This paper identifies an important problem with posting on social networks and proposes a unique two phases approach to address the problem. The first phase ...

The results showed that our approach has an 85% detection rate which outperforms other existing approaches. Second, we propose utilizing trust between friends ...

Request PDF | On May 1, 2016, Rahaf Barakat and others published Automated framework to improve users' awareness on Online Social Networks | Find, ...

Dive into the research topics of 'Automated framework to improve users' awareness on Online Social Networks'. Together they form a unique fingerprint. Sort by ...

This paper introduces an improved framework for Users' Awareness of Online Social Networks. In our initial work, we identified critical privacy issues related ...

A set of detection rules have been developed for this purpose and tested with over 16000 real Facebook posts. The detection system success rate was about 85%.

The widespread usage of Online Social Networks (OSN) has introduced new privacy threats. These threats emerge when users intentionally but unknowingly share ...

Jan 15, 2022 · In this paper, we propose a novel approach based on machine learning and sentence embedding techniques with the primary goal of providing privacy awareness to ...

Nov 6, 2023 · This paper delves into the transformative potential of decentralized social networks as a remedy for the privacy, censorship, and user autonomy concerns

In this study, we aim to automatically extract PII in social media to raise users' privacy awareness. While exposed PII can be misused by cyber criminals ...