SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Correcting the Measurement Errors of AI-Assisted Labeling in Image Analysis Using Design-Based Supervised Learning
16 references·1 citing·42 second hop
Correcting the Measurement Errors of AI-Assisted Labeling in Image Analysis Using Design-Based Supervised Learning (2025)Correcting the Measurement Errors of AI-A…Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models (2023)Using Imperfect Surrogates fo…Text as Data: A New Framework for Machine Learning and the Social Sciences (2023)Text as Data: A New Framework…ChatGPT outperforms crowd workers for text-annotation tasks (2023)ChatGPT outperforms crowd wor…Can Large Language Models Transform Computational Social Science? (2023)Can Large Language Models Tra…The Augmented Social Scientist: Using Sequential Transfer Learning to Annotate Millions of Texts with Human-Level Accuracy (2022)The Augmented Social Scientis…REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets (2022)REVISE: A Tool for Measuring …Image as Data: Automated Content Analysis for Visual Presentations of Political Actors and Events (2022)Image as Data: Automated Cont…How to make causal inferences using texts (2022)How to make causal inferences…Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures (2021)Topics, Concepts, and Measure…Images as Data for Social Science Research (2020)Images as Data for Social Sci…The Future of Coding: A Comparison of Hand-Coding and Three Types of Computer-Assisted Text Analysis Methods (2018)The Future of Coding: A Compa…Images that Matter: Online Protests and the Mobilizing Role of Pictures (2018)Images that Matter: Online Pr…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Computational Grounded Theory: A Methodological Framework (2017)Computational Grounded Theory…Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…A Method of Automated Nonparametric Content Analysis for Social Science (2009)A Method of Automated Nonpara…Chinese vs. World Bank development projects: Insights from earth observation and computer vision on wealth gains in Africa, 2002–2013 (2026)Chinese vs. World Bank develo…Content Analysis: An Introduction to its Methodology. (1984)Structural Topic Models for Open‐Ended Survey Responses (2014)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)Extracting Policy Positions from Political Texts Using Words as Data (2003)How Censorship in China Allows Government Criticism but Silences Collective Expression (2013)A Model of Text for Experimentation in the Social Sciences (2016)How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument (2017)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)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Inside the Black Box of Organizational Life: The Gendered Language of Performance Assessment (2020)Text mining for social science – The state and the future of computational text analysis in sociology (2022)The Who, What, When, and How of Industrial Policy: A Text-Based Approach (2022)An Economic Theory of Democracy. (1958)The Logic of Collective Action (1965)Agendas, Alternatives, and Public Policies (1985)Contemporary Social Movements in a Hybrid Media Environment (2020)What Makes Politicians’ Instagram Posts Popular? Analyzing Social Media Strategies of Candidates and Office Holders with Computer Vision (2020)Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates (2021)Psychological Aspects of Natural Language Use: Our Words, Our Selves (2002)False-Positive Psychology (2011)Deconfounded Lexicon Induction for Interpretable Social Science (2018)Handbook of Computational Social Science for Policy (2023)The ethics of generative AI in social science research: A qualitative approach for institutionally grounded AI research ethics (2025)The Structure of Scientific Revolutions (1963)Framing: Toward Clarification of a Fractured Paradigm (1993)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (2024)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Can Generative AI improve social science? (2024)Durably reducing conspiracy beliefs through dialogues with AI (2024)Selecting the Number and Labels of Topics in Topic Modeling: A Tutorial (2023)What We Can Do and Cannot Do with Topic Modeling: A Systematic Review (2023)
this work references cited by second hop

References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 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
  • 2009A Method of Automated Nonparametric Content Analysis for Social Science762 cited
  • 2017Computational Grounded Theory: A Methodological Framework702 cited
  • 2023Can Large Language Models Transform Computational Social Science?582 cited
  • 2018The Future of Coding: A Comparison of Hand-Coding and Three Types of Computer-Assisted Text Analysis Methods237 cited
  • 2023Text as Data: A New Framework for Machine Learning and the Social Sciences204 cited
  • 2018Images that Matter: Online Protests and the Mobilizing Role of Pictures157 cited
  • 2022How to make causal inferences using texts118 cited
  • 2022REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets77 cited
  • 2021Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures65 cited
  • 2020Images as Data for Social Science Research59 cited
  • 2022The Augmented Social Scientist: Using Sequential Transfer Learning to Annotate Millions of Texts with Human-Level Accuracy54 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2023Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models42 cited
  • 2022Image as Data: Automated Content Analysis for Visual Presentations of Political Actors and Events32 cited
  • Cited by

    • 2026Chinese vs. World Bank development projects: Insights from earth observation and computer vision on wealth gains in Africa, 2002–20133 cited