22 citations · 34 across the 19 of their papers we have counts for
22 papers
X-pressing Intimacy: Mental Health Disclosure After Twitter Acquisition
Olivia Pal, Yunhao Yuan, Meghana Mandava +3
Social media platforms provide spaces for individuals to disclose mental health experiences and seek support, yet how these disclosures evolve during major shifts in platform gover…
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…
From Web(logs) to Web(AI): Questions, Platforms, and Methods across Twenty Editions of ICWSM
Koustuv Saha, Eshwar Chandrasekharan
Over twenty editions, the ICWSM community has examined social life online as platforms, interactions, and research methods have changed. What can this body of research tell us at t…
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…
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…
AI Content Moderation in Therapy Conversations
Jiwon Kim, Claire Wang, Taeung Yoon +2
Large language models (LLMs) are increasingly being used for emotional support. They are also being developed for formal therapy purposes. However, LLMs like ChaptGPT or Llama are…
Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations
Shanshan Zhu, Han Zhang, J. Doris Chi +2
LLMs are increasingly used to explain personal sensing data, translating traces of activity and mood into natural-language accounts of why an anomalous day may have occurred. Howev…
Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses Through Mutual Theory of Mind
Olivia Pal, Veda Duddu, Agam Goyal +2
Trust and reliance are often treated as coupled constructs in human-AI interaction research, with the assumption that calibrating trust will lead to appropriate reliance. We challe…
The Hidden Toll of Social Media News: Causal Effects on Psychosocial Wellbeing
Olivia Pal, Agam Goyal, Eshwar Chandrasekharan +1
News consumption on social media has become ubiquitous, yet how different forms of engagement shape psychosocial outcomes remains unclear. To address this gap, we leveraged a large…
RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
Drishti Goel, Jeongah Lee, Qiuyue Joy Zhong +5
Caregivers seeking AI-mediated support express complex needs---information-seeking, emotional validation, and distress cues---that warrant careful evaluation of response safety and…
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…
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…
MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance
Agam Goyal, Xianyang Zhan, Yilun Chen +2
Large language models (LLMs) have shown great potential in flagging harmful content in online communities. Yet, existing approaches for moderation require a separate model for ever…
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…
Exploring the Role of LLMs for Supporting Older Adults: Opportunities and Concerns
Sidharth Kaliappan, Abhay Sheel Anand, Koustuv Saha +1
We explore some of the existing research in HCI around technology for older adults and examine the role of LLMs in enhancing it. We also discuss the digital divide and emphasize th…
AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
Vedant Das Swain, Qiuyue "Joy" Zhong, Jash Rajesh Parekh +7
Client-Service Representatives (CSRs) are vital to organizations. Frequent interactions with disgruntled clients, however, disrupt their mental well-being. To help CSRs regulate th…
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
Xianyang Zhan, Agam Goyal, Yilun Chen +2
Large language models (LLMs) have shown promise in many natural language understanding tasks, including content moderation. However, these models can be expensive to query in real-…
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…
User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore
Val Alvern Cueco Ligo, Lam Yin Cheung, Roy Ka-Wei Lee +3
Social media platforms, particularly Telegram, play a pivotal role in shaping public perceptions and opinions on global and national issues. Unlike traditional news media, Telegram…
Bystanders of Online Moderation: Examining the Effects of Witnessing Post-Removal Explanations
Shagun Jhaver, Himanshu Rathi, Koustuv Saha
Prior research on transparency in content moderation has demonstrated the benefits of offering post-removal explanations to sanctioned users. In this paper, we examine whether the…