Abstract
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.
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Jabeen, F., Treur, J., Gerritsen, C. (2019). Learning to Explain Anger: An Adaptive Humanoid-Agent for Cyber-Aggression. In: Baldoni, M., Dastani, M., Liao, B., Sakurai, Y., Zalila Wenkstern, R. (eds) PRIMA 2019: Principles and Practice of Multi-Agent Systems. PRIMA 2019. Lecture Notes in Computer Science(), vol 11873. Springer, Cham. https://doi.org/10.1007/978-3-030-33792-6_41
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DOI: https://doi.org/10.1007/978-3-030-33792-6_41
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