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8 results for “privacy policy”

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zenodo48/100

Privacy Policies Paragraph containing Personal Data

<p>The data consists in crawled privacy policies from European privacy policies. They were split into paragraphs and annotated as containing or not personal data.</p> <p>The question that was asked to annotators was &quot;Does this paragraph contain the explicit mention of specific personal data (e.g. name, phone number, social security, &hellip;) being collected?&quot;.</p> <p>A full description of the dataset can be found in D3.4 of the SMOOTH project</p>

opencc-by-4.0Apr 2020View details →
zenodo48/100

Cross-language corpora of privacy policies

<p>The dataset consists of three different privacy policy corpora (in English and Italian) composed of 81 unique privacy policy texts spanning the period 2018-2021. This dataset makes available an example of three corpora of privacy policies. The first corpus is the English-language corpus, the original used in the study by Tang et al. [2]. The other two are cross-language corpora built (one, the source corpus, in English, and the other, the replication corpus, in Italian, which is the language of a potential replication study) from the first corpus.</p> <p>The policies were collected from:</p> <ol> <li>the Alexa top 10 Italy and U.S. websites rank;</li> <li>the Play Store apps rank in the &quot;most profitable games&quot; category of the Play Store for Italy and the U.S.</li> </ol> <p>We manually analyzed the Alexa top 10 Italy websites as of November 2021. Analogously, we analyzed selected apps that, in the same period, had ranked better in the &quot;most profitable games&quot; category of the Play Store for Italy.</p> <p>All the privacy policies are ANSI-encoded text files and have been manually read and verified.<br> The dataset is helpful as a starting point for building comparable cross-language privacy policies corpora. The availability of these comparable cross-language privacy policies corpora helps replicate studies in different languages.&nbsp;<br> Details on the methodology can be found in the accompanying paper.</p> <p>The available files are as follows:</p> <ul> <li><strong>policies-texts.zip</strong> --&gt;&nbsp;contains a directory of text files with the policy texts. File names are the SHA1 hashes of the policy text.</li> <li><strong>policy-metadata.csv</strong> --&gt;&nbsp;Contains a CSV file&nbsp;with the metadata&nbsp;for each privacy policy.</li> </ul> <p>This dataset is the original dataset used in the publication [1]. The original English U.S. corpus is described in the publication [2].</p> <p>[1] F. Ciclosi, S. Vidor and F. Massacci. &quot;Building cross-language corpora for human&nbsp;understanding of privacy policies.&quot; Workshop on Digital Sovereignty in Cyber Security: New Challenges in Future Vision. Communications in Computer and Information Science. Springer International Publishing, 2023, In press.</p> <p>[2] J. Tang, H. Shoemaker, A. Lerner, and E. Birrell. Defining Privacy: How Users&nbsp;Interpret Technical Terms in Privacy Policies. Proceedings on Privacy Enhancing&nbsp;Technologies, 3:70&ndash;94, 2021.</p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

Greek privacy policies dataset from PCI 2023 paper: "A privacy policies dataset in Greek in the GDPR era"

<p>A dataset of privacy policies in the Greek language, with policies coming from top visited websites in Greece with a privacy policy in the Greek language.</p> <p>The dataset, as well as results of its analysis are included.</p> <p>if you want to use this dataset, please cite the relevant conference publication:</p> <p>Georgia M. Kapitsaki and Maria Papoutsoglou, "A privacy policies dataset in Greek in the GDPR era, in Proceedings of the 27th Pan-Hellenic Conference on Informatics, PCI 2023.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Privacy policies from legitimate and rogue web sites

<p>This dataset contains 100 privacy policies as well as 69 from rogue sites. The legitimate policies were collected from the web sites of the top 100 companies in the Global 500 list published by Forbes magazine in 2016. The rogue policies were collected mainly from the SpywareGuide.com online archive. All policies are in ASCII format and have been manually read and verified.</p>

opencc-by-4.0Jan 2017View details →
zenodo36/100

Longitudinal corpus of privacy policies

<p>This is a corpus of 56,416 unique privacy policy texts spanning the years 1996-2021.</p> <ul> <li>policy-texts.zip contains a directory of text files with the policy texts. File names are the hashes of the policy text.</li> <li>policy-metadata.zip contains two CSV files (can be imported into a pandas dataframe) with policy metadata including readability measures for each policy text.</li> <li>labeled-policies.zip contains CSV files with content labels for each policy. Labeling was done using a BERT classifier.</li> </ul> <p>Details on the methodology can be found in the accompanying paper:</p> <p>Isabel Wagner. 2023. Privacy Policies across the Ages: Content of Privacy Policies 1996&ndash;2021. ACM Trans. Priv. Secur. 26, 3, Article 32 (August 2023), 32 pages. https://doi.org/10.1145/3590152</p>

opencc-by-4.0Jan 2022View details →
dryad32/100

Evaluating privacy policies of AI-powered mHealth iOS applications

Open the record for dataset details and reuse information.

publicAug 2025View details →
zenodo28/100

Data Observasi Analisis Privacy Policy Aplikasi E-Government Tingkat Daerah

<p>Dataset ini bertindak sebagai hasil seluruh observasi mengenai <strong>Analisis Kepatuhan Keamanan Aplikasi <em>E-Government</em> Tingkat Daerah Sebagai Penunjang <em>New Normal</em></strong>. Terdapat dua data yang tersajikan, yakni:</p> <ul> <li>Data kategorisasi permintaan akses pada Aplikasi Pemerintah Daerah. Data ini berisikan <strong>jenis akses</strong> dan <strong>level perlindungan izin </strong>yang dimiliki pada aplikasi <em>e-government </em>tingkat daerah</li> <li>Data pribadi yang diminta pada sampel Aplikasi Pemerintah Daerah. Data ini berisikan deskripsi data pribadi seperti nama, tempat tanggal lahir, password yang diinputkan pada aplikasi <em>e-government </em>tingkat daerah</li> </ul>

opencc-by-4.0Oct 2020View details →
zenodo8/100

Dataset for privacy policy analysis

<p>Two annotated datasets of 133 privacy&nbsp;policies of smart home devices and fitness trackers for the two cases&nbsp; a) extracting<br> information regarding the eight GDPR user rights present in a privacy policy, and b) extracting information about possible data inferences that can be drawn about the user based on the&nbsp;collected data as described in the text of the privacy policy.</p>

restrictedMay 2023View details →

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International Brain Laboratory public data

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Last verified 2026-04-29Open record