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The emergence of Large Language Models (LLMs) has brought both excitement and concerns to social computing research.
Tastes, ties, and time: A new social network dataset using Facebook. com
Kevin Lewis, Jason Kaufman, Marco Gonzalez, Andreas Wimmer, and Nicholas Christakis. 2008 · 2008
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A survey on interdependent privacy
Mathias Humbert, Benjamin Trubert, and Kévin Huguenin. 2019 · 2019
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Bit by bit: Social research in the digital age
Matthew J Salganik. 2019 · 2019
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Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
Dakuo Wang, Justin D. Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, and Alexander Gray. 2019 · 2019
Earlier work this paper cites.
Towards understanding and mitigating social biases in language models. In International Conference on Machine Learning . PMLR, 6565–6576
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2021 · 2021
Earlier work this paper cites.
StereoSet: Measuring stereotypical bias in pretrained language models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online, 5356–5371
Moin Nadeem, Anna Bethke, and Siva Reddy. 2021 · 2021
Earlier work this paper cites.
Privacy harms
Danielle Keats Citron and Daniel J Solove. 2022 · 2022
Cited alongside, same era.
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. In In the 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22) (Bend, OR, USA) (UIST ’22) . Association for Computing Machinery, New York, NY, USA
Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2022 · 2022
Cited alongside, same era.
AI Chat Assistants can Improve Conversations about Divisive Topics
Lisa P Argyle, Ethan Busby, Joshua Gubler, Chris Bail, Thomas Howe, Christopher Rytting, and David Wingate. 2023 · 2023
Cited alongside, same era.
Can Generative AI Improve Social Science?
Christopher A Bail. 2023 · 2023
Cited alongside, same era.
Using cognitive psychology to understand GPT-3
Marcel Binz and Eric Schulz. 2023 · 2023
Cited alongside, same era.
PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 362, 19 pages
Simret Araya Gebreegziabher, Zheng Zhang, Xiaohang Tang, Yihao Meng, Elena L. Glassman, and Toby Jia-Jun Li. 2023 · 2023
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On the Design of AI-Powered Code Assistants for Notebooks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 434, 16 pages
Andrew M Mcnutt, Chenglong Wang, Robert A Deline, and Steven M. Drucker. 2023 · 2023
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An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries. In Proceedings of the 28th International Conference on Intelligent User Interfaces (Sydney, NSW, Australia) (IUI ’23) . Association for Computing Machinery, New York, NY, USA, 633–649
Zheng Ning, Zheng Zhang, Tianyi Sun, Yuan Tian, Tianyi Zhang, and Toby Jia-Jun Li. 2023 · 2023
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CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis
Jie Gao, Yuchen Guo, Gionnieve Lim, Tianqin Zhan, Zheng Zhang, Toby Jia-Jun Li, and Simon Tangi Perrault. 2023 · 2023
Cited alongside, same era.
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2023 · 2023
Closest in time.
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. In Companion Proceedings of the 28th International Conference on Intelligent User Interfaces . 75–78
Ziang Xiao, Xingdi Yuan, Q Vera Liao, Rania Abdelghani, and Pierre-Yves Oudeyer. 2023 · 2023
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Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2023 · 2023
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