25 citations · 75 across the 17 of their papers we have counts for
6 papers · 1 filter
Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging
Pinxian Lu, Nimra Ishfaq, Emma Win +5
Online harassment is a widespread social and public health concern, yet most computational approaches for detecting and addressing harassment focus on publicly visible social media…
AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse
Jiawei Zhou, Lei Zhang, Mei Li +2
Representation shapes public attitudes and behaviors. With the recent advances and rapid adoption of LLMs, the way these systems are introduced will negotiate societal expectations…
Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks
Trilok Padhi, Pinxian Lu, Abdulkadir Erol +5
Large Language Model (LLM) agents are powering a growing share of interactive web applications, yet remain vulnerable to misuse and harm. Prior jailbreak research has largely focus…
The Role of Partisan Culture in Mental Health Language Online
Sachin R. Pendse, Ben Rochford, Neha Kumar +1
The impact of culture on how people express distress in online support communities is increasingly a topic of interest within Computer Supported Cooperative Work (CSCW) and Human-C…
Communication styles and reader preferences of LLM- and human-authored COVID-19 information explanations: a case study
Jiawei Zhou, Kritika Venkatachalam, Minje Choi +2
With the wide adoption of large language models (LLMs) in information assistance, it is essential to examine their alignment with human communication styles and values. We situate…
Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries
Koustuv Saha, Yoshee Jain, Violeta J. Rodriguez +1
The ubiquity and widespread use of digital and online technologies have transformed mental health support, with online mental health communities (OMHCs) providing safe spaces for p…