7 citations · 18 across the 28 of their papers we have counts for
38 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…
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…
The Wisdom of the Loudest: A Large-Scale Audit of Generative Search on Reddit
Agam Goyal, Wang Claire, Eshwar Chandrasekharan
Online communities are valued not only for answers, but for the diversity of experiences and perspectives they contain. Generative search increasingly mediates access to this disco…
Facts Without Rules: Boundary Metadata Collapse in Multi-Agent LLM Handoffs
Yian Wang, Agam Goyal, Eshwar Chandrasekharan +1
Multi-agent LLM systems often coordinate by compressing an upstream interaction into a handoff artifact that downstream agents treat as shared state. We show that this handoff step…
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…
Prompt PerturbAItions: Mechanisms of LLM Response Inconsistencies
Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar +6
Large language models (LLMs) are increasingly deployed in conversational settings where user phrasing ranges from polite to casual to toxic, yet less is known about whether such le…
Algorithmic Cultivation: How Social Media Feeds Shape User Language
Olivia Pal, Agam Goyal, Eshwar Chandrasekharan +1
Algorithmic feeds have become primary environments for encountering information online, yet while they shape what people see, less is known about how sustained feed exposure shapes…
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…
Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG
Agam Goyal, Koyel Mukherjee, Apoorv Saxena +3
Dense retrievers in retrieval-augmented generation (RAG) systems exhibit systematic biases -- including brevity, position, literal matching, and repetition biases -- that can compr…
From Plausible to Causal: Counterfactual Semantics for Policy Evaluation in Simulated Online Communities
Agam Goyal, Yian Wang, Eshwar Chandrasekharan +1
LLM-based social simulations can generate believable community interactions, enabling ``policy wind tunnels'' where governance interventions are tested before deployment. But belie…
Social Simulacra in the Wild: AI Agent Communities on Moltbook
Agam Goyal, Olivia Pal, Hari Sundaram +2
As autonomous LLM-based agents increasingly populate social platforms, understanding the dynamics of AI-agent communities becomes essential for both communication research and plat…
Answer Bubbles: Information Exposure in AI-Mediated Search
Michelle Huang, Agam Goyal, Koustuv Saha +1
Generative search systems are increasingly replacing link-based retrieval with AI-generated summaries, yet little is known about how these systems differ in sources, language, and…
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…
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…