Privacy versus Transparency: Navigating Public Records Requests and Adversarial Dynamics in a Distributed Multi-Stakeholder Collaboration
Public records laws are standard for state and federal governments across the U.S. Such laws rest on the core notion that transparency, enacted through access to governmental documentation, will ensure accountability and minimize governmental corruption. However, these laws can also be exploited to harass or burden government employees, including researchers at public universities. CSCW researchers have both an acute vulnerability to these requests, e.g., due to increasing politicization of topics core to our research agenda, and a unique opportunity to study challenges around public records requests as they intersect with the design and use of collaboration technologies. In this paper, we explore how a large number of public records requests (PRRs) affected the collaborative work of a large, multi-site academic research project. We find that — though participants believed PRRs were a valuable tool for government transparency — they added a complicated new dimension to distributed "work" which blends personal and professional dimensions. We explain how researchers interpreted these requests and adapted their communication techniques in response. We discuss how current technologies for communication and collaboration are unprepared to ensure personal privacy and security within adversarial research environments — and collaborative work environments more broadly. Finally, we highlight the misalignment between long-standing transparency laws and the current design of collaboration technologies and provide recommendations for updating these laws.
Authors
- Sukrit Venkatagiri (ORCID: https://orcid.org/0000-0002-3888-7693)
- Rachel Elizabeth Moran (ORCID: https://orcid.org/0000-0001-8865-2991)
- Kate Starbird (ORCID: https://orcid.org/0000-0003-1661-4608)
- Emma S. Spiro (ORCID: https://orcid.org/0000-0002-6792-3390)
Institutions
- Swarthmore College (US)
- University of Washington (US)
Publication Details
- Journal
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1145/3711050
- Primary Topic
- Privacy, Security, and Data Protection
- Type
- article
- Field-Weighted Citation Impact
- 0.00