About Me

Image of Dr. Michael Ann DeVito in a red dress

Hi, I’m Michael Ann (she/her)! I am an interdisciplinary social/behavioral scientist working in Human-Computer Interaction and Social Computing. I specialize in Human-Artificial Intelligence Collaboration in the context of social systems, especially social platforms. My research closes gaps in understanding between users and AI-driven social systems to enable sustainable, intentional, and mutually beneficial Human-AI collaboration. I develop and employ in-depth, qualitative, participatory methods to examine and address friction and distrust-inducing disconnects, often in the context of marginalized identity and communities. I contribute both new theory and practical design implications, drawing from and building on work in Human-Centered Computing (HCC), Computer Supported Cooperative Work (CSCW), Computer Mediated Communication (CMC), Social Computing, and Cognitive Psychology. 

I do much of this work as a member-researcher, bringing my research expertise to communities that I am a part of, such as the LGBTQ+ community. I embrace my identity as a transgender woman, lesbian, and neurodivergent person in my research, and encourage others to do the same. I also mentor junior researchers who want to learn how to do this kind of research in their own marginalized communities. 

I am currently a Postdoctoral Computing Innovation Fellow in the Department of Information Science at the University of Colorado Boulder, where I work in the Identity Lab. Prior to coming to CU Boulder, I earned my PhD in Media, Technology, and Society at Northwestern University‘s School of Communication, where I also specialized in Cognitive Science and worked in the Social Media Lab.

In the very small sliver of my life that exists outside the bounds of academia, I’m mostly into cats (all kinds), robots (friendly), space (outer), guitar (loud), and overly-involved roleplaying games (wizards).


Latest News

Latest Publications

How Transfeminine TikTok Creators Navigate the Algorithmic Trap of Visibility Via Folk Theorization

Michael Ann DeVito. 2022. How Transfeminine TikTok Creators Navigate the Algorithmic Trap of Visibility Via Folk Theorization. In Proceedings of the ACM on Human-Computer Interaction, Vol. 6, CSCW2, Article 380 (November 2022), 31 pages, https://doi.org/10.1145/3555105

“Do You Ladies Relate?”: Experiences of Gender Diverse People in Online Eating Disorder Spaces

Jessica L. Feuston, Michael Ann DeVito, Morgan Klaus Scheuerman, Katy Weathington, Marianna Benitez, Bianca Z. Perez, Lucy Sondheim, and Jed R. Brubaker. 2022. “Do You Ladies Relate?”: Experiences of Gender Diverse People in Online Eating Disorder Communities. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 420 (November 2022), 32 pages. https://doi.org/10.1145/3555145

Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms

Michael Ann DeVito. 2021. Proceedings of the ACM on Human-Computer Interaction, 5, CSCW2, Article 339.

Values (Mis)alignment: Exploring Tensions Between Platform and LGBTQ+ Community Design Values

Michael Ann DeVito, Ashley Marie Walker, and Julia R. Fernandez. 2021. Proceedings of the ACM on Human-Computer Interaction, 5, CSCW1, Article 88.

“Facebook Promotes More Harassment”: Social Media Ecosystem, Skill and Marginalized Hijra Identity in Bangladesh

Fayika Farhat Nova, Michael Ann DeVito, Pratyasha Saha, Kazi Shohanur Rashid, Shashwata Roy Turzo, Sadia Afrin, and Shion Guha. 2021. Proceedings of the ACM on Human-Computer Interaction. 5, CSCW1, Article 157.