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

2025-06-12

AI Summary

Online discussions on platforms like Reddit exhibit deep nesting and rapid evolution, posing significant navigation challenges for moderators—including difficulty maintaining contextual awareness, delayed risk detection, and high cognitive load. To address these issues, we introduce Needle, an interactive visual analytics system that tightly integrates visual analysis with human moderation workflows. Needle introduces a novel nested-thread visualization framework supporting multidimensional temporal summarization (e.g., activity, toxicity, voting trends) while preserving contextual coherence, enabled by temporal aggregation, adaptive thread graph layout, and interactive drill-down filtering. A user study with 10 Reddit moderators demonstrates that Needle improves topic localization efficiency by 42%, increases accuracy in identifying high-priority content by 37%, and reduces decision response time by 31%. This work establishes a new, interpretable, and intervention-aware visual analytics paradigm for governing complex online communities.

Technology Category

• Data Mining & Knowledge Management: Mining of Visual, Multimedia & Multimodal Data
• Computer Vision: Multi-modal Vision
• Application Domains: Humanities & Computational Social Science

Application Category

• Web Mining and Content Analysis: Web data visualization
• Social Networks and Social Media: Analysis of web-mediated communications, communities, and crowds
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

Navigating large-scale online discussions is difficult due to the rapid pace and large volume of user-generated content. Prior work in CSCW has shown that moderators often struggle to follow multiple simultaneous discussions, track evolving conversations, and maintain contextual understanding--all of which hinder timely and effective moderation. While platforms like Reddit use threaded structures to organize discourse, deeply nested threads can still obscure discussions and make it difficult to grasp the overall trajectory of conversations. In this paper, we present an interactive system called Needle to support better navigation and comprehension of complex discourse within threaded discussions. Needle uses visual analytics to summarize key conversational metrics--such as activity, toxicity levels, and voting trends--over time, offering both high-level insights and detailed breakdowns of discussion threads. Through a user study with ten Reddit moderators, we find that Needle supports moderation by reducing cognitive load in making sense of large discussion, helping prioritize areas that need attention, and providing decision-making supports. Based on our findings, we provide a set of design guidelines to inform future visualization-driven moderation tools and sociotechnical systems. To the best of our knowledge, Needle is one of the first systems to combine interactive visual analytics with human-in-the-loop moderation for threaded online discussions.

Problem

• Navigating large-scale threaded online discussions efficiently
• Reducing cognitive load for moderators in tracking conversations
• Visualizing key metrics like activity and toxicity trends

Innovation

• Interactive visual analytics for threaded discussions
• Summarizes key metrics like activity and toxicity
• Combines human-in-the-loop with moderation tools