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University of Michigan School of Information

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Nazanin Andalibi

Assistant Professor of Information, School of Information and Assistant Professor of Digital Studies Institute, College of Literature, Science, and the Arts Email: Phone: 734/763-1460
Office: School of Information/105 S State St. Faculty Role: Faculty Potential PhD Faculty Advisor: Yes Personal website


I use mixed methods to investigate social media’s use and roles in relation to self-disclosure, social support exchange, and other disclosure behavior outcomes and responses to them. I concentrate on experiences that can be distressing, traumatizing, isolating, or stigmatized, and contribute to poor wellbeing. Broadly, in these contexts, I address how we can design social computing systems that facilitate beneficial sensitive disclosures and desired disclosure outcomes such as (but not limited to) exchanging social support, meaningful interactions, reciprocal disclosures, and reduced stigma. Some contexts my work has focused on in the past include: mental health, sexual abuse, and pregnancy loss.

The research trajectory described above focuses on other social media users as information/disclosure recipients. I also investigate people's attitudes and concerns when companies and algorithms are audiences or recipients of one's sensitive information. This work goes beyond social media applications to include other types of social technologies. I critically examine the ways emerging technologies such as emotion artificial intelligence may engage with humans in times of distress or in otherwise private and personal settings. I explore the extent to which designing these technologies is appropriate in different contexts, and investigate what it would take for them to be sensitive to and foreground people's values, needs, and desires.

Areas of interest

Human-Computer Interaction (HCI); Social Computing, Computer-Supported Cooperative Work (CSCW); Computer-Mediated Communication (CMC); social media; social technologies, stigma, & distress; marginality; self-disclosure & privacy; social support; wellbeing; reproductive health; emotion artificial intelligence and ethics.


PhD Information Studies, Drexel University

MS Socio-technical Systems, Stevens Institute of Technology

BS Theoretical Computer Science, Sharif University of Technology


"Congratulations 2022 UMSI Diversity, Equity and Inclusion Awards Recipients."
UMSI announces 2022 DEI Awards recipients

Learn about this year's UMSI DEI Awards recipients and their far-reaching, positive effects on the school’s diversity, equity and inclusion efforts.

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"Quoted by Protocol, Assistant professor Nazanin Andalibi, 'Why emotion AI sets off warning bells, but sentiment analysis does not.'" Headshot of Nazanin Andalibi.
Andalibi: Should AI technologies be used to detect emotions?

Nazanin Andalibi says that replacing problematic facial recognition technology means a shift to other sensitive data. Instead, she says that identifying emotions with AI tech requires an integrated approach that focuses on reducing bias concerns.

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