A Survey on Online Aggression: Content Detection and Behavioural Analysis on Social Media Platforms

Abstract

The proliferation of social media has increased cyber-aggressive behavior behind the freedom of speech, posing societal risks from online anonymity to real-world consequences. This article systematically reviews Aggression Content Detection and Behavioral Analysis to address these risks. Content detection is vital for handling explicit aggression, and behavior analysis offers insights into underlying dynamics. The paper analyzes diverse definitions, proposes a unified cyber-aggression definition, and reviews the process of Aggression Content Detection, emphasizing dataset creation, feature extraction, and algorithm development. Additionally, examines Behavioral Analysis studies that explore influencing factors, consequences, and patterns of online aggression. We cross-examine content detection and behavioral analysis, revealing the effectiveness of integrating sociological insights into computational techniques for preventing cyber-aggression. We conclude by identifying research gaps that urge progress in the integrative domain of socio-computational aggressive behavior analysis.