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HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps
Jun 18, 2025
Kelly, Timoteo, 2025, "HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps", https://doi.org/10.7910/DVN/U6OF6F, Harvard Dataverse, V1, UNF:6:LPiZCP9g1mmX7x6zOUomww== [fileUNF]
We present HARPT, a large-scale annotated dataset of mobile health app store reviews focused on privacy and trust. The dataset includes 480,000 user reviews categorized into seven classes reflecting key dimensions of privacy concerns, trust in application, and trust in provider.
ground_truth.csv
Jun 18, 2025 - HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps
Comma Separated Values - 1.1 MB - MD5: 165f461f56f82141482c3ba064e9eea5
7,000 manual annotated and data augmented training set.
HARPT.tab
Jun 18, 2025 - HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps
Tabular Data - 133.0 MB - 14 Variables, 480450 Observations - UNF:6:LPiZCP9g1mmX7x6zOUomww==
v1 of 480,450 user reviews scraped from 67 telehealth and patient portal mobile health applications from Google Play Store from 2011-2025.
README.md
Jun 18, 2025 - HARPT: A Corpus for Analyzing Consumers’ Trust and Privacy Concerns in Mobile Health Apps
Markdown Text - 1.1 KB - MD5: c611dfa9a99e44df0f3915e2b5b58fe3
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