Collective Consent: Who Needs to Consent to the Donation of Data Representing Multiple People?
Emma Walquist, Isha Datey, Wenqi Zheng, Xiangyu Zhou, Kelly Berishaj, Melissa Mcdonald, Michele Parkhill, Dongxiao Zhu, Douglas Zytko
Abstract
Data donation is a growing form of personal data collection that foregrounds consent and conscious participation of the data donor. There remains little guidance on who must consent to data donation, particularly when the data represents multiple people. We provide empirical perspectives on this question through in-situ observation and interviews (N=18) with online daters who chose to donate messaging interactions with potential sexual partners for sexual violence research. Findings elucidate two diverging perspectives. Participants advocating for ''unilateral consent'' argued that consent of their messaging partner is not necessary, in part, because the anticipated benefit of data donation superseded consent. Participants advocating for ''collective consent'' wanted both messaging partners to consent to its donation, citing concerns for privacy of, and personal relationships with, the other person. Findings suggest that collective consent interfaces should be incorporated in data donation platforms, even if not strictly required by legal regulation, to improve donation of multi-person data.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 14e66d79-b7df-46d7-bfb9-e5b6696abc0aCited by top-tier papers3
- Beyond Affirmative Consent: Creating Alternative Models for Consent to Computer-Mediated Sexual Activity Through Social VR for Online DatingDouglas Zytko, Devin Tebbe, Braeden Burger, Emma Walquist et al.CSCW 2025 · 4 citations
- When Feasibility of Fairness Audits Relies on Willingness to Share Data: Examining User Acceptance of Multi-Party Computation Protocols for Fairness MonitoringChangyang He, Parnian Jahangirirad, Lin Kyi, Asia J. BiegaCHI 2026 · 1 citation
- From Clicks to Consensus: Collective Consent Assemblies for Data GovernanceLin Kyi, Paul Gölz, Robin Berjon, Asia J. BiegaCHI 2026 · 1 citation
Related papers
- Computer-Mediated Consent to Sex: The Context of TinderDouglas Zytko, Nicholas Furlo, Bailey Carlin, Matthew ArcherCSCW 2021 · 56 citations
- "It's Not What We Were Trying to Get At, but I Think Maybe It Should Be": Learning How to Do Trauma-Informed Design with a Data Donation Platform for Online Dating Sexual ViolenceWenqi Zheng, Emma Walquist, Isha Datey, Xiangyu Zhou et al.CHI 2024 · 21 citations
- Online Dating as Context to Design Sexual Consent Technology with Women and LGBTQ+ StakeholdersDouglas Zytko, Nicholas FurloCHI 2023 · 29 citations
- "I Wanted Them to Think That I Wrote That": AI-Generated Self-Presentation on Dating Apps and Implications of Non-Disclosure on Informed ConsentMeryem Barkallah, Douglas ZytkoCHI 2026 · 4 citations
- The Dating Metaverse: Why We Need to Design for Consent in Social VRDouglas Zytko, Jonathan ChanIEEE VR 2023 · 50 citations
