FALCoN: Detecting and classifying abusive language in social networks using context features and unlabeled data

• Main Author: Tuarob S.
• Other Authors: Mahidol University
• Format: Article
• Published: 2023
• Subjects: Decision Sciences
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/81322

Social networks have grown into a widespread form of communication that allows a large number of users to participate in conversations and consume information at any time. The casual nature of social media allows for nonstandard terminology, some of which may be considered rude and derogatory. As a...