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arXiv 2609.28672cs.HC

可用但不可用:社交媒体隐私与安全设置中针对青少年的暗黑模式与交互成本

Available but Not Usable: Dark Patterns and Interaction Cost in Social Media Privacy and Safety Settings for Teens

Jingxin Dong, Lingyun Chen, Chen Ling, Colin M. Gray

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中文总结 AI 辅助

针对青少年社交媒体隐私与安全设置,通过专家评估和青少年测试发现暗黑模式与高交互成本,提出整合多方法的路标审计以提升可用性。

中文摘要 AI 辅助

社交媒体平台是青少年生活的核心,其设计可能使使用者面临隐私、安全和福祉方面的伤害。平台日益提供保护性设置,但控制项的存在并不能说明青少年能否随时间找到、使用并从中受益。我们将对TikTok、Instagram、Snapchat和YouTube上六项隐私与安全任务的专家评估,与11名14至17岁青少年尝试这些任务的受控有声思维会话相结合。交互成本和暗黑模式分析使我们能够将每项任务中设计的复杂度与参与者在定位、配置和理解控制项时所付出的努力进行比较。反复出现的暗黑模式出现在各项任务中,且大多数参与者的尝试超过了专家基线。因此,保护性设置在实践中的可用性或持久性可能不足,我们提出一种整合专家评估、可用性测试、交互成本和暗黑模式分析的路标审计方法。

英文摘要

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.

发表机构

  • Indiana University(印第安纳大学)

机构由 AI 辅助整理,请以论文原文为准。

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