[PDF][PDF] Machine learning methods for toxic comment classification: a systematic review

D Androcec - Acta Universitatis Sapientiae, Informatica, 2020 - intapi.sciendo.com
Nowadays users leave numerous comments on different social networks, news portals, and
forums. Some of the comments are toxic or abusive. Due to numbers of comments, it is …

SoK: Content moderation in social media, from guidelines to enforcement, and research to practice

M Singhal, C Ling, P Paudel, P Thota… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Social media platforms have been establishing content moderation guidelines and
employing various moderation policies to counter hate speech and misinformation. The goal …

Exploring bystander contagion in cyberbully detection: a systematic review

HS Alfurayj, BF Hurtado, SL Lutfi, TA Rana - Journal of Ambient …, 2024 - Springer
Since the advent of mass access to the Internet, aggressive behaviors such as cyberbullying
have become widespread on social networking sites. An aggressive online environment can …

Develo** a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube

A Obadimu, T Khaund, E Mead, T Marcoux… - Information Processing …, 2021 - Elsevier
As the novel coronavirus (COVID-19) continues to ravage the world at an unprecedented
rate, formal recommendations from medical experts are becoming muffled by the avalanche …

Detox: A comprehensive dataset for German offensive language and conversation analysis

C Demus, J Pitz, M Schütz, N Probol… - Proceedings of the …, 2022 - aclanthology.org
In this work, we present a new publicly available offensive language dataset of 10.278
German social media comments collected in the first half of 2021 that were annotated by in …

[HTML][HTML] The illusion of data validity: Why numbers about people are likely wrong

BJ Jansen, J Salminen, S Jung, H Almerekhi - Data and Information …, 2022 - Elsevier
This reflection article addresses a difficulty faced by scholars and practitioners working with
numbers about people, which is that those who study people want numerical data about …

The Unsung Heroes of Facebook Groups Moderation: A Case Study of Moderation Practices and Tools

T Kuo, A Hernani, J Grossklags - Proceedings of the ACM on Human …, 2023 - dl.acm.org
Volunteer moderators have the power to shape society through their influence on online
discourse. However, the growing scale of online interactions increasingly presents …

Predicting anti-Asian hateful users on Twitter during COVID-19

J An, H Kwak, CS Lee, B Jun, YY Ahn - arxiv preprint arxiv:2109.07296, 2021 - arxiv.org
We investigate predictors of anti-Asian hate among Twitter users throughout COVID-19. With
the rise of xenophobia and polarization that has accompanied widespread social media …

[HTML][HTML] PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits

H Almerekhi, H Kwak, J Salminen, BJ Jansen - Data and Information …, 2022 - Elsevier
Promoting healthy discourse on community-based online platforms like Reddit can be
challenging, especially when conversations show ominous signs of toxicity. Therefore, in …

Understanding toxicity triggers on Reddit in the context of Singapore

YY Chong, H Kwak - Proceedings of the International AAAI Conference …, 2022 - ojs.aaai.org
While the contagious nature of online toxicity sparked increasing interest in its early
detection and prevention, most of the literature focuses on the Western world. In this work …