22 citations · 34 across the 19 of their papers we have counts for
13 papers · 1 filter
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…