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Jeanne Tsai | Stanford HAI

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peopleFaculty

Jeanne Tsai

Professor of Psychology

External Bio

Jeanne L. Tsai is currently Professor of Psychology in the Department of Psychology at Stanford University, and the Director of the Stanford Culture and Emotion Lab. She earned her B.A. in psychology at Stanford, and then her PhD in clinical psychology at UC Berkeley. After doing her clinical internship and post-doc at UCSF in minority mental health, she was an assistant professor at the University of Minnesota from 1997-2000. She joined the faculty in the psychology department at Stanford in 2000. 

Professor Tsai is broadly interested in the cultural shaping of emotion and its implications for health, decision-making, and person perception. Her work is currently funded by the National Science Foundation and has been funded by the National Institute of Mental Health, the National Institute on Aging, and the National Alliance for Research on Schizophrenia and Depression. She is former Associate Editor of the journal Emotion, and current fellow of the Association for Psychological Science, American Psychological Association, Society for Personality and Social Psychology, and Society for Experimental Social Psychology. At Stanford, she has received the Dean’s Award for Distinguished Teaching and the Asian American Activities Center Faculty Award.

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Latest Related to Jeanne Tsai

Research
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Internal Fractures: The Competing Logics of Social Media Platforms

Jeanne Tsai, Jeffrey Hancock, Angèle Christin, Michael S. Bernstein, Chenyan Jia, Chunchen Xu
Sciences (Social, Health, Biological, Physical)Communications, MediaAug 21

Social media platforms are too often understood as monoliths with clear priorities. Instead, we analyze them as complex organizations torn between starkly different justifications of their missions. Focusing on the case of Meta, we inductively analyze the company’s public materials and identify three evaluative logics that shape the platform’s decisions: an engagement logic, a public debate logic, and a wellbeing logic. There are clear trade-offs between these logics, which often result in internal conflicts between teams and departments in charge of these different priorities. We examine recent examples showing how Meta rotates between logics in its decision-making, though the goal of engagement dominates in internal negotiations. We outline how this framework can be applied to other social media platforms such as TikTok, Reddit, and X. We discuss the ramifications of our findings for the study of online harms, exclusion, and extraction.

Research
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How Culture Shapes What People Want From AI

Hazel Markus, Jeanne Tsai, Daigo Misaki, Xiao Ge, Chunchen Xu
Design, Human-Computer InteractionSciences (Social, Health, Biological, Physical)May 11

There is an urgent need to incorporate the perspectives of culturally diverse groups into AI developments. We present a novel conceptual framework for research that aims to expand, reimagine, and reground mainstream visions of AI using independent and interdependent cultural models of the self and the environment. Two survey studies support this framework and provide preliminary evidence that people apply their cultural models when imagining their ideal AI. Compared with European American respondents, Chinese respondents viewed it as less important to control AI and more important to connect with AI, and were more likely to prefer AI with capacities to influence. Reflecting both cultural models, findings from African American respondents resembled both European American and Chinese respondents. We discuss study limitations and future directions and highlight the need to develop culturally responsive and relevant AI to serve a broader segment of the world population.