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Authors: Michalis Kaili and Georgia M. Kapitsaki

Affiliation: Department of Computer Science, University of Cyprus, Kallipoleos 75, Nicosia, Cyprus

Keyword(s): Privacy Policy, Privacy Awareness, User Friendly, GDPR.

Abstract: A plethora of privacy policies are available online, as all websites need to inform the users in detail about the processing of their personal data, especially in the recent years in order to comply with the European General Data Protection Regulation (GDPR). As these texts tend to be very long, understanding their content takes time and is not easy for the majority of users that usually do not spend the time to read the policy texts. In this paper, we present our work on Privacy Policy Beautifier that aims to bring privacy policies closer to the user by highlighting specific parts of the text and presenting the information in different formats: textual with colors, pie chart, word cloud and GDPR terms presence. For the main part of this process, we utilize machine learning techniques. Privacy policy Beautifier has been evaluated via the survey methodology with 90 users and shows potential for assisting in the creation of more user-friendly privacy policy representations.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kaili, M. and Kapitsaki, G. (2022). Privacy Policy Beautifier: Bringing Privacy Policies Closer to Users. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-613-2; ISSN 2184-3252, SciTePress, pages 54-63. DOI: 10.5220/0011541600003318

@conference{webist22,
author={Michalis Kaili. and Georgia M. Kapitsaki.},
title={Privacy Policy Beautifier: Bringing Privacy Policies Closer to Users},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST},
year={2022},
pages={54-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011541600003318},
isbn={978-989-758-613-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - WEBIST
TI - Privacy Policy Beautifier: Bringing Privacy Policies Closer to Users
SN - 978-989-758-613-2
IS - 2184-3252
AU - Kaili, M.
AU - Kapitsaki, G.
PY - 2022
SP - 54
EP - 63
DO - 10.5220/0011541600003318
PB - SciTePress