mlsanityData to 7 Oct 2026

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research

arXiv 2307.04280 ↗First posted 9 Jul 2023cs.HCcited by 14

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Abstract (arXiv)

The emergence of Large Language Models (LLMs) has brought both excitement and concerns to social computing research. On the one hand, LLMs offer unprecedented capabilities in analyzing vast amounts of textual data and generating human-like responses, enabling researchers to delve into complex social phenomena. On the other hand, concerns are emerging regarding the validity, privacy, and ethics of the research when LLMs are involved. This SIG aims at offering an open space for social computing researchers who are interested in understanding the impacts of LLMs to discuss their current practices, perspectives, challenges when engaging with LLMs in their everyday work and collectively shaping the emerging norms of using LLMs in social computing research.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jul 2023.

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Citing papers per year: 2023: 3; 2024: 9; 2025: 2.

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  1. 2024Emergent social conventions and collective bias in LLM populationscited by 115
  2. 2023Rehearsal: Simulating Conflict to Teach Conflict Resolutioncited by 54
  3. 2023Simulating Public Administration Crisis: A Novel Generative Agent-Based Simulation System to Lower Technology Barriers in Social Science Researchcited by 21
  4. 2025The Order Effect: Investigating Prompt Sensitivity to Input Order in LLMscited by 19
  5. 2025Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Reviewcited by 16
  6. 2024A Survey on Human-Centric LLMscited by 13
  7. 2024From Prompt Engineering to Prompt Science With Human in the Loopcited by 12
  8. 2024LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loopcited by 8
  9. 2024Reflections on Inductive Thematic Saturation as a potential metric for measuring the validity of an inductive Thematic Analysis with LLMscited by 6
  10. 2023Synergizing Human-AI Agency: A Guide of 23 Heuristics for Service Co-Creation with LLM-Based Agentscited by 5
  11. 2024I Am Not Them: Fluid Identities and Persistent Out-group Bias in Large Language Modelscited by 5
  12. 2024Harnessing LLMs for Automated Video Content Analysis: An Exploratory Workflow of Short Videos on Depressioncited by 4
2 more
  1. 2024Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platformscited by 4
  2. 2024A Framework for Collaborating a Large Language Model Tool in Brainstorming for Triggering Creative Thoughtscited by 4