@inproceedings{basile-etal-2024-llamantino,
title = "{LL}a{MA}ntino against Cyber Intimate Partner Violence",
author = "Basile, Pierpaolo and
Degemmis, Marco and
Polignano, Marco and
Semeraro, Giovanni and
Siciliani, Lucia and
Tamburrano, Vincenzo and
Battista, Fabiana and
Scardigno, Rosa",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.7/",
pages = "52--58",
ISBN = "979-12-210-7060-6",
abstract = "Intimate Partner Violence refers to the abusive behaviours perpetrated on their own partner. Unfortunately this is a social issue that has witnessed an increase over time, particularly after Covid-19. IPV be circumscribed into two broad categories known as Intimate Partner Violence (IPV) and Cyber Intimate Partner Violence (C-IPV). Social Media and technologies can exacerbate these types of behaviors but some {\textquotedblleft}digital footprints{\textquotedblright}, such as textual conversations, can be exploited by Artificial Intelligence models to detect and, in turn, prevent them. With this aim in mind, this paper describes a scenario in which the Italian Language Model family LLAmAntino can be exploited to explain the presence of toxicity elements in conversations related to teenage relationships and then educate the interlocutor to recognize these elements in the messages received."
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<abstract>Intimate Partner Violence refers to the abusive behaviours perpetrated on their own partner. Unfortunately this is a social issue that has witnessed an increase over time, particularly after Covid-19. IPV be circumscribed into two broad categories known as Intimate Partner Violence (IPV) and Cyber Intimate Partner Violence (C-IPV). Social Media and technologies can exacerbate these types of behaviors but some “digital footprints”, such as textual conversations, can be exploited by Artificial Intelligence models to detect and, in turn, prevent them. With this aim in mind, this paper describes a scenario in which the Italian Language Model family LLAmAntino can be exploited to explain the presence of toxicity elements in conversations related to teenage relationships and then educate the interlocutor to recognize these elements in the messages received.</abstract>
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%0 Conference Proceedings
%T LLaMAntino against Cyber Intimate Partner Violence
%A Basile, Pierpaolo
%A Degemmis, Marco
%A Polignano, Marco
%A Semeraro, Giovanni
%A Siciliani, Lucia
%A Tamburrano, Vincenzo
%A Battista, Fabiana
%A Scardigno, Rosa
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F basile-etal-2024-llamantino
%X Intimate Partner Violence refers to the abusive behaviours perpetrated on their own partner. Unfortunately this is a social issue that has witnessed an increase over time, particularly after Covid-19. IPV be circumscribed into two broad categories known as Intimate Partner Violence (IPV) and Cyber Intimate Partner Violence (C-IPV). Social Media and technologies can exacerbate these types of behaviors but some “digital footprints”, such as textual conversations, can be exploited by Artificial Intelligence models to detect and, in turn, prevent them. With this aim in mind, this paper describes a scenario in which the Italian Language Model family LLAmAntino can be exploited to explain the presence of toxicity elements in conversations related to teenage relationships and then educate the interlocutor to recognize these elements in the messages received.
%U https://aclanthology.org/2024.clicit-1.7/
%P 52-58
Markdown (Informal)
[LLaMAntino against Cyber Intimate Partner Violence](https://aclanthology.org/2024.clicit-1.7/) (Basile et al., CLiC-it 2024)
ACL
- Pierpaolo Basile, Marco Degemmis, Marco Polignano, Giovanni Semeraro, Lucia Siciliani, Vincenzo Tamburrano, Fabiana Battista, and Rosa Scardigno. 2024. LLaMAntino against Cyber Intimate Partner Violence. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 52–58, Pisa, Italy. CEUR Workshop Proceedings.