Understanding Human-AI Collaboration in Online Communities: A User-Generated Content Perspective

PhD Qualifying Examination


Title: "Understanding Human-AI Collaboration in Online Communities: A 
User-Generated Content Perspective"

by

Mr. Yuanhao ZHANG


Abstract:

Online communities are driven by user-generated content (UGC), which plays a 
pivotal role in providing services for their members. Recent research has 
widely explored the potential of artificial intelligence (AI) to facilitate 
the development of a rich inventory of high-quality content within these 
communities. However, there lacks a systematic review that examine AI 
support tools from the perspective of UGC, which hinders researchers from 
reflecting on the existing tool designs that promote humans’ and AI’s 
advantages and mitigate their shortcomings. This survey investigates the 
approaches of existing AI tools in supporting members' content contribution, 
consumption, and moderation. Through our analysis, we identify the key 
challenges motivating these AI tools for online communities and their 
deployed approach to address the challenges. This work also outlines 
research opportunities for optimizing AI's role within online communities, 
offering a comprehensive framework to understand its current contributions 
and future potential in UGC-centric environments.


Date:                   Friday, 17 January 2025

Time:                   3:00pm - 5:00pm

Venue:                  Room 3494
                        Lifts 25/26

Committee Members:      Dr. Xiaojuan Ma (Supervisor)
                        Dr. Xiaomin Ouyang (Chairperson)
                        Dr. Linping Yuan
                        Dr. Anyi Rao (AMC)