๐ค AI Summary
This study addresses the challenges adolescents face in effectively utilizing social media privacy settings, particularly high interaction costs and interference from dark patterns. To investigate these issues, this work proposes a novel โwayfinding auditโ methodology that integrates expert heuristic evaluation, think-aloud testing, interaction cost analysis, and dark pattern detection. A mixed-methods study was conducted across six tasks on four major platforms, involving eleven adolescent participants. The results reveal that dark patterns are pervasive across all examined platforms, with a significant disparity between design complexity and actual usage costs. Furthermore, most adolescents required substantially more time to complete tasks than established expert baselines. These findings demonstrate that existing privacy protection settings suffer from severe usability deficiencies in practice, underscoring the urgent need for more adolescent-centered interface designs.
๐ Abstract
Social media platforms are central to teenagers' lives, and their designs can expose users to privacy, safety, and wellbeing harms. Platforms increasingly offer protective settings, though the presence of a control reveals little about whether teenagers can find, use, and benefit from it over time. We paired an expert evaluation of six privacy and safety tasks across TikTok, Instagram, Snapchat, and YouTube with moderated think aloud sessions in which 11 teenagers aged 14 to 17 attempted the tasks. Interaction cost and dark patterns analysis allowed us to compare the complexity designed into each task with the effort participants incurred as they located, configured, and interpreted controls. Recurring dark patterns appeared across tasks, and most participant attempts exceeded the expert baseline. Protective settings therefore risk being insufficiently usable or durable in practice, and we propose a wayfinding audit that integrates expert evaluation, usability testing, interaction cost, and dark pattern analysis.