讲座：Can Social Media Help Us Stop Citing Retracted Articles?
题 目：Can Social Media Help Us Stop Citing Retracted Articles?
嘉 宾：徐海峰 研究员 新加坡国立大学
主持人 ：鲍杨 讲师 安泰经济与管理学院 管理信息系统系
时 间：2019年1月25日（周五） 10:00-11:30
地 点：上海交通大学 徐汇校区新上院S204室
Continued use of retracted articles amplifies adverse consequences of publishing flawed knowledge. Despite previous calling for more effective means to prevent the invalid use of literature, little is known about the role of social media in reducing post-retraction citations of retracted articles. By leveraging retraction related posts made on Retraction Watch (RW), we conducted a natural experiment to examine the effects of social media reporting on alleviating continued use of retracted articles. We found that social media reporting significantly reduced post-retracted citations of non-swiftly retracted articles in the first two years after retraction. The effects were significant for articles written by either renowned authors or non-renowned authors, published in high-impact journals, not retracted by author(s), and retracted due to research misconduct, plagiarism or duplicate publication. Based on these findings, we suggest social media effectively reduced post-retraction citations when traditional methods were inadequate to prevent the future use of invalid literature. As an initial attempt to examine the effects of social media in academia, this study provides novel insights into the intersection between social media and the scientific community. It has significant implications on how and under what circumstances the scientific community can leverage social media to alleviate the propagation of flawed knowledge. It also offers suggestions to practitioners on what types of retracted articles should be given a high priority to be reported on social media.
Dr. Haifeng Xu is currently a research fellow in the Department of Information Systems and Analytics at the National University of Singapore. He obtained his PhD degree in Information Systems from the National University of Singapore, under the supervision of Professor Bernard C. Y. Tan. He holds a Bachelor of Science degree in Computer Science from Fudan University. His research has been primarily oriented toward four areas: (1) mental health problems in social media; (2) social media and scientific community; (3) browsing behavior at e-commerce websites; (4) online financial behavior. He has presented his work at leading IS conferences, such as International Conference on Information Systems (ICIS) and Pacific Asia Conference on Information Systems (PACIS). He has served as a reviewer for top IS journals, such as Information Systems Research (ISR) and Journal of the Association for Information Systems (JAIS), and will serve as an Associate Editor for ICIS 2019.