Learning to Explain Anger: An Adaptive Humanoid-Agent for Cyber-Aggression

摘要

Social media is one of the widely used channels for interpersonal communication, and to give personal feedback. However, negative feedback can affect esteem and mental health of a person. This paper presents a computational network model of a humanoid agent for getting inappropriate feedback, who learns to react with a level of competence on aggression due to feedback. This model can serve as an input to detect and handle cyber-aggression.