Machine Learning for Social S…Automated Text Classification of News Articles: A Practical Guide (2020)Automated Text Classification…A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal Disinformation and Rebuttals Disseminated via Social Media (2020)A Picture Paints a Thousand L…Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data (2019)Who Leads? Who Follows? Measu…CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media (2019)CASM: A Deep-Learning Approac…Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text (2017)Computer‐Assisted Keyword and…Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data (2016)Crowd-sourced Text Analysis: …Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…Content Analysis: An Introduction to its Methodology. (1984)The Content Analysis Guidebook (2017)Content Analysis: An Introduction to Its Methodology (2019)stm : An R Package for Structural Topic Models (2019)Text as Data (2019)A Method of Automated Nonparametric Content Analysis for Social Science (2009)Data fusion (2009)How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument (2017)How the news media activate public expression and influence national agendas (2017)Pricing Climate Change Exposure (2023)An Economic Theory of Democracy. (1958)The Agenda-Setting Function of Mass Media (1972)Macroeconomics and Reality (1980)Short Circuiting Policy (2020)Social Media and Political Agenda Setting (2021)The consequences of online partisan media (2021)A Theory of Cognitive Dissonance (1957)Framing: Toward Clarification of a Fractured Paradigm (1993)A Theory of Cognitive Dissonance (2017)Beyond (Mis)Representation: Visuals in COVID-19 Misinformation (2020)Spread of misinformation on social media: What contributes to it and how to combat it (2022)Misinformation, disinformation, and fake news: lessons from an interdisciplinary, systematic literature review (2024)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI (2023)Out of One, Many: Using Language Models to Simulate Human Samples (2023)The Discovery of Grounded Theory; Strategies for Qualitative Research (1968)Structural Topic Models for Open‐Ended Survey Responses (2014)Artificial Intelligence and Democracy: A Conceptual Framework (2023)Handbook of Research Methods in Social and Personality Psychology (2024)REFORMS: Consensus-based Recommendations for Machine-learning-based Science (2024)The War at Home: Antiwar Protests and Congressional Voting, 1965 to 1973 (2002)Contentious Performances (2008)Powerful Patriots (2014)Why Does China Allow Freer Social Media? Protests versus Surveillance and Propaganda (2017)Specificity, Conflict, and Focal Point: A Systematic Investigation into Social Media Censorship in China (2020)Cultural cartography with word embeddings (2021)Objectification Theory: Toward Understanding Women's Lived Experiences and Mental Health Risks (1997)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Computational strategic communication in a data-driven world (2024)The Mobilizing Power of Visual Media Across Stages of Social-Mediated Protests (2024)From Mobile Media to Generative AI: The Evolutionary Logic of Computational Social Science Across Data, Methods, and Theory (2025)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)The Generalizability of Survey Experiments (2015)Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges (2017)Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research (2021)Can Large Language Models Transform Computational Social Science? (2023)Can Generative AI improve social science? (2024)Durably reducing conspiracy beliefs through dialogues with AI (2024)
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References

  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2023ChatGPT outperforms crowd workers for text-annotation tasks1,193 cited
  • 2019Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data542 cited
  • 2021Machine Learning for Social Science: An Agnostic Approach324 cited
  • 2016Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data296 cited
  • 2020A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal Disinformation and Rebuttals Disseminated via Social Media271 cited
  • 2017Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text229 cited
  • 2019CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media178 cited
  • 2020Automated Text Classification of News Articles: A Practical Guide157 cited
  • 2023Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges34 cited
  • 2022MARMOT8 cited

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