179 citations · 269 across the 25 of their papers we have counts for
8 papers · 1 filter
Into the Void: Understanding Online Health Information in Low-Web Data Languages
Hellina Hailu Nigatu, Nuredin Ali Abdelkadir, Fiker Tewelde +2
Data voids--areas of the internet where reliable information is scarce or absent--pose significant challenges to online health information seeking, particularly for users operating…
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
Luke Guerdan, Devansh Saxena, Stevie Chancellor +2
Data scientists often formulate predictive modeling tasks involving fuzzy, hard-to-define concepts, such as the "authenticity" of student writing or the "healthcare need" of a pati…
Wisdom of the Crowd, Without the Crowd: A Socratic LLM for Asynchronous Deliberation on Perspectivist Data
Malik Khadar, Daniel Runningen, Julia Tang +2
Data annotation underpins the success of modern AI, but the aggregation of crowd-collected datasets can harm the preservation of diverse perspectives in data. Difficult and ambiguo…
"I'm Petting the Laptop, Which Has You Inside It": Reflecting on Lived Experiences of Online Friendship
Seraphina Yong, Ashlee Milton, Evan Suma Rosenberg +2
Online(-only) friendships have become increasingly common in daily lives post-COVID despite debates around their mental health benefits and equivalence to ''real'' relationships. P…
Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agency
Leah Hope Ajmani, Nuredin Ali Abdelkadir, Stevie Chancellor
As AI technologies become more human-facing, there have been numerous calls to adapt participatory approaches to AI development -- spurring the idea of participatory AI. However, t…
Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers
Jared Moore, Declan Grabb, William Agnew +4
Should a large language model (LLM) be used as a therapist? In this paper, we investigate the use of LLMs to *replace* mental health providers, a use case promoted in the tech star…
Beyond the Individual: A Community-Engaged Framework for Ethical Online Community Research
Matthew Zent, Seraphina Yong, Dhruv Bala +4
Online community research routinely poses minimal risk to individuals, but does the same hold true for online communities? In response to high-profile breaches of online community…
Observe, Ask, Intervene: Designing AI Agents for More Inclusive Meetings
Mo Houtti, Moyan Zhou, Loren Terveen +1
Video conferencing meetings are more effective when they are inclusive, but inclusion often hinges on meeting leaders' and/or co-facilitators' practices. AI systems can be designed…