3 citations · 5 across the 5 of their papers we have counts for
5 papers
DeTox-Fed: Detecting Toxic Conversations in the Fediverse with Federated Graph Neural Networks
Pantelitsa Leonidou, Nikos Salamanos, Sotiris Gypsiotis +1
The rise of decentralized social networks (DSNs), and in particular the rapid uptake of the Fediverse (e.g., Pleroma, Mastodon, Lemmygrad), introduces new challenges in content mod…
HyperGraphDis: Leveraging Hypergraphs for Contextual and Social-Based Disinformation Detection
Nikos Salamanos, Pantelitsa Leonidou, Nikolaos Laoutaris +3
In light of the growing impact of disinformation on social, economic, and political landscapes, accurate and efficient identification methods are increasingly critical. This paper…
Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models
Christos Christodoulou, Nikos Salamanos, Pantelitsa Leonidou +2
Misinformation on YouTube is a significant concern, necessitating robust detection strategies. In this paper, we introduce a novel methodology for video classification, focusing on…
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case
Pantelitsa Leonidou, Nicolas Kourtellis, Nikos Salamanos +1
Users are daily exposed to a large volume of harmful content on various social network platforms. One solution is developing online moderation tools using Machine Learning techniqu…
A Privacy-Preserving Architecture for the Protection of Adolescents in Online Social Networks
Markos Charalambous, Petros Papagiannis, Antonis Papasavva +8
Online social networks (OSN) constitute an integral part of people's every day social activity. Specifically, mainstream OSNs such as Twitter, YouTube, and Facebook are especially…