Yu Ding
Assistant Professor of Marketing
Academic Area:
Research Statement
Yu Ding’s research aims to help firms address trust deficits. His research topics cover trust in authority (e.g., science), trust in brands (e.g., news media), trust in people (e.g., strangers), and debiasing, in contexts of misinformation and social media. Ding employs different methods to study these problems, including lab experiments, field studies, archival data analyses, and statistical and machine learning techniques. His recent research addresses the problem of information overload that results in a lack of ability to discern true from false information, and hence general distrust, ambivalence, and skepticism towards information.
Research Interests
- Trust
- Debiasing
- Misinformation
- Social Media
Teaching Statement
Ding believes that an educator should develop deep expertise in the subject matter of courses they teach, and at the same time should engage with students so that they are active participants in their own education. Students learn best when they are involved and proactively engaged through activities such as company projects, case discussions, and simulations. Ding aims to bring theory and practice closer together in his teaching, and hope to discuss and teach the latest research findings and methodological tools in classes, as appropriate.
Bio
Ding is an assistant professor of marketing at Stanford Graduate School of Business. He received his PhD in marketing from Columbia University. His research has been published in top marketing, management, and psychology journals, such as the Journal of Consumer Research, Journal of Marketing Research, Organizational Behavior and Human Decision Processes, and Journal of Personality and Social Psychology. He has been awarded prestigious fellowships and awards, including the Computational Social Science Grant from Russell Sage Foundation (2020), ACR-Sheth Foundation Dissertation Award (2020), John A. Howard/AMA Doctoral Dissertation Award (2022), and the American Marketing Association’s Rising Star Award (2022).
Academic Degrees
- PhD in Marketing, Columbia University, 2022
- MS in Statistics, National University of Singapore, 2016
- BA (with Honors) in Marketing, Fudan University, 2013
Awards and Honors
- John A. Howard/AMA Doctoral Dissertation Award, 2022
- AMA-CBSIG Rising Star Award, 2022
- ACR-Sheth Foundation Dissertation Award, 2020
- Computational Social Science Grant, Russell Sage Foundation, 2020
- AMA-Sheth Doctoral Symposium Fellow, Indiana University, 2020
- Chazen Doctoral Research Grant, Columbia Business School, 2020
- Deming Doctoral Fellow Grant, Columbia Business School, 2019
- University of Houston Marketing Doctoral Symposium Fellow, 2019
- Luxury Education Foundation Doctoral Fellow, Columbia Business School, 2018
- LVMH-SMU Luxury Research Conference Special Award, 2018
- Chazen Global Research Grant, Columbia Business School, 2017
- Behavioral Research Lab Fellowship, Columbia Business School, 2016
- Doctoral Fellowship, Columbia Business School, 2016-2021
Publications
Journal Articles
Teaching
Degree Courses
In the Media
We used Twitter’s Academic Research API to scrape 16 months of tweets from thousands of media outlets. We highlight three main takeaways from our study that show how X-Twitter has fundamentally changed for users after the Musk purchase: On Elon Musk’s X, users are much less interested in fact-checker accounts, much less engaged with pro-science accounts, and much more engaged with extreme media outlets (and less engaged with the least-biased media outlets).