主讲人：尹德志（南佛罗里达大学穆马商学院）

讲座摘要：In contrast to a growing stream of research in IS and related fields on the automated detection of “fake” online reviews, little is known about whether and why consumers trust reviews of unknown veracity. We explore the extent to which consumers perceive reviews as real (versus fake), the accuracy of those perceptions, and how they are influenced by review valence. Integrating literature on truth-default theory and deception motives, we propose that consumers have a general tendency to view reviews as real rather than fake (a truth bias) and are more accurate at detecting real reviews than fake reviews (a veracity effect), but that the truth bias and veracity effect are weaker for positive reviews than negative reviews. To test our hypotheses, we conducted five experiments in which participants were shown a set of reviews and classified each review as real or fake. The results supported our theorizing and identified the perception of deception motives as an important process mechanism. Our findings offer important implications for firms and review platforms as they establish priorities for combating fake reviews.

讲座时间：6月25日（星期二），早上9：30-11：30

讲座地点：学院南路校区主教105研讨室

主讲人简介：尹德志(Dezhi Yin)，南佛罗里达大学穆马商学院，信息系统与管理系副教授(终身)，博士生导师。2012年获得佐治亚理工学院大学博士学位，主要研究方向包括: 虚拟AI代理、嵌入式AI和用户生成内容，在UTD24、FT-50国际著名期刊的Information Systems Research、MIS Quarterly、Production and Operations Management等发表高质量论文10多篇，连续多年在信息管理领域的重要刊物和会议担任匿名审稿专家。2022年获得Pre-ICIS研究研讨会最佳论文二等奖，2021年的INFORMS信息系统协会（ISS）获得Sandra A. Slaughter Early Career奖，2021年获工业与组织心理学学会William A. Owens Scholarly Achievement Award，2021年获Information Systems Research期刊的最佳审稿人奖，2017年MIS Quarterly期刊的年度杰出审稿人奖。

主办：中国互联网经济研究院

此次讲座获“高等学校学科创新引智基地资助”(Supported by the 111 Center)（B20094），特此致谢。

撰稿：王天梅      排版：王昱洁

初审：孙宝文      复审：王立勇