3 papers
cs.HC2026
Explaining the Reputational Risks of AI-Mediated Communication: Messages labeled as AI-assisted are viewed as less diagnostic of the sender's moral character
Pranav Khadpe, Kimi Wenzel, George Loewenstein +1
When someone sends us a thoughtful message, we naturally form judgments about their character. But what happens when that message carries a label indicating it was written with the…
cs.CL2025
ELEPHANT: Measuring and understanding social sycophancy in LLMs
Myra Cheng, Sunny Yu, Cinoo Lee +3
LLMs are known to exhibit sycophancy: agreeing with and flattering users, even at the cost of correctness. Prior work measures sycophancy only as direct agreement with users' expli…
cs.HC2024
Hug Reports: Supporting Expression of Appreciation between Users and Contributors of Open Source Software Packages
Pranav Khadpe, Olivia Xu, Geoff Kaufman +1
Contributors to open source software packages often describe feeling discouraged by the lack of positive feedback from users. This paper describes a technology probe, Hug Reports,…