报告人
Linfeng Li
University of Michigan
时间
2025年1月21日 星期二
上午 10:00-11:00
地点
308会议室
Abstract
This study explores why people choose to contribute metadata, which is data about data. Using a field experiment conducted with more than 3,000 authors of AEA journal articles, our control message reduces the uncertainty about the future value of metadata, whereas those from the treatment conditions additionally make the private or social benefits of metadata salient. Surprisingly, we find that participants in the control condition provide significantly more metadata compared to those in the treatments. This suggests that simply knowing that metadata will have value is sufficient to motivate people to contribute. Our results also highlight the importance of interface design in online field experiments.
Biography
Linfeng Li is a Postdoctoral Researcher and Lecturer at the University of Michigan's School of Information. He earned his Ph.D. in Information from the University of Michigan. His research uses field experiments to study human behavior and decision-making in digital economies, with a focus on contributions to digital public goods and the adoption of emerging technologies. Previously, at Amazon, he developed large-scale data solutions and experiments, providing insights into vendor negotiations and search behavior.
李林峰是密歇根大学信息学院的博士后研究员兼讲师。他在密歇根大学获得信息学博士学位。他的研究利用田野实验，研究数字经济中人类行为和决策，重点关注数字公共物品的贡献以及新兴技术的推广采用。在重新回归学术界之前，他在亚马逊工作了两年，从事大数据应用和实验设计工作，主要研究供应商谈判和搜索行为相关问题。
