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Through such collective actions, communities have sometimes won concessions, but these have frequently proved to be temporary. Although previous research has investigated strike events and migration chains, the processes by which community-platform conflict unfolds remain obscure. How do community-platform relationships deteriorate? How do communities organize collective action? How do the participants proceed in the aftermath? We investigate a conflict between the Stack Exchange platform and community that occurred in 2023 around an emergency arising from the release of large language models (LLMs). Based on a qualitative thematic analysis of 2,070 messages from Meta Stack Exchange and 14 interviews with community members, we reveal how the 2023 conflict was preceded by a long-term deterioration in the community-platform relationship, driven in particular by the platform\u2019s disregard for the community\u2019s highly valued participatory role in governance. Moreover, the platform\u2019s policy response to LLMs aggravated the community\u2019s sense of crisis, triggering strike mobilization. We analyze how the mobilization was coordinated through a tiered leadership and communication structure, as well as how community members pivoted in the aftermath. Building on recent theoretical scholarship in social computing, we use Hirschman\u2019s exit, voice, and loyalty framework to theorize the challenges of community-platform relations evinced in our data. Finally, we recommend ways that platforms and communities can institute participatory governance to be durable and effective.<\/jats:p>","DOI":"10.1145\/3788040","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T15:29:14Z","timestamp":1779290954000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AI Didn't Start the Fire: Examining the Stack Exchange Moderator and Contributor Strike CSCW004"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0871-9225","authenticated-orcid":false,"given":"Yiwei","family":"Wu","sequence":"first","affiliation":[{"name":"School of Information","place":["Austin, USA"]},{"name":"The University of Texas at Austin","place":["Austin, USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2468-6070","authenticated-orcid":false,"given":"Leah","family":"Ajmani","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering","place":["Minneapolis, USA"]},{"name":"University of Minnesota","place":["Minneapolis, USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3333-5013","authenticated-orcid":false,"given":"Nathan","family":"TeBlunthuis","sequence":"additional","affiliation":[{"name":"School of Information","place":["Austin, USA"]},{"name":"The University of Texas at Austin","place":["Austin, USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0688-9918","authenticated-orcid":false,"given":"Hanlin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information","place":["Austin, USA"]},{"name":"The University of Texas at Austin","place":["Austin, USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,5,20]]},"reference":[{"key":"e_1_3_2_2_2","volume-title":"Undeclared AI-generated text in Wikipedia: A tale of caution Wikimania 2025","year":"2025","unstructured":"2025. 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