57 citations · 169 across the 15 of their papers we have counts for
15 papers
SnuggleSense: Empowering Online Harm Survivors Through a Structured Sensemaking Process
Sijia Xiao, Haodi Zou, Amy Mathews +3
Online interpersonal harm, such as cyberbullying and sexual harassment, remains a pervasive issue on social media platforms. Traditional approaches, primarily content moderation, o…
Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making
Bhada Yun, Dana Feng, Ace S. Chen +2
Our study of 20 knowledge workers revealed a common challenge: the difficulty of synthesizing unstructured information scattered across multiple platforms to make informed decision…
Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use
Yimin Xiao, Cartor Hancock, Sweta Agrawal +4
AI systems and tools today can generate human-like expressions on behalf of people. It raises the crucial question about how to sustain human agency in AI-mediated communication. W…
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin, Niloufar Salehi
Accountable use of AI systems in high-stakes settings relies on making systems contestable. In this paper we study efforts to contest AI systems in practice by studying how public…
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors
Nikita Mehandru, Sweta Agrawal, Yimin Xiao +4
A major challenge in the practical use of Machine Translation (MT) is that users lack guidance to make informed decisions about when to rely on outputs. Progress in quality estimat…
Addressing interpersonal harm in online gaming communities: the opportunities and challenges for a restorative justice approach
Sijia Xiao, Shagun Jhaver, Niloufar Salehi
Most social media platforms implement content moderation to address interpersonal harms such as harassment. Content moderation relies on offender-centered, punitive approaches, e.g…
Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
Wesley Hanwen Deng, Nikita Mehandru, Samantha Robertson +1
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such as in hospitals. However, in order to use MT…
The Distressing Ads That Persist: Uncovering The Harms of Targeted Weight-Loss Ads Among Users with Histories of Disordered Eating
Liza Gak, Seyi Olojo, Niloufar Salehi
Targeted advertising can harm vulnerable groups when it targets individuals' personal and psychological vulnerabilities. We focus on how targeted weight-loss advertisements harm pe…
Not Another School Resource Map: Meeting Underserved Families' Information Needs Requires Trusting Relationships and Personalized Care
Samantha Robertson, Tonya Nguyen, Niloufar Salehi
Public school districts across the United States have implemented school choice systems that have the potential to improve underserved students' access to educational opportunities…
Bridging Action Frames: Instagram Infographics in U.S.Ethnic Movements
Darya Kaviani, Niloufar Salehi
Instagram infographics are a digital activism tool that have redefined action frames for technology-facilitated social movements. From the 1960s through the 1980s, United States et…
Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms
Samantha Robertson, Tonya Nguyen, Niloufar Salehi
Across the United States, a growing number of school districts are turning to matching algorithms to assign students to public schools. The designers of these algorithms aimed to p…
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
Doris Xin, Eva Yiwei Wu, Doris Jung-Lin Lee +2
Efforts to make machine learning more widely accessible have led to a rapid increase in Auto-ML tools that aim to automate the process of training and deploying machine learning. T…
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design
Samantha Robertson, Niloufar Salehi
Emerging methods for participatory algorithm design have proposed collecting and aggregating individual stakeholder preferences to create algorithmic systems that account for those…
Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability
Niloufar Salehi, Andrew McCabe, Melissa Valentine +1
Distributed, parallel crowd workers can accomplish simple tasks through workflows, but teams of collaborating crowd workers are necessary for complex goals. Unfortunately, a fundam…
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships
Ryo Suzuki, Niloufar Salehi, Michelle S. Lam +2
Expert crowdsourcing marketplaces have untapped potential to empower workers' career and skill development. Currently, many workers cannot afford to invest the time and sacrifice t…