1 citations · 3 across the 5 of their papers we have counts for
5 papers
When Agents Persuade: Rhetoric Generation and Mitigation in LLMs
Julia Jose, Ritik Roongta, Rachel Greenstadt
Despite their wide-ranging benefits, LLM-based agents deployed in open environments can be exploited to produce manipulative material. In this study, we task LLMs with propaganda o…
MLLM-based Textual Explanations for Face Comparison
Redwan Sony, Anil K Jain, Arun Ross
Multimodal Large Language Models (MLLMs) have recently been proposed as a means to generate natural-language explanations for face recognition decisions. While such explanations fa…
Are Large Language Models Good at Detecting Propaganda?
Julia Jose, Rachel Greenstadt
Propagandists use rhetorical devices that rely on logical fallacies and emotional appeals to advance their agendas. Recognizing these techniques is key to making informed decisions…
From Blocking to Breaking: Evaluating the Impact of Adblockers on Web Usability
Ritik Roongta, Mitchell Zhou, Ben Stock +1
Recent years have seen a sharp rise in adblocker use, driven by increased web tracking and personalized ads. However, a significant issue for adblocker users is the web breakages t…
Challenges in Restructuring Community-based Moderation
Chau Tran, Kejsi Take, Kaylea Champion +2
Content moderation practices and technologies need to change over time as requirements and community expectations shift. However, attempts to restructure existing moderation practi…