Toxic language in online incel communities

B Pelzer, L Kaati, K Cohen, J Fernquist - SN Social Sciences, 2021 - Springer
The internet-based incel subculture has evolved over the past decade on a number of
different platforms. The subculture is known to be toxic and has become associated with …

Violent political rhetoric on Twitter

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 …

Violence on Reddit support forums unique to r/NoFap

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 …

Investigating deep learning approaches for hate speech detection in social media

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 …

Learning representations for detecting abusive language

M Sahlgren, T Isbister, F Olsson - Proceedings of the 2nd …, 2018 - aclanthology.org
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 …

A study on the feasibility to detect hate speech in Swedish

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 …

A machine learning approach to identify toxic language in the online space

L Kaati, A Shrestha, N Akrami - 2022 IEEE/ACM International …, 2022 - ieeexplore.ieee.org
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 …

Levels of hate in online environments

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 …

Directed digital hate

B Pelzer, L Kaati, N Akrami - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
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: Detection of Toxic Language and Threats on Swedish

A Shrestha, L Kaati, N Akrami, K Linden… - Proceedings of the …, 2023 - dl.acm.org
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 …