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Los LLM y la codificación en la investigación cualitativa: avances y oportunidades para Social Verbatim como herramienta integral cualitativa
16 references·0 citing·55 second hop
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References

  • 2018Flexible Coding of In-depth Interviews: A Twenty-first-century Approach1,622 cited
  • 2019Coding qualitative data: a synthesis guiding the novice1,179 cited
  • 2023Can Large Language Models Transform Computational Social Science?582 cited
  • 2015A reflexive exploration of two qualitative data coding techniques466 cited
  • 2023Exploring the Use of Artificial Intelligence for Qualitative Data Analysis: The Case of ChatGPT443 cited
  • 2024Can Generative AI improve social science?367 cited
  • 2019Machine Learning for Sociology294 cited
  • 2021Transcription and Qualitative Methods: Implications for Third Sector Research278 cited
  • 2023Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding242 cited
  • 2024An Examination of the Use of Large Language Models to Aid Analysis of Textual Data224 cited
  • 2021Supporting Serendipity: Opportunities and Challenges for Human-AI Collaboration in Qualitative Analysis139 cited
  • 2023LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis108 cited
  • 2023Why open-source generative AI models are an ethical way forward for science104 cited
  • 2025“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs)90 cited

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  • 2024Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods?85 cited
  • 2025Large Language Models in Qualitative Research: Uses, Tensions, and Intentions51 cited
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