The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment
Xinyi Zhang, Chenshuo Sun, Renyu Zhang, Khim-Yong Goh

TL;DR
This large-scale experiment demonstrates that AI-generated titles significantly increase content consumption and improve user-video matching on UGC platforms, especially when combined with human editing.
Contribution
The study provides empirical evidence of the positive impact of AI-generated metadata on user engagement and introduces insights into human-AI co-creation benefits.
Findings
AI-generated titles increased valid watches by 1.6% and watch duration by 0.9%.
Adoption of AI-generated titles by producers led to 7.1% more views.
Human-AI co-created titles outperformed fully AI or human-generated titles.
Abstract
AI-generated content (AIGC), such as advertisement copy, product descriptions, and social media posts, is becoming ubiquitous in business practices. However, the value of AI-generated metadata, such as titles, remains unclear on user-generated content (UGC) platforms. To address this gap, we conducted a large-scale field experiment on a leading short-video platform in Asia to provide about 1 million users access to AI-generated titles for their uploaded videos. Our findings show that the provision of AI-generated titles significantly boosted content consumption, increasing valid watches by 1.6% and watch duration by 0.9%. When producers adopted these titles, these increases jumped to 7.1% and 4.1%, respectively. This viewership-boost effect was largely attributed to the use of this generative AI (GAI) tool increasing the likelihood of videos having a title by 41.4%. The effect was more…
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Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · FinTech, Crowdfunding, Digital Finance
