Russo-Ukrainian War: Prediction and explanation of Twitter suspension

1 code implementation • 6 Jun 2023 • Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou, Ioannis Kontogiorgakis, Polyvios Pratikakis, Sotiris Ioannidis

This study focuses on the Twitter suspension mechanism and the analysis of shared content and features of the user accounts that may lead to this.

BotArtist: Twitter bot detection Machine Learning model based on Twitter suspension

no code implementations • 31 May 2023 • Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou, Polyvios Pratikakis, Sotiris Ioannidis

We collect the ground truth for our dataset through the Twitter API suspended accounts collection, containing approximately 343K of bot accounts and 8M of normal users.

Twitter Bot Detection

Twitter Dataset on the Russo-Ukrainian War

1 code implementation • 7 Apr 2022 • Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki, Polyvios Pratikakis, Sotiris Ioannidis

On 24 February 2022, Russia invaded Ukraine, also known now as Russo-Ukrainian War.

Sentiment Analysis

Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study

1 code implementation • 8 Dec 2021 • Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki, Sotiris Ioannidis

Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured.

Feature Importance Twitter Bot Detection