7 citations · 18 across the 28 of their papers we have counts for
22 papers · 1 filter
Trustworthy FinAInce: Unpacking How AI-Mediated Financial Advice is Judged
Aryan Ramchandra Kapadia, Eshwar Chandrasekharan, Koustuv Saha
As generative AI is increasingly used as a source of personal financial guidance, understanding how people appraise such advice is important for supporting appropriate reliance. We…
Stereotypically Yours: Portrayal and Perception of Race-Coded AI Companions
Wang Claire, Jiayue Melissa Shi, Agam Goyal +4
AI companions can purportedly adopt racial personas, raising questions about how they represent identity and how users interpret these portrayals. We combined an algorithmic audit…
First Impressions: How Placement Shapes the Influence of AI Summaries
Wang Claire, Agam Goyal, Frederick Choi +2
AI-generated summaries increasingly mediate how people interpret information across platforms, including product reviews on e-commerce sites. Using Amazon's AI summaries as a case…
PeerPen: AI-Assisted Writing for Online Mental Health Peer Support
Jiwon Kim, Sherry Gong, Maya Ajit +5
Online mental health communities thrive on peer support, yet those who volunteer to help often lack formal training and may struggle to articulate supportive responses. AI co-writi…
Using LLMs to Mimic the Conversational Dynamics of Reddit Communities
Vedaant Jain, Yoshee Jain, Ishq Gupta +3
Online communities face a constant battle against toxicity and misinformation. While human moderators struggle to keep pace with the volume of content, LLMs offer a promising solut…
How People Evaluate AI-, Expert-, and Peer-Style Financial Advice
Aryan Ramchandra Kapadia, Eshwar Chandrasekharan, Koustuv Saha
As generative AI increasingly becomes a common source of daily decision-making, including financial choices, it is critical to understand how people evaluate AI-generated financial…
LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback
Jiwon Kim, Maya Ajit, Sherry Gong +4
Large language models (LLMs) show promise in generating supportive responses for mental health queries, but improving their usefulness, empathy, and safety often requires substanti…
PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support
Jiwon Kim, Violeta J. Rodriguez, Dong Whi Yoo +2
LLMs are increasingly used for mental health support, yet they can produce responses that are overly directive, inconsistent, or clinically misaligned. Most risk mitigation approac…
VASTU: Language Models Struggle to Recognize Online Community Values
Agam Goyal, Xianyang Zhan, Charlotte Lambert +2
Online communities develop distinct norms for content they collectively value, yet it remains unclear whether current language models can recognize locally valued contributions in…
"Think about it like you're a firefighter": Understanding How Reddit Moderators Use the Modqueue
Tanvi Bajpai, Eshwar Chandrasekharan
On Reddit, the moderation queue (modqueue) is a primary interface for moderators to review reported content. Despite its central role in Reddit's community-reliant moderation model…
PILOT: Control Surfaces for Authoring Social Media Feeds
Frederick Choi, Agam Goyal, Eshwar Chandrasekharan
Personalized social media feeds infer preferences from behavior, leaving people little direct control over what they see. Existing controls range from post-level reactions to rules…
The Ranking Effect: How Algorithmic Rank Influences Attention on Social Media
Jackie Chan, Fred Choi, Koustuv Saha +1
Social media feeds have become central to the Internet. Among the most visible are trending feeds, which rank content deemed timely and relevant. To examine how feed signals influe…
Mind Your Ps and Qs: Positive Moderation Practice in the Positive Queue
Charlotte Lambert, Agam Goyal, Eunice Mok +1
Online communities rely on volunteer moderators to maintain order. Despite their key role, moderators are given a toolbox of punishments and far less support for encouraging contri…
The Language of Approval: Identifying the Drivers of Positive Feedback Online
Agam Goyal, Charlotte Lambert, Eshwar Chandrasekharan
Positive feedback via likes and awards is central to online governance, yet which attributes of users' posts elicit rewards -- and how these vary across authors and communities --…
Needling Through the Threads: A Visualization Tool for Navigating Threaded Online Discussions
Yijun Liu, Frederick Choi, Eshwar Chandrasekharan
Navigating large-scale online discussions is difficult due to the rapid pace and large volume of user-generated content. Prior work in CSCW has shown that moderators often struggle…
Examining Algorithmic Curation on Social Media: An Empirical Audit of Reddit's r/popular Feed
Jackie Chan, Fred Choi, Koustuv Saha +1
Platforms are increasingly relying on algorithms to curate the content within users' social media feeds. However, the growing prominence of proprietary, algorithmically curated fee…
Venire: A Machine Learning-Guided Panel Review System for Community Content Moderation
Vinay Koshy, Frederick Choi, Yi-Shyuan Chiang +3
Research into community content moderation often assumes that moderation teams govern with a single, unified voice. However, recent work has found that moderators disagree with one…
Uncovering the Internet's Hidden Values: An Empirical Study of Desirable Behavior Using Highly-Upvoted Content on Reddit
Agam Goyal, Charlotte Lambert, Yoshee Jain +1
A major task for moderators of online spaces is norm-setting, essentially creating shared norms for user behavior in their communities. Platform design principles emphasize the imp…
Does Positive Reinforcement Work?: A Quasi-Experimental Study of the Effects of Positive Feedback on Reddit
Charlotte Lambert, Koustuv Saha, Eshwar Chandrasekharan
Social media platform design often incorporates explicit signals of positive feedback. Some moderators provide positive feedback with the goal of positive reinforcement, but are of…
Towards a Better Modqueue: Designing for Diversity Across Moderator Objectives and Workflows
Tanvi Bajpai, Eshwar Chandrasekharan
Reddit relies on volunteer moderators to enforce community rules, configure tools, and review flagged content. This labor is substantial, worth millions in unpaid effort, and incre…
Creator Hearts: Investigating the Impact Positive Signals from YouTube Creators in Shaping Comment Section Behavior
Frederick Choi, Charlotte Lambert, Vinay Koshy +3
Much of the research in online moderation focuses on punitive actions. However, emerging research has shown that positive reinforcement is effective at encouraging desirable behavi…
Harmonizing the Cacophony with MIC: An Affordance-aware Framework for Platform Moderation
Tanvi Bajpai, Drshika Asher, Anwesa Goswami +1
Social platforms, and the online communities that use them, are evolving at a rapid pace. As a result, research and development regarding how to moderate online communities is bein…