Needling Through the Threads: A Visualization Tool for Navigating Threaded Online Discussions

要旨

Navigating large-scale online discussions is difficult due to their rapid pace and high volume of content. Platforms like Reddit employ ``threads’’ to visually organize parallel discussions, but deep nesting obscures conversation flow. For moderators, this fragmentation compounds the difficulty of following evolving conversations and maintaining context across threads, which limits timely and effective moderation. In this paper, we present Needle, an interactive system that applies visual analytics to summarize key conversational metrics: activity, toxicity, and voting trends over time. Needle provides both high-level overviews and detailed breakdowns of threads, enabling moderators to identify priority areas without reading through entire nested conversations. Through a user study with ten Reddit moderators, we find that Needle provides a practical solution to maintain contextual understanding when navigating threaded discussions. Based on these findings, we propose design guidelines for future visualization-based tools that shape how people consume, interpret, and make sense of large-scale online discussions.

著者
Yijun Liu
University of Illinois Urbana-Champaign, Urbana, Illinois, United States
Frederick Choi
University of Illinois Urbana-Champaign, Urbana, Illinois, United States
Eshwar Chandrasekharan
University of Illinois Urbana-Champaign, Urbana, Illinois, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Discussions

P1 - Room 114
7 件の発表
2026-04-15 18:00:00
2026-04-15 19:30:00