Authors: Jose A. Diaz-Garcia, Joao Paulo Carvalho
Abstract: The success of social media platforms has facilitated the emergence of
various forms of online abuse within digital communities. This abuse manifests
in multiple ways, including hate speech, cyberbullying, emotional abuse,
grooming, and sexting. In this paper, we present a comprehensive analysis of
the different forms of abuse prevalent in social media, with a particular focus
on how emerging technologies, such as Language Models (LMs) and Large Language
Models (LLMs), are reshaping both the detection and generation of abusive
content within these networks. We delve into the mechanisms through which
social media abuse is perpetuated, exploring the psychological and social
impact. Additionally, we examine the dual role of advanced language
models-highlighting their potential to enhance automated detection systems for
abusive behavior while also acknowledging their capacity to generate harmful
content. This paper aims to contribute to the ongoing discourse on online
safety and ethics, offering insights into the evolving landscape of cyberabuse
and the technological innovations that both mitigate and exacerbate it.
Source: http://arxiv.org/abs/2501.05443v1
