T Kim - Political science research and methods, 2023 - cambridge.org
Violent hostility between ordinary partisans is undermining American democracy. Social media is blamed for rhetoric threatening violence against political opponents and implicated …
N Prause, D Ley - Deviant Behavior, 2024 - Taylor & Francis
Masturbation abstinence practices have returned to the USA in the form of semen retention communities. Followers on one of these male, anti-masturbation forums,“NoFap,” on Reddit …
P Kapil, A Ekbal, D Das - arXiv preprint arXiv:2005.14690, 2020 - arxiv.org
The phenomenal growth on the internet has helped in empowering individual's expressions, but the misuse of freedom of expression has also led to the increase of various cyber crimes …
This paper discusses the question whether it is possible to learn a generic representation that is useful for detecting various types of abusive language. The approach is inspired by …
J Fernquist, O Lindholm, L Kaati… - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
Hate speech in digital environments is becoming a societal challenge. To deal with the problem, techniques that automatically detect hate speech have been developed by social …
In this study, we trained three machine learning models to detect toxic language on social media. These models were trained using data from diverse sources to ensure that the …
T Berglind, B Pelzer, L Kaati - Proceedings of the 2019 IEEE/ACM …, 2019 - dl.acm.org
Hate speech in online environments is a severe problem for many reasons. The space for reasoning and argumentation shrinks, individuals refrain from expressing their opinions, and …
Politicians, journalists and public figures are often exposed to hate speech in various digital environments, especially in different discussion forums and in comment fields. Detecting …
Harmful communication, such as toxic language and threats directed toward individuals or groups, is a common problem on most social media platforms and online spaces. While …