title: An Entity-Aware Approach to Logical Fallacy Detection in Kremlin Social Media Content
abstract: Logical fallacy detection has emerged as a novel and challenging task for language models, more complex than traditional fake news or hate speech detection. This research-in-progress examines an Entity-Aware Approach for logical fallacy detection adapted for a timely use case of Kremlin social media content. As part of this study, a curated dataset of tweets about the war in Ukraine published by Russian government accounts, RuFal, is introduced, on which the Entity-Aware Approach is tested. Prel