Most up-to-date list: Google Scholar
Journal Publications
Stevie Chancellor, Jessica Feuston, and Jayhyun Chang. (2023) Contextual Gaps in Machine Learning for Mental Illness Prediction: The Case of Diagnostic Disclosures. In Proceedings of the ACM – Human Computer Interaction (PACM-HCI), presented at CSCW 2023. PDF | ACM DL
Leah Ajmani, Nick Vincent, and Stevie Chancellor. (2023). Peer-Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration. In Proceedings of the ACM – Human Computer Interaction (PACM-HCI), presented at CSCW 2023. PDF | ACM DL
Mo Houtti, Moyan Zhou, Loren Terveen, and Stevie Chancellor (2023). “All of the White People Went First”: How Video Conferencing Consolidates Control and Exacerbates Workplace Bias. In Proceedings of the ACM – Human Computer Interaction (PACM-HCI), presented at CSCW 2023. Best Paper Honorable Mention. CSCW Impact Recognition. PDF | ACM DL
Stevie Chancellor. Toward Practices for Human-Centered Machine Learning. Communications of the ACM (CACM). 2023. Link
Stevie Chancellor, Steven A Sumner, Corinne David-Ferdon, Tahirah Ahmad, Munmun De Choudhury. (2021). Suicide risk and protective factors in online support forum posts: annotation scheme development and validation study. In JMIR Mental Health. JMIR MH Link
Crystal Gong, Koustuv Saha, and Stevie Chancellor. (2021). “The Smartest Decision for My Future”: Social Media Reveals Challenges and Stress During Post-College Life Transitions. In the Proceedings of the ACM – Human Computer Interaction (PACM-HCI), presented at CSCW 2021. PDF | ACM DL
Joseph Seering, Geoff Kauffman, and Stevie Chancellor. (2020). Metaphors in Moderation. In New Media & Society. PDF of pre-print | New Media & Society link
Stevie Chancellor and Munmun De Choudhury. (2020). Methods in Predictive Techniques for Mental Health Status on Social Media: A Critical Meta-Review. In Nature Partner Journal – Digital Medicine. Open access link
Karla Badillo-Urquiola, Chhaya Chouhan, Stevie Chancellor, Munmun De Choudhury, and Pamela Wisniewski. (2019). Using a Value-Based Approach to Redesign Parental Control Apps for Adolescent Online Safety with College Students. In Journal of Adolescent Research. Link
Stevie Chancellor, Eric P.S. Baumer, and Munmun De Choudhury. (2019). Who is the “Human” in Human-Centered Machine Learning: The Case of Predicting Mental Health from Social Media. In the Proceedings of the ACM – Human-Computer Interaction (PACM-HCI), presented at CSCW 2019. Best Paper Honorable Mention. PDF | ACM DL
Conference Publications
Abhraneel Sarma, Soyheon Hwang, Evey Huang, Eshwar Chandrasekharan, and Stevie Chancellor}. (2024). Opportunities, tensions, and challenges in computational approaches to addressing online harassment. Accepted and forthcoming at ACM Designing Interactive Systems (DIS 2024). PDF | ACM DL
Nuredin Ali, Charles Chuaunkai Zhang, Ned Mayo, and Stevie Chancellor. (2024). Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter. In NAACL 2024 Main Conference. PDF | ACL Anthology
Leah Ajmani, Logan Stapleton, Mo Houtti, and Stevie Chancellor. (2024). Data Agency Theory: A Precise Theory of Justice for AI Applications. In FAccT 2024. PDF | ACM DL
Jackie Chan, Charlotte Lambert, Frederick Choi, Stevie Chancellor, and Eshwar Chandrasekharan. (2024). Understanding Community Resilience: Quantifying the Effects of Sudden Popularity via Algorithmic Curation. In ICWSM. PDF | AAAI Repo
Ashlee Milton, Juan Fernando Maestre, Abhishek Roy, Rebecca Umbach, and Stevie Chancellor. Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information. In CHI 2024. PDF | ACM DL
Logan Stapleton, Sunniva Liu, Cindy Liu, Irene Hong, Stevie Chancellor, Robert Kraut, and Haiyi Zhu. “If This Person is Suicidal, What Do I Do?”: Designing Computational Approaches to Help Online Volunteers Respond to Suicidality. (2024). In CHI 2024. PDF | ACM DL
Leah Ajmani*, Stevie Chancellor*, Bijal Mehta, Casey Fiesler, Michael Zimmer, Munmun De Choudhury. (2023) A Systematic Review of Ethics Disclosures in Predictive Mental Health Research. In ACM Conference on Fairness, Accountability, and Transparency – FAccT (2023). PDF | ACM DL
Hanlin Li, Nicholas Vincent, Stevie Chancellor, and Brent Hecht. (2023). The Dimensions of Data Labor: A roadmap for Activists, Researchers, and Practitioners to Empower Data Producers. The 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT’23). ACM DL | PDF
Ashlee Milton, Leah Ajmani, Michael Ann DeVito, and Stevie Chancellor. (2023). ” I See Me Here: Mental Health Content, Community, and Algorithmic Curation on TikTok ” Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. PDF | ACM DL
Hanlin Li, Brent Hecht, and Stevie Chancellor (2022). Measuring the Monetary Value of Online Volunteer Work. In the Proceedings of ICWSM 2022. Best Paper Honorable Mention. PDF | Link
Hanlin Li, Brent Hecht, and Stevie Chancellor (2022). All that’s happening behind the scenes: Putting the spotlight on volunteer moderator labor in reddit. In the Proceedings of ICWSM 2022. PDF | Link
Nick Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, and Brent Hecht. (2021). Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies. In the Proceedings of ACM Fairness, Accountability and Transparency Conference (FAccT). arXiv link | ACM DL
Stevie Chancellor, George Nitzburg, Andrea Hu, Francisco Zampieri, and Munmun De Choudhury. (2019). Discovering Alternative Treatments for Opioid Use Recovery in Social Media. In the Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI). PDF | ACM DL
Stevie Chancellor, Michael Birnbaum, Eric Caine, Vince Silenzio, and Munmun De Choudhury. (2019). A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media. In Proceedings of the ACM Fairness, Accountability, and Transparency (FAT*) Conference. PDF | ACM DL
Stevie Chancellor and Scott Counts. (2018). Measuring Employment Demand Using Internet Search Data. In Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2018. Best Paper Honorable Mention. PDF | ACM DL
Stevie Chancellor, Andrea Hu, and Munmun De Choudhury. (2018). Norms Matter: Contrasting Social Support Around Behavior Change in Online Weight Loss Communities. In Proceedings of the 35th Annual ACM Conference on Human Factors in Computing Systems. CHI 2018. PDF | ACM DL
Stevie Chancellor, Yannis Kalantidis, Jessica Pater, Munmun De Choudhury, and David A Shamma (2017). Multimodal Classification of Moderated Online Pro-Eating Disorder Content. In Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2017. PDF | ACM DL
Stevie Chancellor, Zhiyuan (Jerry) Lin, and Munmun De Choudhury. (2016). “This Post Will Just Get Taken Down”: Characterizing Removed Pro-Eating Disorder Social Media Content. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. CHI 2016. PDF | ACM DL
Stevie Chancellor, Tanushree Mitra, and Munmun De Choudhury. (2016). Recovery Amid Pro-Anorexia: Analysis of Recovery in Social Media. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. CHI 2016. PDF | ACM DL
Stevie Chancellor, Jessica Pater, Trustin Clear, Eric Gilbert, and Munmun De Choudhury. (2016). #thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities. In Proceedings of the Conference on Computer-Supported Cooperative Work and Social Computing. CSCW 2016. Best Paper Honorable Mention. PDF | ACM DL
Stevie Chancellor, Zhiyuan (Jerry) Lin, Erica Goodman, Stephanie Zerwas, and Munmun De Choudhury. (2016). Quantifying and Predicting Mental Illness Severity in Online Pro-Eating Disorder Communities. In Proceedings of the ACM Conference on Computer-Supported Cooperative Work and Social Computing. CSCW 2016. Best Paper Honorable Mention. PDF | ACM DL
Evan Barba and Stevie Chancellor. (2015) Tangible Media Approaches to Introductory Computer Science. In Proc. iTiCSE 2015: 20th Annual Conference on Innovation and Technology in Computer Science Education. ACM DL
