Can ChatGPT Kill User-Generated Q&A Platforms?
References
- (2024) An overview of artificial intelligence and its application in marketing with focus on large language models. Internat. J. Sci. Res. Arch. 12(2):455–465.Crossref, Google Scholar
- (2024) The impact of large language model-generated radiology report summaries on patient comprehension: A randomized controlled trial. J. Amer. College Radiology 21(12):1898–1903.Crossref, Google Scholar
- (2025) Exploring generative AI’s impact on research: Perspectives from senior scholars in management information systems. ACM Trans. Management Inform. Systems 16(2):19.Crossref, Google Scholar
- (2025) How should the advancement of large language models affect the practice of science? Proc. Natl. Acad. Sci. USA 122(5):e2401227121.Crossref, Google Scholar
- (2024) The crowdless future? Generative AI and creative problem-solving. Organ. Sci. 35(5):1589–1607.Link, Google Scholar
- (2020) Language models are few-shot learners. Larochelle H, Ranzato M, Hadsell R, Balcan MF, Lin HT, eds. Advances in Neural Information Processing, vol. 33 (Curran Associates, Inc., Red Hook, NY), 1877–1901.Google Scholar
- (2025) Generative AI at work. Quart. J. Econom. 140(2):889–942.Crossref, Google Scholar
- (2024) The consequences of generative AI for online knowledge communities. Sci. Rep. 14(1):10413.Crossref, Google Scholar
- (2024) Effects of automated AI moderation on user content contribution: A natural experiment in an online knowledge-sharing community. Preprint, submitted October 10, https://ssrn.com/abstract=4949261.Google Scholar
- (2025) An IS research agenda on large language models: Development, applications, and impacts on business and management. ACM Trans. Management Inform. Systems 16(1):1.Crossref, Google Scholar
- (2024) Large language model in creative work: The role of collaboration modality and user expertise. Management Sci. 70(12):9101–9117.Link, Google Scholar
- (2011) The role of marketing in social media: How online consumer reviews evolve. J. Interactive Marketing 25(2):85–94.Crossref, Google Scholar
- (2024) Large language models (LLM) in industry: A survey of applications, challenges, and trends. 2024 IEEE 21st Internat. Conf. Smart Communities Improving Quality Life Using AI Robotics IoT (HONET) (IEEE, Piscataway, NJ), 229–234.Google Scholar
- (2023) Are large language models a threat to digital public goods? Evidence from activity on stack overflow. Preprint, submitted July 14, https://arxiv.org/abs/2307.07367.Google Scholar
- (2024) Large language models reduce public knowledge sharing on online Q&A platforms. PNAS Nexus 3(9):pgae400.Crossref, Google Scholar
- (2003) The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Sci. 49(10):1407–1424.Link, Google Scholar
- (2025) Who is AI replacing? The impact of generative AI on online freelancing platforms. Management Sci. 70(10):8097–8108.Link, Google Scholar
- (2022) More than the quantity: The value of editorial reviews for a user-generated content platform. Management Sci. 68(9):6865–6888.Link, Google Scholar
- (2002) Media Competition and Coexistence: The Theory of the Niche (Routledge, New York).Crossref, Google Scholar
- (1984) The theory of the niche: Quantifying competition among media industries. J. Comm. 34(1):103–119.Crossref, Google Scholar
- (2024) GPTs are GPTs: Labor market impact potential of LLMs. Science 384(6702):1306–1308.Crossref, Google Scholar
- (2011) Are the abstracts of high impact articles more readable? Investigating the evidence from top research institutions in the world. J. Inform. Sci. 37(3):273–281.Crossref, Google Scholar
- (2025) Artificial intelligence and the labor market. NBER Working Paper No. 33509, National Bureau of Economic Research, Cambridge, MA.Google Scholar
- (2003) Abstracts, introductions and discussions: How far do they differ in style? Scientometrics 57(3):389–398.Crossref, Google Scholar
- (2024) Generative AI in user-generated content. Mueller FF, Kyburz P, Williamson JR, Sas C, Wilson M, Toups Dugas P, Shklovski I, eds. CHI EA ‘24 Extended Abstracts CHI Conf. Human Factors Comput. Systems (ACM, New York), 1–7.Google Scholar
- (2024) The short-term effects of generative artificial intelligence on employment: Evidence from an online labor market. Organ. Sci. 35(6):1977–1989.Link, Google Scholar
- (2025) The unequal adoption of ChatGPT exacerbates existing inequalities among workers. Proc. Natl. Acad. Sci. USA 122(1):e2414972121.Crossref, Google Scholar
- (2022) Large language models are zero-shot reasoners. Koyejo S, Mohamed S, Agarwal A, Belgrave D, Cho K, Oh A, eds. Advances in Neural Information Processing, vol. 35 (Curran Associates, Inc., Red Hook, NY), 22199–22213.Google Scholar
- (2025) Impacts of generative AI on user contributions: Evidence from a coding Q&A platform. Marketing Lett. 36(3):577–591.Crossref, Google Scholar
- (2023) “Generate” the future of work through AI: Empirical evidence from online labor markets. Preprint, submitted August 3, https://ssrn.com/abstract=4529739.Google Scholar
- (2024) Managing IOS- and social media-enabled knowledge exchange processes: A task–technology fit perspective. Indust. Marketing Management 121(3):131–145.Google Scholar
- (2024) Learning to adopt generative AI. Preprint, submitted October 17, https://arxiv.org/abs/2410.19806.Google Scholar
- (2020) Understanding stack overflow code quality: A recommendation of caution. Sci. Comput. Programming 199(4):102516.Crossref, Google Scholar
- (2009) The knowledge-creating company. Neef D, Siesfeld GA, Cefola J, eds. The Economic Impact of Knowledge (Routledge, New York), 175–187.Google Scholar
- (2003) The knowledge-creating theory revisited: Knowledge creation as a synthesizing process. Knowledge Management Res. Practice 1(1):2–10.Crossref, Google Scholar
- (2023) Experimental evidence on the productivity effects of generative artificial intelligence. Science 381(6654):187–192.Crossref, Google Scholar
- (2009) Causality (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
- (2019) Language models as knowledge bases? Preprint, submitted September 3, https://arxiv.org/abs/1909.01066.Google Scholar
- (2025) Heterogeneous effects of generative AI on knowledge seeking in online communities. J. Management Inform. Systems 42(2):370–399.Crossref, Google Scholar
- (2004) Research in computer science: An empirical study. J. Systems Software 70(1–2):165–176.Crossref, Google Scholar
- (2024) Abstract readability: Evidence from top-5 economics journals. Econom. Lett. 235(2):111541.Crossref, Google Scholar
- (2018) The computer science ontology: A large-scale taxonomy of research areas. Vrandečić D, Bontcheva K, Suárez-Figueroa MC, Presutti V, Celino I, Sabou M, Kaffee LA, Simperl E, eds. Semantic Web ISWC 2018 (Springer, Cham, Switzerland), 187–205.Crossref, Google Scholar
- (2025) Examining the impact of generative AI on users’ voluntary knowledge contribution: Evidence from a natural experiment on stack overflow. Inform. Systems Res., epub ahead of print September 24, https://doi.org/10.1287/isre.2023.0332.Link, Google Scholar
- Stack Overflow (2024) Developer survey: AI and ML. Accessed July 29, 2024, https://survey.stackoverflow.co/2024/.Google Scholar
- (2023) Generative AI and human knowledge sharing: Evidence from a natural experiment. Preprint, submitted November 29, https://ssrn.com/abstract=4628786.Google Scholar
- (2023) The Janus effect of generative AI: Charting the path for responsible conduct of scholarly activities in information systems. Inform. Systems Res. 34(2):399–408.Link, Google Scholar
- (2024) Exploring the impact of ChatGPT on business school education: Prospects, boundaries, and paradoxes. J. Management Ed. 48(5):915–947.Google Scholar
- (2024) Can banning AI-generated content save user-generated Q&A platforms? Preprint, submitted April 4, https://papers.ssrn.com/abstract=4750326.Google Scholar
- (2023) A survey on ChatGPT: AI-generated contents, challenges, and solutions. IEEE Open J. Comput. Soc. 4(1):280–302.Crossref, Google Scholar
- (2005) Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quart. 29(1):35–57.Crossref, Google Scholar
- (2025) Revolutionizing finance with LLMs: An overview of applications and insights. Preprint, submitted January 22, https://arxiv.org/abs/2401.11641.Google Scholar
- (1998) A theory of task/technology fit and group support systems effectiveness. MIS Quart. 22(3):313–334.Crossref, Google Scholar

