15 citations · 106 across the 36 of their papers we have counts for
62 papers
Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systems
Vahid Rahimzadeh, Yury Zhauniarovich, Savvas Zannettou
Conversational AI systems (CAISes) continuously change through model releases, feature updates, safety interventions, and access-policy shifts, yet user perceptions are often studi…
Misinformation Span Detection in Videos via Audio Transcripts
Breno Matos, Rennan C. Lima, Savvas Zannettou +2
Online misinformation is one of the most challenging issues lately, yielding severe consequences, including political polarization, attacks on democracy, and public health risks. M…
Understanding LLM Behavior When Encountering User-Supplied Harmful Content in Harmless Tasks
Junjie Chu, Yiting Qu, Ye Leng +4
Large Language Models (LLMs) are increasingly trained to align with human values, primarily focusing on task level, i.e., refusing to execute directly harmful tasks. However, a sub…
The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT
Abhisek Dash, Soumi Das, Elisabeth Kirsten +6
To enable personalized and context-aware interactions, conversational AI systems have introduced a new mechanism: Memory. Memory creates what we refer to as the Algorithmic Self-po…
Bowling with ChatGPT: On the Evolving User Interactions with Conversational AI Systems
Sai Keerthana Karnam, Abhisek Dash, Krishna P. Gummadi +3
Recent studies have discussed how users are increasingly using conversational AI systems, powered by LLMs, for information seeking, decision support, and even emotional support. Ho…
Does Ad-Free Mean Less Data Collection? An Empirical Study of Platform Data Practices and User Expectations
Sepehr Mousavi, Abhisek Dash, Savvas Zannettou +1
Online platforms increasingly offer "paid" ad-free subscriptions as an alternative to the traditional "free" ad-based model. The transition to ad-free models ostensibly removes adv…