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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Privacy versus Transparency: Navigating Public Records Requests and Adversarial Dynamics in a Distributed Multi-Stakeholder Collaboration

Sukrit Venkatagiri, Rachel Elizabeth Moran, Kate Starbird, Emma S. Spiro
Proceedings of the ACM on Human-Computer Interaction
Privacy, Security, and Data Protection
article

Privacy versus Transparency: Navigating Public Records Requests and Adversarial Dynamics in a Distributed Multi-Stakeholder Collaboration

Sukrit Venkatagiri, Rachel Elizabeth Moran, Kate Starbird, Emma S. Spiro
article en

Abstract

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.

Proceedings of the ACM on Human-Computer InteractionVol. 9(2)
Swarthmore College (US), University of Washington (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 88%
Privacy, Security, and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.