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 discourse, yet little is known about which community voices survive retrieval and synthesis. We audit Reddit Answers using 10,000 queries from 20...
Agam Goyal, Wang Claire, Eshwar Chandrasekharan· 0 citations
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 of race-coded AI personas with interviews with 12 companion users who interacted with a probe. Our audit revealed systematic differences, su...
Wang Claire, J. Shi, Agam Goyal et al.· 0 citations
This work presents the first large-scale empirical comparison of AI-agent and human online communities, analyzing 73,899 Moltbook and 189,838 Reddit posts across five matched communities.
Agam Goyal, Olivia Pal, Hari Sundaram et al.· arXiv.org· 11 citations
The Positive Queue is introduced as a positive counterpart to Reddit's modqueue: a dedicated space for moderators to discover contributions and behaviors they want to encourage and positively reinforce, and conceptualize positive moderation as recognition infrastructure that shapes what moderators notice, whose judgmen...
Charlotte Lambert, Agam Goyal, Eunice Mok et al.· 0 citations
It was found that both AI summaries and user reviews influenced participants' opinions, with negative summaries having a larger effect than positive ones and negative summaries having a larger effect than positive ones.
Wang Claire, Agam Goyal, Frederick Choi et al.· 0 citations
It is shown that this handoff step is a structural source of privacy leakage: summaries preferentially preserve operational facts while weakening the boundary metadata that governs how those facts may be used---a failure mode the authors call summary collapse.
Yian Wang, Agam Goyal, Eshwar Chandrasekharan et al.· 0 citations
It is suggested that local preference recognition requires community-specific training signal, not just better prompting, and this work supports future research on community-aware reward modeling, feed curation, and positive moderation.
Agam Goyal, Xianyang Zhan, Charlotte Lambert et al.· 6 citations
Responses to real search queries are examined at three levels: source diversity, linguistic characterization of the generated summary, and source-summary fidelity, to find that generative search systems exhibit significant source-selection biases in their citations.
Michelle Huang, Agam Goyal, Koustuv Saha et al.· arXiv.org· 8 citations
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