@inproceedings{d3b5d474607b44f49b2f5fd5755e61f3,
title = "Photos and Tags: A Method to Evaluate Privacy Behavior",
abstract = "Online Social Networking Sites attracted a massive number of users over the past decade but also raised privacy concerns with the amount of personal information disclosed. Studies have shown that 25\% of the users are not aware of privacy settings provided by these sites or do not know how to change them. This paper investigates an approach towards understanding users{\textquoteright} privacy behavior on social media, e.g. Facebook, through studying faces, tags and photo privacy settings. It classifies users based on their privacy selections and proposes a system for monitoring and recommending stronger privacy settings. An application is developed, and our case study examines the effectiveness of our model.",
keywords = "Classification, Face, Privacy, Social media, Tag",
author = "Roba Darwish and Kambiz Ghazinour",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; Computing Conference, 2019 ; Conference date: 16-07-2019 Through 17-07-2019",
year = "2019",
doi = "10.1007/978-3-030-22868-2\_55",
language = "English",
isbn = "9783030228675",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "797--816",
editor = "Kohei Arai and Rahul Bhatia and Supriya Kapoor",
booktitle = "Intelligent Computing - Proceedings of the 2019 Computing Conference",
}