We present the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a
track on offensive language identification for Dravidian languages in Code-Mixed Text in this …

During the recent years, online social media have expanded in volume and coverage and
have become a significant source of information for different groups of people. The …

Sánchez-Sánchez, AM, Ruiz-Muñoz, D. & Sánchez-Sánchez, FJ (2023). Research trends in
the control of hate speech on social media for the 2016–2022 time frame. Cuadernos …

We present the results of HASOC-Dravidian-CodeMix shared task 1 held at FIRE 2021, a
track on offensive language identification for Dravidian languages in Code-Mixed Text in this …

In recent years, there has been a persistent focus on developing systems that can
automatically identify the hate speech content circulating on diverse social media platforms …

The growth in the number of social media users has resulted in a corresponding rise in the
spread of hate speech on these platforms, leading to a growing, but little studied, problem …

Taking a neo-Kohlbergian approach, we explore the moral reasoning of 486 young Italian
users of social network sites exposed to moral dilemmas concerning online hate speech …

Detecting hate speech in code-mixed language is vital for a secure online space, curbing
harmful content, promoting inclusive communication, and safeguarding users from …

Abstract Homophobia and Transphobia Detection is the task of identifying homophobia,
transphobia, and nonanti-LGBT+ content from the given corpus. Homophobia and …

The amount of digital material that is disseminated through various social media platforms
has significantly increased in recent years. Online networks have gained popularity in recent …