The problem of bullying and cyberbullying is growing and is a phenomenon that negatively influences our society: for this reason, it requires advanced solutions aimed at prevention. Starting from a previous project called BullyBuster which paved the way for the application of artificial intelligence (AI) in this area, exploiting interdisciplinary skills to develop algorithms capable of identifying and mitigating bullying behaviours, in this paper, we present the follow-up, called BullyBuster 2 (BB2). BB2 aims to broaden the spectrum of intervention to include adult populations, reflecting the universal nature of bullying across all age demographics. Furthermore, it updates and improves the original project’s methodologies with new psychological insights and broader AI applications, ensuring a more inclusive anti-bullying strategy. Furthermore, BB2 aims to form a large research consortium to set a new standard for interdisciplinary collaborations in preventive and response strategies against such social challenges.
Artificial intelligence tools in the ongoing fight against bullying and cyberbullying: a multidisciplinary approach / Orru, G.; Gattulli, V.; Colaiacovo, G.; Marrone, S.; Puglisi, G.; Sarcinella, L.; Terrone, G.; Curtotti, D.; Impedovo, D.; Marcialis, G. L.; Sansone, C.. - 3762:(2024), pp. 153-158. (Intervento presentato al convegno 2024 Ital-IA Intelligenza Artificiale - Thematic Workshops, Ital-IA 2024 tenutosi a ita nel 2024).
Artificial intelligence tools in the ongoing fight against bullying and cyberbullying: a multidisciplinary approach
Marrone S.;Terrone G.;Sansone C.
2024
Abstract
The problem of bullying and cyberbullying is growing and is a phenomenon that negatively influences our society: for this reason, it requires advanced solutions aimed at prevention. Starting from a previous project called BullyBuster which paved the way for the application of artificial intelligence (AI) in this area, exploiting interdisciplinary skills to develop algorithms capable of identifying and mitigating bullying behaviours, in this paper, we present the follow-up, called BullyBuster 2 (BB2). BB2 aims to broaden the spectrum of intervention to include adult populations, reflecting the universal nature of bullying across all age demographics. Furthermore, it updates and improves the original project’s methodologies with new psychological insights and broader AI applications, ensuring a more inclusive anti-bullying strategy. Furthermore, BB2 aims to form a large research consortium to set a new standard for interdisciplinary collaborations in preventive and response strategies against such social challenges.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.