It's the Wild, Wild West: Lessons Learned From IRB Members' Risk Perceptions Toward Digital Research Data
Jina Huh-Yoo, Emilee Rader
摘要
Digital technology that is prevalent in people's everyday lives, including smart home devices, mobile apps and social media, increasingly lack regulations for how the user data can be collected, used or disseminated. The CSCW and the larger computing community continue to evaluate and understand the potential negative impacts of research involving digital technologies. As more research involves digital data, Institutional Review Boards (IRBs) take on the difficult task of evaluating and determining risks--likelihood of potential harms--from digital research. Learning more about IRBs' role in concretizing harm and its likelihood will help us critically examine the current approach to regulating digital research, and has implications for how researchers can reflect on their own data practices. We interviewed 22 U.S.-based IRB members and found that, for the interviewees, "being digital" added a risk. Being digital meant increasing possibilities of confidentiality breach, unintended collection of sensitive information, and unauthorized data reuse. Concurrently, interviewees found it difficult to pinpoint the direct harms that come out of those risks. The ambiguous, messy, and situated contexts of digital research data did not fit neatly into current human subjects research protection protocols. We discuss potential solutions for understanding risks and harms of digital technology and implications for the responsibilities of the CSCW and the larger computing community in conducting digital research.
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 Paper7
- Using HCI in Cross-Disciplinary Teams: A Case Study of Academic Collaboration in HCI-Health Teams in the US Using a Team Science PerspectiveElena Agapie, Shefali Haldar, Sharmaine Galvez PobleteCSCW 2022 · 被引用 22 次
- Perennial Semantic Data Terms of Use for Decentralized WebRui Zhao, Jun ZhaoWWW 2024 · 被引用 9 次
- With Visual Integrity and Care: A Framework for Mixed Methods Research on Visual Social DataNina Lutz, Joseph S. Schafer, Priya Dhawka, Phil Tinn 等CHI 2026 · 被引用 2 次
- Designing Value-Centered Consent Interfaces: A Mixed-Methods Approach to Support Patient Values in Data-Sharing DecisionsDavid Leimstädtner, Peter Sörries, Claudia Müller-BirnCSCW 2025 · 被引用 2 次
- Ethics in Computer Security Research: A Data-Driven Assessment of the Past, the Present, and the Possible FutureHarshini Sri Ramulu, Helen Schmitt, Bogdan Rerich, Rachel Gonzalez Rodriguez 等CCS 2025
相关 Paper
- SoK: Safer Digital-Safety Research Involving At-Risk UsersRosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla 等S&P 2024 · 被引用 48 次
- In Search of "a Way to Level the Playing Field": Helping Incidental Users Navigate Privacy Risks in Smart EnvironmentsSunyup Park, Nidhi Nellore, Michael Zimmer, Jessica VitakCSCW 2025
- Understanding the Behavior, Challenges, and Privacy Risks in Digital Technology Use by Nursing ProfessionalsAnkit Shrestha, Danielle M. Graham, Prakriti Dumaru, Rizu Paudel 等CSCW 2022 · 被引用 33 次
- Out of Sight, Out of Mind? Exploring Data Protection Practices for Personal Data in Usable Security & Privacy StudiesFlorin Martius, Luisa Jansen, Lukas Struck, Arthi Arumugam 等CHI 2025 · 被引用 7 次
- The Human in Emotion Recognition on Social Media: Attitudes, Outcomes, RisksNazanin Andalibi, Justin BussCHI 2020 · 被引用 118 次
