Addressing Misinformation Challenges in War Scenario: Russo-Ukrainian War

This study introduces a new dataset focused on the analysis of fake news, misinformation, and the assessment of similarity between newspaper articles related to the large-scale Russian invasion of Ukraine, effectively constituting a war between the two countries. Leveraging advanced Natural Language Processing (NLP) techniques, the research aims to thoroughly examine the public narrative of the events associated with this invasion and, consequently, the creation of the dataset under investigation. The analysis seeks to provide a subjective evaluation of various journalistic sources reporting on the most significant events. In essence, this work offers a detailed presentation of the studied events and dataset characteristics, providing an overview of the NLP techniques employed to explore article similarity and the methods used for propaganda detection. Importantly, this work represents only a first step toward our ambitious goal and, hopefully, will encourage further research in this direction.