approved
Privacy Policies Compliance

Dataset composed of 30 privacy policies of online platforms, annotated to assess the level of comprehensiveness of information. This work focuses on the processed categories of data, classifying each clause either as fully informative or as insufficiently informative.

Tags
Data and Resources
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Personal Data Attributes

Description: Personal Data related Information

Field Value
Anonymised No
ChildrenData No
Cross Border Authorised No
Data Protection Impact Assessment (if Sensitive Data) No
Ethics Committee Approval (if not Sensitive Data) No
General Data Yes
Informed Consent Template (if Sensitive Data) No
Personal Data No
Personal data was manifestly made public by the data subject No
Sensitive Data No
Additional Info
Field Value
Accessibility OnLine
Associate Project FAIR
Basic rights Download
Creation Date 2024-12-05
Creator Galassi, Andrea
Data sharing agreement yes
Dataset Citation Grundler, G., Liepiņa, R., Musicco, M., Lagioia, F., Galassi, A., Sartor, G., & Torroni, P. (2024). Detecting Vague Clauses in Privacy Policies: The Analysis of Data Categories Using BERT Models and LLMs. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems – JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024 (Vol. 395, pp. 72–83). IOS Press. https://doi.org/10.3233/FAIA241235.
FAIR Spoke Spoke8
Field/Scope of use Research only
Group Others
License term 2024-12-01 /2029-12-31
Processing Degree Primary
SoBigData Node SoBigData EU
Sublicense rights No
Territory of use Europe
Thematic Cluster Other
system:type Dataset
Management Info
Field Value
Author Galassi Andrea
Maintainer Galassi Andrea
Version 1
Last Updated 22 June 2025, 01:00 (CEST)
Created 22 June 2025, 01:00 (CEST)