Unraveling the Impact: An Empirical Investigation of ChatGPT’s Exclusion from Stack Overflow

References

• Ali F, OpenAI, Inc, C. (2023) Let the devil speak for itself: Should ChatGPT be allowed or banned in hospitality and tourism schools? J. Global Hospitality Tourism 2(1):1–6.Crossref, Google Scholar
• Antelmi A, Cordasco G, De Vinco D, Spagnuolo C (2023) The age of snippet programming: Toward understanding developer communities in stack overflow and Reddit. Ding Y, Tang J, Sequeda J, Aroyo L, Castillo C, Houben GJ, eds. Proc. ACM Web Conf. (Association for Computing Machinery (ACM), New York), 1218–1224.Google Scholar
• Armstrong A, Hagel J (2009) The real value of online communities. Lesser EL, Fontaine MA, Slusher JA, eds. Knowledge and Communities (Routledge, New York), 85–95.Google Scholar
• Banerjee S, Dellarocas C, Zervas G (2021) Interacting user-generated content technologies: How questions and answers affect consumer reviews. J. Marketing Res. 58(4):742–761.Crossref, Google Scholar
• Baumeister RF (1982) A self-presentational view of social phenomena. Psych. Bull. 91(1):3–26. Crossref, Google Scholar
• Bertomeu J, Lin Y, Liu Y, Ni Z (2023) Capital market consequences of generative AI: Early evidence from the ban of ChatGPT in Italy. Preprint, submitted May 31, https://doi.org/10.2139/ssrn.4452670.Google Scholar
• Burtch G, Lee D, Chen Z (2023) The consequences of generative AI for UGC and online community engagement. Preprint, submitted July 29, https://doi.org/10.2139/ssrn.4521754.Google Scholar
• Chua CEH, Wareham J, Robey D (2007) The role of online trading communities in managing internet auction fraud. MIS Quart. 31(4):759–781.Crossref, Google Scholar
• Cohen MC, Hage-Youssef E, Khern-am-nuai W (2026) What happens when AI sets wages. Harvard Bus. Rev. 104(2):40–42.Google Scholar
• Corso F, Russo G, Pierri F (2024) A longitudinal study of Italian and French Reddit conversations around the Russian invasion of Ukraine. Aiello LM, Mejova Y, Seneviratne O, Sun J, Kaiser S, Staab S, eds. Proc. 16th ACM Web Sci. Conf. (Association for Computing Machinery (ACM), New York), 22–30.Google Scholar
• Deng Y, Zheng J, Khern-am-nuai W, Kannan K (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
• Eloundou T, Manning S, Mishkin P, Rock D (2024) GPTs are GPTs: Labor market impact potential of LLMs. Science (1979) 384(6702):1306–1308.Google Scholar
• Gollwitzer PM, Wicklund RA (1985) Self-symbolizing and the neglect of others’ perspectives. J. Personality Soc. Psych. 48(3):702–715.Crossref, Google Scholar
• Guo S, Guo X, Fang Y, Vogel D (2017) How doctors gain social and economic returns in online health-care communities: A professional capital perspective. J. Management Inform. Systems 34(2):487–519.Crossref, Google Scholar
• Hacker P, Engel A, Mauer M (2023) Regulating ChatGPT and other large generative AI models. Proc. ACM Conf. Fairness Accountability Transparency (Association for Computing Machinery (ACM), New York), 1112–1123.Google Scholar
• Harmon-Jones C, Schmeichel BJ, Harmon-Jones E (2009) Symbolic self-completion in academia: Evidence from department web pages and email signature files. Eur. J. Soc. Psych. 39(2):311–316.Crossref, Google Scholar
• Harper FM, Raban D, Rafaeli S, Konstan JA (2008) Predictors of answer quality in online Q&A sites. Czerwinski M, Lund AM, Tan DS, eds. Proc. SIGCHI Conf. Human Factors Comput. Systems (Association for Computing Machinery (ACM), New York), 865–874.Google Scholar
• Hermann E, Puntoni S, Morewedge CK (2025) GenAI and the psychology of work. Trends Cognition Sci. 29(9):802–813.Crossref, Google Scholar
• Howard A, Hope W, Gerada A (2023) ChatGPT and antimicrobial advice: The end of the consulting infection doctor? Lancet Infectious Dis. 23(4):405–406.Crossref, Google Scholar
• Ienca M (2023) Don’t pause giant AI for the wrong reasons. Nature Machine Intelligence 5:470–471.Crossref, Google Scholar
• Johnson SL, Faraj S, Kudaravalli S (2014) Emergence of power laws in online communities. MIS Quart. 38(3):795–808.Crossref, Google Scholar
• Jorzik P, Yigit A, Kanbach DK, Kraus S, Dabić M (2024) Artificial Intelligence-enabled business model innovation: Competencies and roles of top management. IEEE Trans. Engrg. Management 71:7044–7056.Crossref, Google Scholar
• Kasneci E, Seβler K, Küchemann S, Bannert M, Dementieva D, Fischer F, Gasser U, et al. (2023) ChatGPT for good? On opportunities and challenges of large language models for education. Learn. Individual Differences 103:102274.Crossref, Google Scholar
• Khern-am-nuai W, Kannan K, Ghasemkhani H (2018) Extrinsic versus intrinsic rewards for contributing reviews in an online platform. Inform. Systems Res. 29(4):871–892.Link, Google Scholar
• Khern-am-nuai W, Ghasemkhani H, Qiao D, Kannan K (2024) The impact of online Q&As on product sales: The case of Amazon answer. Inform. Systems Res. 35(2):747–765.Link, Google Scholar
• Kreitmeir DH, Raschky PA (2023) The unintended consequences of censoring digital technology—Evidence from Italy’s ChatGPT ban. Preprint, submitted April 18, https://arxiv.org/abs/2304.09339.Google Scholar
• Leung E, Paolacci G, Puntoni S (2018) Man versus machine: Resisting automation in identity-based consumer behavior. J. Marketing Res. 55(6):818–831.Crossref, Google Scholar
• Longoni C, Bonezzi A, Morewedge CK (2019) Resistance to medical artificial intelligence. J. Consumer Res. 46(4):629–650.Crossref, Google Scholar
• Lou J, Fang Y, Lim KH, Peng JZ (2013) Contributing high quantity and quality knowledge to online Q & A communities. J. Amer. Soc. Inform. Sci. Tech. 64(2):356–371.Crossref, Google Scholar
• Lysyakov M, Viswanathan S (2023) Threatened by AI: Analyzing users’ responses to the introduction of ai in a crowd-sourcing platform. Inform. Systems Res. 34(3):1191–1210.Link, Google Scholar
• Mousavi R, Raghu T, Frey K (2020) Harnessing artificial intelligence to improve the quality of answers in online question-answering health forums. J. Management Inform. Systems 37(4):1073–1098.Crossref, Google Scholar
• Oestreicher-Singer G, Zalmanson L (2013) Content or community? A digital business strategy for content providers in the social age. MIS Quart. 37(2):591–616.Crossref, Google Scholar
• Packard G, Wooten DB (2013) Compensatory knowledge signaling in consumer word-of-mouth. J. Consumer Psych. 23(4):434–450.Crossref, Google Scholar
• Pamuru V, Kar W, Khern-am-nuai W (2023) Status downgrade: The impact of losing status on a user-generated content platform. Production Oper. Management.Google Scholar
• Sengupta S (2020) “Learning to code in a virtual world” A preliminary comparative analysis of discourse and learning in two online programming communities. Bietz MJ, Wiggins A, eds. Proc. Conf. Comput. Supported Cooperative Work Social Comput. (Association for Computing Machinery (ACM), New York), 389–394.Google Scholar
• Susarla A, Gopal R, Thatcher JB, Sarker S (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
• Taecharungroj V (2023) “What can ChatGPT do?” analyzing early reactions to the innovative AI chatbot on Twitter. Big Data Cognitive Comput. 7(1):35.Crossref, Google Scholar
• Tanlamai J, Khern-am-nuai W, Cohen MC (2026) Generative AI and price discrimination in the housing market. Inform. Systems Res.Link, Google Scholar
• Teubner T, Flath CM, Weinhardt C, van der Aalst W, Hinz O (2023) Welcome to the era of ChatGPT et al. the prospects of large language models. Bus. Inform. Systems Engrg. 65(2):95–101.Crossref, Google Scholar
• Wasko MM, Faraj S (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
• Wicklund RA, Gollwitzer PM (1981) Symbolic self-completion, attempted influence, and self-deprecation. Basic Appl. Soc. Psych. 2(2):89–114.Crossref, Google Scholar
• Wing C, Simon K, Bello-Gomez RA (2018) Designing difference in difference studies: Best practices for public health policy research. Ann. Rev. Public Health 39:453–469.Crossref, Google Scholar
• Wojnicki AC, Godes D (2017) Signaling success: Word of mouth as self-enhancement. Customer Needs Solutions 4(4):68–82.Crossref, Google Scholar
• Xue M, Cao X, Feng X, Gu B, Zhang Y (2022) Is college education less necessary with AI? Evidence from firm-level labor structure changes. J. Management Inform. Systems 39(3):865–905.Crossref, Google Scholar
• Xue J, Wang L, Zheng J, Li Y, Tan Y (2026) Can ChatGPT kill user-generated Q&A platforms? Inform. Systems Res., ePub ahead of print May 21, https://doi.org/10.1287/isre.2023.0561.Google Scholar
• Yan L, Tan Y (2014) Feeling blue? Go online: An empirical study of social support among patients. Inform. Systems Res. 25(4):690–709.Link, Google Scholar
• Ye H, Yang X, Wang X, Stratopoulos TC (2021) Monetization of digital content: Drivers of revenue on Q&A platforms. J. Management Inform. Systems 38(2):457–483.Crossref, Google Scholar