24 citations · 78 across the 7 of their papers we have counts for
7 papers
White-Basilisk: A Hybrid Model for Code Vulnerability Detection
Ioannis Lamprou, Alexander Shevtsov, Ioannis Arapakis +1
The proliferation of software vulnerabilities presents a significant challenge to cybersecurity, necessitating more effective detection methodologies. We introduce White-Basilisk,…
Russo-Ukrainian War: Prediction and explanation of Twitter suspension
Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou +3
On 24 February 2022, Russia invaded Ukraine, starting what is now known as the Russo-Ukrainian War, initiating an online discourse on social media. Twitter as one of the most popul…
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou +2
Twitter, as one of the most popular social networks, provides a platform for communication and online discourse. Unfortunately, it has also become a target for bots and fake accoun…
Twitter Dataset on the Russo-Ukrainian War
Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki +2
On 24 February 2022, Russia invaded Ukraine, also known now as Russo-Ukrainian War. We have initiated an ongoing dataset acquisition from Twitter API. Until the day this paper was…
Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study
Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki +1
Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured. It provides a simple usage framewo…
Analysis of Twitter and YouTube during USelections 2020
Alexander Shevtsov, Maria Oikonomidou, Despoina Antonakaki +2
The presidential elections in the United States on 3 November 2020 have caused extensive discussions on social media. A part of the content on US elections is organic, coming from…
Discovery and classification of Twitter bots
Alexander Shevtsov Alexander Shevtsov, Maria Oikonomidou, Despoina Antonakaki +4
A very large number of people use Online Social Networks daily. Such platforms thus become attractive targets for agents that seek to gain access to the attention of large audience…