Platform Content Convergence? Investigating ChatGPT’s Impact on Airbnb Listings

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dc.contributor.authorSchaschek, Myriam
dc.date.accessioned2024-12-26T21:07:33Z
dc.date.available2024-12-26T21:07:33Z
dc.date.issued2025-01-07
dc.description.abstractChatGPT, a generative artificial intelligence-based application, is changing content generation on digital platforms. Anecdotal evidence suggests a convergence of content with increasing writing support. Yet, rapid content convergence puts platforms' value at risk. Thus, we test for a trend of content before and after the introduction of ChatGPT. In particular, we examine linguistic indices that quantify the content characteristics. For the analyses, we use content from the Airbnb online marketplace from different time periods. Our findings suggest a significant difference in the content measured with average pairwise textual similarity. Furthermore, we identify discriminating factors for control and treatment group membership and elucidate factors contributing to textual similarity changes. We contribute to the platform governance literature by empirically testing the impact of generative AI on platform content generation and discussing its implications for platform providers' strategic considerations.
dc.format.extent10
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other1f7e54ae-550f-4932-a997-8b34b1c57174
dc.identifier.urihttps://hdl.handle.net/10125/109301
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArtificial Intelligence-based Assistants and Platforms
dc.subjectairbnb, chatgpt, content generation, convergence, quasi-experiment
dc.titlePlatform Content Convergence? Investigating ChatGPT’s Impact on Airbnb Listings
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage3790

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