TY - GEN
T1 - Learning to Explain Anger
T2 - 22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019
AU - Jabeen, Fakhra
AU - Treur, Jan
AU - Gerritsen, Charlotte
PY - 2019
Y1 - 2019
N2 - Social media is one of the widely used channels for interpersonal communication, to express feelings and thoughts through certain feedback. Blogs or ecommerce websites share plenty of such information, which serves as a valuable asset, and is also used to make predictions. However, negative feedback can ruin the essence of such platforms, causing frustration among peers. This paper presents a computational network model of a humanoid agent for getting inappropriate feed-backs, who learns to react with a level of competence over aggression due to feedback. Tuning and evaluation of the model is done by performing simulation experiments based on public tweets and mathematical analysis respectively. This model can serve as an input to detect and handle aggression.
AB - Social media is one of the widely used channels for interpersonal communication, to express feelings and thoughts through certain feedback. Blogs or ecommerce websites share plenty of such information, which serves as a valuable asset, and is also used to make predictions. However, negative feedback can ruin the essence of such platforms, causing frustration among peers. This paper presents a computational network model of a humanoid agent for getting inappropriate feed-backs, who learns to react with a level of competence over aggression due to feedback. Tuning and evaluation of the model is done by performing simulation experiments based on public tweets and mathematical analysis respectively. This model can serve as an input to detect and handle aggression.
KW - Agent based modelling
KW - Computational model
KW - Cyber-aggression
UR - http://www.scopus.com/inward/record.url?scp=85076433052&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076433052&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-33792-6_41
DO - 10.1007/978-3-030-33792-6_41
M3 - Conference contribution
AN - SCOPUS:85076433052
SN - 9783030337919
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 559
EP - 567
BT - PRIMA 2019: Principles and Practice of Multi-Agent Systems
A2 - Baldoni, Matteo
A2 - Dastani, Mehdi
A2 - Liao, Beishui
A2 - Sakurai, Yuko
A2 - Wenkstern, Rym Zalila
PB - Springer
Y2 - 28 October 2019 through 31 October 2019
ER -
