讲座简介

With the rapid integration of generative AI into commercial sectors, several companies are delving into strategies to leverage these technological innovations. Although many companies have already implemented generative AI tools in their operations, there remains a dearth of empirical data to validate their efficacy. In response to this demand for scientific investigation, our research paper aims to examine the impact of AI Abstract—a relatively novel generative AI tool—on future user engagement. By collecting data from Baidu News and applying difference-in-difference (DID) analytical approach, this study uncovers a significant decrease in the quantity and quality of subsequent user reviews toward thenews articles accompanied byAI abstracts. Furthermore, the status of news creatorshas been found to amplify the demotivating effectsof AI abstracts. Given the growing popularity of generative AI tools, these findings provide critical insights for content sharing platforms considering using these AI-powered tools to enhance the user activity.