Evaluating a Data Fiduciary Standard for Privacy: Developer and End-user Perspectives

As concern over data privacy and existing privacy regulations grows, legal scholars have proposed alternative models for data privacy. This work explores the impact of one such model---the data fiduciary model, which would stipulate that data processors must use personal information only in ways that reflect the best interest of the data subject---through a pair of user studies. We first conduct an interview study with nine mobile app developers in which we explore whether, how, and why these developers believe their current data practices are consistent with the best interest of their users. We then conduct an online study with 390 users in which we survey participants about whether they consider the same data practices to be in their own best interests. We also ask both developers and users about their attitudes towards and their predictions about the impact of a data fiduciary law, and we conclude with recommendations about such an approach to future privacy regulations.

Authors

Institutions

Publication Details

Journal
Proceedings on Privacy Enhancing Technologies
Published
2025-05-19
DOI
https://doi.org/10.56553/popets-2025-0114
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating a Data Fiduciary Standard for Privacy: Developer and End-user Perspectives

Maoxin Tang, Eleanor Birrell, Luis Torres, Liam Bayer
Proceedings on Privacy Enhancing Technologies
Privacy-Preserving Technologies in Data
article

Evaluating a Data Fiduciary Standard for Privacy: Developer and End-user Perspectives

Maoxin Tang, Eleanor Birrell, Luis Torres, Liam Bayer
article en

Abstract

As concern over data privacy and existing privacy regulations grows, legal scholars have proposed alternative models for data privacy. This work explores the impact of one such model---the data fiduciary model, which would stipulate that data processors must use personal information only in ways that reflect the best interest of the data subject---through a pair of user studies. We first conduct an interview study with nine mobile app developers in which we explore whether, how, and why these developers believe their current data practices are consistent with the best interest of their users. We then conduct an online study with 390 users in which we survey participants about whether they consider the same data practices to be in their own best interests. We also ask both developers and users about their attitudes towards and their predictions about the impact of a data fiduciary law, and we conclude with recommendations about such an approach to future privacy regulations.

Proceedings on Privacy Enhancing TechnologiesVol. 2025(3)
Pomona College (US)
Openalex Percentile: Top 95%
Privacy-Preserving Technologies in Data
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.

Evaluating a Data Fiduciary Standard for Privacy: Developer and End-user Perspectives — Maoxin Tang, Eleanor Birrell, et al. · Proceedings on Privacy Enhancing Technologies (2025) | TGRS Research Map | TGRS