Computer Science > Human-Computer Interaction
[Submitted on 24 Jun 2025
(v1)
, last revised 20 Sep 2025 (this version, v3)]
Title: HARPT: A Corpus for Analyzing Consumers' Trust and Privacy Concerns in Electronic Health Apps
Title: HARPT：用于分析电子健康应用程序中消费者信任和隐私担忧的语料库
Abstract: We present Health App Reviews for Privacy & Trust (HARPT), a large-scale annotated corpus of user reviews from Electronic Health (eHealth) applications (apps) aimed at advancing research in user privacy and trust. The dataset comprises 480K user reviews labeled in seven categories that capture critical aspects of trust in applications (TA), trust in providers (TP), and privacy concerns (PC). Our multistage strategy integrated keyword-based filtering, iterative manual labeling with review, targeted data augmentation, and weak supervision using transformer-based classifiers. In parallel, we manually annotated a curated subset of 7,000 reviews to support the development and evaluation of machine learning models. We benchmarked a broad range of models, providing a baseline for future work. HARPT is released under an open resource license to support reproducible research in usable privacy and trust in digital libraries and health informatics.
Submission history
From: Timoteo Kelly [view email][v1] Tue, 24 Jun 2025 02:59:14 UTC (214 KB)
[v2] Thu, 26 Jun 2025 15:23:54 UTC (214 KB)
[v3] Sat, 20 Sep 2025 07:58:59 UTC (73 KB)
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