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Authors: Vincenzo Gattulli 1 ; Donato Impedovo 2 ; Giuseppe Pirlo 2 and Lucia Sarcinella 2

Affiliations: 1 Digital Innovation Srl, Via Edoardo Orabona, 4 (c/o Dipartimento di Informatica), 70125 Bari, Italy ; 2 Department of Computer Science, University of Studies of Bari “Aldo Moro”, Via Edoardo Orabona, 4, 70125 Bari, Italy

Keyword(s): Cyberbullying, Artificial Intelligence, Social Network, Cyber Aggression, Twitter, Machine Learning.

Abstract: Bullying includes aggression, harassment, and discrimination. The phenomenon has widespread with the great diffusion of many social networks. Thus, the cyber aggression iteration turns into a more serious problem called Cyberbullying. In this work an automatic identification system built up on the most performing set of techniques available in literature is presented. Textual comments of various Italian Twitter posts have been processed to identify the aggressive phenomenon. The challenge has been also identifying aggressive profiles who repeat their malicious work on social networks. Two different experiments have been performed with the aim of the detection of Cyber Aggression and Cyberbullying. The best results were obtained by the Random Forest classifier, trained on an ad-hoc Dataset that contemplates a series of comments extracted from Twitter and tagged manually. The system currently presented is an excellent tool to counter the phenomenon of Cyberbullying, but there are certa inly many improvements to be made to improve the performance of the system. (More)

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Paper citation in several formats:
Gattulli, V.; Impedovo, D.; Pirlo, G. and Sarcinella, L. (2022). Cyber Aggression and Cyberbullying Identification on Social Networks. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-549-4; ISSN 2184-4313, SciTePress, pages 644-651. DOI: 10.5220/0010877600003122

@conference{icpram22,
author={Vincenzo Gattulli. and Donato Impedovo. and Giuseppe Pirlo. and Lucia Sarcinella.},
title={Cyber Aggression and Cyberbullying Identification on Social Networks},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2022},
pages={644-651},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010877600003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Cyber Aggression and Cyberbullying Identification on Social Networks
SN - 978-989-758-549-4
IS - 2184-4313
AU - Gattulli, V.
AU - Impedovo, D.
AU - Pirlo, G.
AU - Sarcinella, L.
PY - 2022
SP - 644
EP - 651
DO - 10.5220/0010877600003122
PB - SciTePress