Over the past decades, online social networks such as Twitter and Facebook have become
a significant part of people's daily lives, particularly amid the ongoing global calamity-the …

In this paper, we propose a machine learning approach to detecting malicious bots on the
VKontakte social network. The advantage of this approach is that only the friends graph is …

Message passing neural networks such as graph convolutional networks (GCN) can jointly
consider various types of features for social bot detection. However, the expressive power of …

Social bots are social media accounts controlled by software that can carry out interactions
and post content automatically. Malicious bots are designed to emulate real users, placing …

Despite the increased attention and substantial research into it claiming outstanding
successes, the problem of misinformation containment has only been growing in the recent …

Social bots, or social media accounts controlled in part by software, have gained significant
attention from academia and the public. They can amplify certain viewpoints and interact …

In this thesis, we propose machine learning techniques to detecting and characterizing
malicious bots in social networks. The novelty of these techniques is that only interaction …

Résumé Dans cette thèse nous proposons des techniques d'apprentissage automatique
ayant comme but la détection et caractérisation des bots malveillants dans les réseaux …