Characterizing Collective Efforts in Content Sharing and Quality Control for ADHD-relevant Content on Video-sharing Platforms
Hanxiu 'Hazel' Zhu, Avanthika Senthil Kumar, Sihang Zhao, Ru Wang, Xin Tong, Yuhang Zhao

TL;DR
This study analyzes ADHD-related videos on YouTube and TikTok to understand content quality, accessibility issues, and community efforts in quality control, providing insights for improving ADHD-friendly content on video-sharing platforms.
Contribution
It systematically examines ADHD-relevant videos, characterizes their features, and reveals community strategies for quality control, offering design implications for platforms.
Findings
Identified characteristics of ADHD videos, including creator types and presentation forms.
Revealed community efforts like authority building and collective quality checking.
Provided actionable design recommendations for ADHD-friendly content.
Abstract
Video-sharing platforms (VSPs) have become increasingly important for individuals with ADHD to recognize symptoms, acquire knowledge, and receive support. While videos offer rich information and high engagement, they also present unique challenges, such as information quality and accessibility issues to users with ADHD. However, little work has thoroughly examined the video content quality and accessibility issues, the impact, and the control strategies in the ADHD community. We fill this gap by systematically collecting 373 ADHD-relevant videos with comments from YouTube and TikTok and analyzing the data with a mixed method. Our study identified the characteristics of ADHD-relevant videos on VSPs (e.g., creator types, video presentation forms, quality issues) and revealed the collective efforts of creators and viewers in video quality control, such as authority building, collective…
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Taxonomy
TopicsMultimedia Communication and Technology · Green IT and Sustainability · Image and Video Quality Assessment
