From “I have nothing to hide” to “Its stalking”: Americans’ comfort sharing individual mobility features

Smartphone applications routinely collect precise location data from users by offering free services and this information is often monetized for advertising and marketing purposes. While many companies limit sales to aggregate behaviors, data aggregators and data brokers (DA&DB) provide access to individual-level location data. Some DA&DB have implemented privacy-preserving rules and the Federal Trade Commission (FTC) has also intensified its regulations on location-data practices. This paper presents an in-depth exploration of U.S. privacy perceptions regarding specific location features that can be derived from data made available by DA&DB. These findings can provide policy-relevant insights that could assist organizations such as the FTC in defining clearer access rules. Using a factorial vignette survey, we collected responses from 1,405 participants to assess comfort levels with sharing various types of location features, including individual trajectories and visits to points of interest, which are currently available for purchase from DA&DB worldwide. Our results show that trajectory-related features elicit higher privacy concerns, that certain data broker based obfuscation practices increase comfort, and that race, ethnicity and education have an effect on data sharing privacy perceptions.

Publication Details

Journal
Big Data & Society
Published
2026-03-01
DOI
https://doi.org/10.1177/20539517261429203
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

From “I have nothing to hide” to “Its stalking”: Americans’ comfort sharing individual mobility features

Big Data & Society
Privacy, Security, and Data Protection
article

From “I have nothing to hide” to “Its stalking”: Americans’ comfort sharing individual mobility features

article en

Abstract

Smartphone applications routinely collect precise location data from users by offering free services and this information is often monetized for advertising and marketing purposes. While many companies limit sales to aggregate behaviors, data aggregators and data brokers (DA&DB) provide access to individual-level location data. Some DA&DB have implemented privacy-preserving rules and the Federal Trade Commission (FTC) has also intensified its regulations on location-data practices. This paper presents an in-depth exploration of U.S. privacy perceptions regarding specific location features that can be derived from data made available by DA&DB. These findings can provide policy-relevant insights that could assist organizations such as the FTC in defining clearer access rules. Using a factorial vignette survey, we collected responses from 1,405 participants to assess comfort levels with sharing various types of location features, including individual trajectories and visits to points of interest, which are currently available for purchase from DA&DB worldwide. Our results show that trajectory-related features elicit higher privacy concerns, that certain data broker based obfuscation practices increase comfort, and that race, ethnicity and education have an effect on data sharing privacy perceptions.

Big Data & SocietyVol. 13(1)
Openalex Percentile: Top 9%
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.

From “I have nothing to hide” to “Its stalking”: Americans’ comfort sharing individual mobility features · Big Data & Society (2026) | TGRS Research Map | TGRS