Design(ing) Fictions for Collective Civic Reporting of Privacy Harms
Yuxi Wu, William Agnew, W. Keith Edwards, Sauvik Das
摘要
Individually-experienced privacy harms are often difficult to demonstrate and quantify, which impedes efforts for their redress. Their effects often appear small and are inconsistently documented, and they only become more obvious when aggregated over time and across populations. Taking a design fiction approach, we explore the design requirements and cultural ideals of a government-run system that empowers people to collectively report on and make sense of experiences of privacy harm from online behavioral advertising. Through the use of fictional inquiry, story completion, and comicboarding methods, delivered in an online survey with 50 participants, we found that participants had detailed conceptions of the user experience of such a tool, but wanted assurance that their labor and personal data would not be exploited further by the government if they contributed evidence of harm. We extrapolate these design insights to government-supported complaintreporting platforms in other domains, finding multiple common design gaps that might disincentivize people to report experiences of harm, be they privacy-related or otherwise.
CCS Concepts: • Security and privacy → Human and societal aspects of security and privacy; • Humancentered computing → HCI design and evaluation methods; Collaborative and social computing design and evaluation methods.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- Supporting Informed Self-Disclosure: Design Recommendations for Presenting AI-Estimates of Privacy Risks to UsersIsadora Krsek, Meryl Ye, Wei Xu, Alan Ritter 等CHI 2026 · 被引用 1 次
- From Clicks to Consensus: Collective Consent Assemblies for Data GovernanceLin Kyi, Paul Gölz, Robin Berjon, Asia J. BiegaCHI 2026 · 被引用 1 次
它引用的顶会 Paper13
- The Psychological Well-Being of Content Moderators: The Emotional Labor of Commercial Moderation and Avenues for Improving SupportMiriah Steiger, Timir J. Bharucha, Sukrit Venkatagiri, Martin J. Riedl 等CHI 2021 · 被引用 168 次
- Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic BehaviorsHong Shen, Alicia DeVos, Motahhare Eslami, Kenneth HolsteinCSCW 2021 · 被引用 156 次
- The Politics of Privacy Theories: Moving from Norms to VulnerabilitiesNora McDonald, Andrea ForteCHI 2020 · 被引用 119 次
- Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless ServicesTzu-Sheng Kuo, Hong Shen, Jisoo Geum, Nev Jones 等CHI 2023 · 被引用 82 次
- Still Creepy After All These Years: The Normalization of Affective Discomfort in App UseJohn S. Seberger, Irina Shklovski, Emily Swiatek, Sameer PatilCHI 2022 · 被引用 75 次
相关 Paper
- "A Reasonable Thing to Ask For": Towards a Unified Voice in Privacy Collective ActionYuxi Wu, W. Keith Edwards, Sauvik DasCHI 2022 · 被引用 23 次
- Platforms as Crime Scene, Judge, and Jury: How Victim-Survivors of Non-Consensual Intimate Imagery Report Abuse OnlineLi Qiwei, Katelyn Kennon, Nicole Bedera, Asia A. Eaton 等CHI 2026 · 被引用 2 次
- Towards Youth-Sensitive Hateful Content Reporting: An Inclusive Focus Group Study in GermanyJulian Bäumler, Helen Bader, Marc-André Kaufhold, Christian ReuterCHI 2025 · 被引用 2 次
- When and Why Do People Want Ad Targeting Explanations? Evidence from a Four-Week, Mixed-Methods Field StudyHao-Ping (Hank) Lee, Jacob Logas, Stephanie S. Yang, Zhouyu Li 等S&P 2023
- Online Harassment in Majority Contexts: Examining Harms and Remedies across CountriesSarita Schoenebeck, Amna Batool, Giang Do, Sylvia Darling 等CHI 2023 · 被引用 31 次
