3 citations · 6 across the 25 of their papers we have counts for
31 papers
Secondhand Stress: How Stressful Disclosures Affect Psychosocial Wellbeing in Online Graduate Admissions Communities
Veda Duddu, Agam Goyal, Sabelle Huang +3
Online communities provide spaces for individuals navigating stressful life transitions to disclose difficulties and seek peer support. Yet encountering others' distress may also h…
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…
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…
When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support
Drishti Goel, Agam Goyal, Veda Duddu +6
Caregivers often turn to online communities for informational and emotional support. In these spaces, peer supporters frequently draw on personal narratives to respond to emotional…
Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles
Drishti Goel, Agam Goyal, Veda Duddu +8
Language models are increasingly being deployed for conversational support in informal caregiving contexts, where interactions often extend beyond information-seeking: caregivers s…
Toxic HallucinAItions: Perturbing Prompts and Tracing LLM Circuits
Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar +6
Large language models (LLMs) are increasingly deployed in conversational settings where user tone ranges from polite to adversarial or toxic, yet less is known about whether toxic…
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…
State Contamination in Memory-Augmented LLM Agents
Yian Wang, Agam Goyal, Yuen Chen +1
LLM agents increasingly rely on persistent state, including transcripts, summaries, retrieved context, and memory buffers, to support long-horizon interaction. This makes safety de…
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…
CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification
Yian Wang, Yuen Chen, Agam Goyal +1
Large language models (LLMs) frequently generate toxic content, posing significant risks for safe deployment. Current mitigation strategies often degrade generation quality or requ…
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…
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…
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…
Detecting Early and Implicit Suicidal Ideation via Longitudinal and Information Environment Signals on Social Media
Soorya Ram Shimgekar, Ruining Zhao, Agam Goyal +5
On social media, several individuals experiencing suicidal ideation (SI) do not disclose their distress explicitly. Instead, signs may surface indirectly through everyday posts or…
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 --…
ArgCMV: An Argument Summarization Benchmark for the LLM-era
Omkar Gurjar, Agam Goyal, Eshwar Chandrasekharan
Key point extraction is an important task in argument summarization which involves extracting high-level short summaries from arguments. Existing approaches for KP extraction have…
Breaking Bad Tokens: Detoxification of LLMs Using Sparse Autoencoders
Agam Goyal, Vedant Rathi, William Yeh +3
Large language models (LLMs) are now ubiquitous in user-facing applications, yet they still generate undesirable toxic outputs, including profanity, vulgarity, and derogatory remar…
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…