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Leveraging AI for Direct Bystander Intervention Against Cyberbullying
Peinuan Qin, Jiting Cheng, Jungup Lee +3
Cyberbullying is a pervasive problem in online environments, causing substantial psychological harm to victims. Although bystander intervention has proven effective in mitigating i…
Exploring the Human-LLM Synergy in Advancing Theory-driven Qualitative Analysis
Han Meng, Yitian Yang, Wayne Fu +3
Qualitative coding is a demanding yet crucial research method in the field of Human-Computer Interaction (HCI). While recent studies have shown the capability of large language mod…
Empowering Social Service with AI: Insights from a Participatory Design Study with Practitioners
Yugin Tan, Kai Xin Soh, Renwen Zhang +4
In social service, administrative burdens and decision-making challenges often hinder practitioners from performing effective casework. Generative AI (GenAI) offers significant pot…
Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs
Han Meng, Renwen Zhang, Ganyi Wang +4
Mental-illness stigma is a persistent social problem, hampering both treatment-seeking and recovery. Accordingly, there is a pressing need to understand it more clearly, but analyz…