activity
20242026
most citedLLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026★ 1 cited

From Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances

Xinyi Zhang, Mamtaj Akter, Heajun An +6

Cybergrooming is a form of online abuse that threatens teens' mental health and physical safety. Yet, most prior work has focused on detecting perpetrators' behaviors, leaving a li…

cs.LG2026

StagePilot: Stage-Level Planning for Long-Horizon Dialogue Simulation in Cybergrooming

Heajun An, Qi Zhang, Minqian Liu +5

Cybergrooming is an evolving threat to youth, requiring proactive educational interventions. We address this by modeling dialogue progression as a structured planning problem over…

cs.HC2025

Understanding the Perceptions of Trigger Warning and Content Warning on Social Media Platforms in the U.S

Xinyi Zhang, Muskan Gupta, Emily Altland +1

The prevalence of distressing content on social media raises concerns about users' mental well-being, prompting the use of trigger warnings (TW) and content warnings (CW). However,…

cs.CL2025★ 1 cited

LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models

Minqian Liu, Zhiyang Xu, Xinyi Zhang +8

Recent advancements in Large Language Models (LLMs) have enabled them to approach human-level persuasion capabilities. However, such potential also raises concerns about the safety…

cs.CY2025

Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research

Heajun An, Marcos Silva, Qi Zhang +8

Cybergrooming exploits minors through online trust-building, yet research remains fragmented, limiting holistic prevention. Social sciences focus on behavioral insights, while comp…

cs.HC2024

Generating A Crowdsourced Conversation Dataset to Combat Cybergrooming

Xinyi Zhang, Pamela J. Wisniewski, Jin-hee Cho +2

Cybergrooming emerges as a growing threat to adolescent safety and mental health. One way to combat cybergrooming is to leverage predictive artificial intelligence (AI) to detect p…