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Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks
7 references·1 citing·29 second hop
Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks (2025)Just Put a Human in the Loop? Investigati…What's in a Prompt?: A Large-Scale Experiment to Assess the Impact of Prompt Design on the Compliance and Accuracy of LLM-Generated Text Annotations (2025)What's in a Prompt?: A Large-…Keeping Humans in the Loop: Human-Centered Automated Annotation with Generative AI (2025)Keeping Humans in the Loop: H…Efficiency with Rigor! A Trustworthy LLM-powered Workflow for Qualitative Data Analysis (2025)Efficiency with Rigor! A Trus…The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead? (2024)The LLM Effect: Are Humans Tr…Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach (2023)Performing an Inductive Thema…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…Exploring the Digital Therapeutic Alliance: A Preliminary Analysis of Mental Health Chatbot Conversations (2025)Exploring the Digital Therape…The Media Frames Corpus: Annotations of Frames Across Issues (2015)Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data (2016)Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena (2023)Out of One, Many: Using Language Models to Simulate Human Samples (2023)Can Generative AI improve social science? (2024)Using thematic analysis in psychology (2006)Thematic Analysis (2017)ChatGPT for Education and Research: Opportunities, Threats, and Strategies (2023)Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance (2024)Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review (2024)Using thematic analysis in qualitative research (2025)The Structure of Scientific Revolutions (1963)Framing: Toward Clarification of a Fractured Paradigm (1993)RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)Durably reducing conspiracy beliefs through dialogues with AI (2024)Harnessing the power of AI in qualitative research: Exploring, using and redesigning ChatGPT (2025)Inter-Coder Agreement for Computational Linguistics (2008)Content Analysis: An Introduction to Its Methodology (2019)Measurement and Fairness (2021)Prompting the Machine: Introducing an LLM Data Extraction Method for Social Scientists (2025)Human-in-the-Loop Artificial Intelligence: A Systematic Review of Concepts, Methods, and Applications (2026)SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours (2019)Should ChatGPT be biased? Challenges and risks of bias in large language models (2023)Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts (2025)Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation (2025)Using natural language processing to analyse text data in behavioural science (2025)Relation of the therapeutic alliance with outcome and other variables: A meta-analytic review. (2000)The WHO-5 Well-Being Index: A Systematic Review of the Literature (2015)Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial (2017)
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References

  • 2023ChatGPT outperforms crowd workers for text-annotation tasks1,338 cited
  • 2023Can Large Language Models Transform Computational Social Science?676 cited
  • 2023Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach301 cited
  • 2025What's in a Prompt?: A Large-Scale Experiment to Assess the Impact of Prompt Design on the Compliance and Accuracy of LLM-Generated Text Annotations56 cited
  • 2025Keeping Humans in the Loop: Human-Centered Automated Annotation with Generative AI49 cited
  • 2024The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?8 cited
  • 2025Efficiency with Rigor! A Trustworthy LLM-powered Workflow for Qualitative Data Analysis1 cited

Cited by

  • 2025Exploring the Digital Therapeutic Alliance: A Preliminary Analysis of Mental Health Chatbot Conversations1 cited

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