Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
ChatGPT, 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.
Recommended Citation
Schaschek, Myriam, "Platform Content Convergence? Investigating ChatGPT’s Impact on Airbnb Listings" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 3.
https://aisel.aisnet.org/hicss-58/in/ai_based_assistants/3
Platform Content Convergence? Investigating ChatGPT’s Impact on Airbnb Listings
Hilton Waikoloa Village, Hawaii
ChatGPT, 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.
https://aisel.aisnet.org/hicss-58/in/ai_based_assistants/3