SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The dangers of using proprietary LLMs for research
7 references·5 citing·32 second hop
The dangers of using proprietary LLMs for research (2024)The dangers of using proprietary LLMs for…Can Generative AI improve social science? (2024)Can Generative AI improve soc…Why open-source generative AI models are an ethical way forward for science (2023)Why open-source generative AI…Towards Coding Social Science Datasets with Language Models (2023)Towards Coding Social Science…ChatGPT outperforms crowd workers for text-annotation tasks (2023)ChatGPT outperforms crowd wor…ChatGPT for Text Annotation? Mind the Hype! (2023)ChatGPT for Text Annotation? …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…Computational Text Analysis for Building and Testing Social Theory (2026)Computational Text Analysis f…Machine Bias. How Do Generative Language Models Answer Opinion Polls? (2025)Machine Bias. How Do Generati…Updating “The Future of Coding”: Qualitative Coding with Generative Large Language Models (2024)Updating “The Future of Codin…Machine Learning and the Analysis of Culture (2024)Machine Learning and the Anal…Large language models recover scientific collaboration networks from text (2024)Large language models recover…Computational Social Science (2009)How Censorship in China Allows Government Criticism but Silences Collective Expression (2013)Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Embedding Democratic Values into Social Media AIs via Societal Objective Functions (2024)Start Generating: Harnessing Generative Artificial Intelligence for Sociological Research (2024)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)Experimental evidence of massive-scale emotional contagion through social networks (2014)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Dissecting racial bias in an algorithm used to manage the health of populations (2019)AI for social science and social science of AI: A survey (2024)Generative AI and human–robot interaction: implications and future agenda for business, society and ethics (2024)How large language models can reshape collective intelligence (2024)Content Analysis: An Introduction to its Methodology. (1984)Flexible Coding of In-depth Interviews: A Twenty-first-century Approach (2018)On the Opportunities and Risks of Foundation Models (2021)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)A Survey on Bias and Fairness in Machine Learning (2021)Structural Topic Models for Open‐Ended Survey Responses (2014)Exposure to opposing views on social media can increase political polarization (2018)Using proprietary language models in academic research requires explicit justification (2023)Durably reducing conspiracy beliefs through dialogues with AI (2024)Rethinking open source generative AI: open washing and the EU AI Act (2024)Exploring the applicability of large language models to citation context analysis (2024)Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties (2024)Synthetically generated text for supervised text analysis (2025)A systematic evaluation of text mining methods for short texts: Mapping individuals’ internal states from online posts (2024)Are chatbots reliable text annotators? Sometimes (2025)ChatGPT’s Potential for Quantitative Content Analysis: Categorizing Actors in German News Articles (2025)
this work references cited by second hop

References

  • 2023ChatGPT outperforms crowd workers for text-annotation tasks1,193 cited
  • 2023Can Large Language Models Transform Computational Social Science?582 cited
  • 2024Can Generative AI improve social science?367 cited
  • 2023Why open-source generative AI models are an ethical way forward for science104 cited
  • 2022The Augmented Social Scientist: Using Sequential Transfer Learning to Annotate Millions of Texts with Human-Level Accuracy54 cited
  • 2023ChatGPT for Text Annotation? Mind the Hype!29 cited
  • 2023Towards Coding Social Science Datasets with Language Models18 cited

Cited by

  • 2025Machine Bias. How Do Generative Language Models Answer Opinion Polls?22 cited
  • 2024Updating “The Future of Coding”: Qualitative Coding with Generative Large Language Models3 cited
  • 2026Computational Text Analysis for Building and Testing Social Theory2 cited
  • 2024Machine Learning and the Analysis of Culture2 cited
  • 2024Large language models recover scientific collaboration networks from text2 cited

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