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ArticleThe dangers of using proprietary LLMs for research

Étienne Ollion2024

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Articlegreen2024

The dangers of using proprietary LLMs for research

Étienne Ollion · Rubing Shen · Ana Macanovic · Arnault Chatelain

61 citations·0/0 files stored·Nature Machine Intelligence

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Ethics and Social Impacts of AI Sentiment Analysis and Opinion Mining Computational and Text Analysis Methods

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References

2023ChatGPT outperforms crowd workers for text-annotation tasks 2023Can Large Language Models Transform Computational Social Science?2024Can Generative AI improve social science?2023Why open-source generative AI models are an ethical way forward for science 2022The Augmented Social Scientist: Using Sequential Transfer Learning to Annotate Millions of Texts with Human-Level Accuracy 2023ChatGPT for Text Annotation? Mind the Hype!2023Towards Coding Social Science Datasets with Language Models

Cited by

2025Machine Bias. How Do Generative Language Models Answer Opinion Polls?2024Updating “The Future of Coding”: Qualitative Coding with Generative Large Language Models 2026Computational Text Analysis for Building and Testing Social Theory 2024Machine Learning and the Analysis of Culture 2024Large language models recover scientific collaboration networks from text

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Year2024

Typearticle

Published2024-01-17

VenueNature Machine Intelligence

ISSN-L2522-5839

Languageen

Citations61

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1038/s42256-023-00783-6

openalex_workW4390947766

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