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FAcct 2024 and ICWSM: UMSI Research Roundup

Recent publications by UMSI faculty and PhD students. ACM FAccT Conference and ICWSM 2024. Recent publications by UMSI faculty and PhD students.

Monday, 06/03/2024

The ACM FAccT conference (Rio de Janeiro, Brazil) and the 18th International AAAI Conference on Web and Social Media (Buffalo, New York) will be held from June 3rd to June 6th. Several University of Michigan School of Information researchers will be presenting their work. 

PAPERS (ACM FAccT Conference)

Misgendered During Moderation: How Transgender Bodies Make Visible Cisnormative Content Moderation Policies and Enforcement in a Meta Oversight Board Case

Samuel Mayworm, Kendra Albert, Oliver L. Haimson

Trans-centered moderation: Trans technology creators and centering transness in platform and community governance

Hibby ThachSamuel MaywormMichaelanne ThomasOliver L. Haimson

The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment

Nari Johnson, Sanika Moharana, Christina Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami, 

Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau’s Adoption of Differential Privacy

Amina A. Abdu, Lauren M. Chambers, Deirdre K. Mulligan, Abigail Z. Jacobs

Constructing Capabilities: The Politics of Testing Infrastructures for Generative AI

Gabriel Grill 

Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology

Rishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, Vivek Seshadri,  Kalika Bali 

Perceptions of Policing Surveillance Technologies in Detroit: Moving Beyond "Better than Nothing"

Alex Jiahong Lu, Cameron Moy, Mark S. Ackerman, Jeffrey Morenoff, Tawanna R. Dillahunt

One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations

Yoonjoo Lee, Kihoon Son, Tae Soo Kim, Jisu Kim, John Joon Young Chung, Eytan Adar, Juho Kim

Tutorials (ACM FAccT Conference)

What is Sociotechnical AI Safety? A participatory workshop about defining and expanding responses to sociotechnical risk in AI Safety

Dialogue/Implications Tutorial Andrew Smart, Shazeda Ahmed, Jake Metcalf, Atoosa Kasirzadeh, Luca Belli, Shalaleh Rismani Roel Dobbe, Abbie Jacobs, Joshua A. Kroll, Donald Martin Jr, Renee Shelby, Heidy Khlaaf, Genevieve Smith

Our goal is to invite discussion and critique of the currently dominant ideas around AI safety, and to shed light on alternative research. The purpose of this Tutorial session is to give space to well established research fields such as systems safety engineering, sociotechnical work in labor studies, that have received less attention than work on alignment or the control of existential risks. At the same time, the session aims to critique and expand the current understanding of AI Safety in order to offer a path forward for research and practice that centers equity, participatory approaches, expanding the kinds of expertise that are relevant, and community inclusion. This research program focuses on current, actual, societal harms from the development and deployment of AI systems, and adapts safety and systems science and engineering approaches to the problem of mitigating risk from these systems, relating existing and emerging technical tools to sociotechnical risks in structured and scientific ways. These approaches are in turn informed by critical social science research so that a synthesis between societal understanding and organizational/technical risk mitigation actually reduces harm to society. Finally, this research program sees the problem of AI Safety not as a technical or mathematical problem, but rather as a social, organizational, political and cultural problem in guiding the development and use of technology. This problem takes on particular urgency as policy responses such as the creation of the U.S. AI Safety Institute and the passage of the EU AI Act demand operationalizing AI Safety in ways that capture sociotechnical risks.

PAPERS (AAAI ICWSM Conference on Web and Social Media)

Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers

Siqi WuPaul Resnick

Digital town square? Nextdoor's offline contexts and online discourse

Megan A. Brown, Zeve Sanderson, Sarah Graham, Minjoo Kim, Joshua A. Tucker, Solomon Messing

How to Train Your YouTube Recommender to Avoid Unwanted Videos

Alexander Liu, Siqi Wu, Paul Resnick

Landscape of Large Language Models in Global English News: Topics, Sentiments, and Spatiotemporal Analysis

Lu XianLingyao Li, Yiwei Xu, Ben Zefeng ZhangLibby Hemphill

With Flying Colors: Predicting Community Success in Large-Scale Collaborative Campaigns

Abraham Israeli, Oren Tsur

Emoji Promotes Developer Participation and Issue Resolution on GitHub

Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai

Emergent Influence Networks in Good-Faith Online Discussions 

Henry Kudzanai Dambanemuya, Daniel Romero, Emoke Agnes Horvat

Intermedia Agenda Setting during the 2016 and 2020 U.S. Presidential Elections 

Yijing Chen; Yaguang Liu; Lisa Singh; Ceren Budak

Dataset Track Posters (AAAI Conference on Web and Social Media)

A Multilingual Similarity Dataset for News Article Frame

Xi Chen, Mattia Samory, Scott A. Hale, David Jurgens, Przemyslaw Grabowicz

Lightning Talks (AAAI ICWSM Conference on Web and Social Media)

Framing Social Movements on Social Media

Julia Mendelsohn, Maya Vijan, Dallas CardCeren Budak