信息管理与商业智能系学术讲座

时间：2024-12-31 13:30-14:30

地点：李达三楼104室

题目：Can Crowdchecking Curb Misinformation? Evidence from Community Notes

主讲人：芮华夏罗切斯特大学教授

主持人：张诚信息管理与商业智能系教授

内容摘要:

To battle against misinformation, social media platforms are experimenting with crowdsourced fact-checking—systems that rely on social media users’ annotations of potentially misleading content. This paper focuses on Twitter’s Community Notes to empirically investigate the efficacy of such systems in curbing misinformation. Utilizing two identification strategies—regression discontinuity design and instrumental vari-able analysis—we confirm the effectiveness of publicly displaying community notes on an author’s voluntary tweet retraction, demonstrating the viability of crowdsourced fact-checking as an alternative to professional fact-checking and forcible content removal. Our findings also reveal that the effect is primarily driven by the author’s consideration of misinformation’s influence on users who have actively engaged with it (i.e.,“observed influence”) rather than those who might be exposed to it (i.e., “presumed influence”). We also uncover varying effects of publicly displayed community notes depending on specific tweet- and user-level characteristics, underscoring the importance of contextual factors to harness the full potential of crowd-sourced fact-checking. Furthermore, results from discrete-time survival analyses show that publicly displaying community notes not only increases the probability of tweet retractions but also accelerates the retraction process among retracted, thereby improving platforms’ responsiveness to emerging misinformation. This study offers important insights to both social media platforms and policymakers on the promise of crowd- ourced fact-checking and calls for the broad participation of social media users to collectively tackle the problem of misinformation.

嘉宾简介:

Huaxia Rui is the Xerox Chair Professor at Simon Business School and an affiliated faculty at Goergen Institute for Data Science and Artificial Intelligence, the University of Rochester. He is broadly interested in AI, economics, and social media, and has published in premier academic journals in information systems, management, and economics. His research has also been covered in media such as Financial Times, The Wall Street Journal, Bloomberg, Yahoo! News, and LSE Business Review. He mainly teaches business modeling and AI & Deep Learning to MBA/MS students at Simon Business School. Dr. Rui received his Ph.D. from University of Texas at Austin and his bachelor's degree from Tsinghua University.