Vandalism Detection

Vandalism detection research focuses on automatically identifying malicious edits in online collaborative platforms like Wikipedia and OpenStreetMap. Current efforts leverage machine learning, particularly neural networks with attention mechanisms, to analyze diverse features encompassing user behavior, edit content, and contextual information, aiming for improved accuracy and fairness across multiple languages. These advancements are crucial for maintaining the integrity and trustworthiness of these platforms, impacting both the quality of online information and the efficiency of community moderation efforts.