A literature review of textual hate speech detection methods and datasets
F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …
communities. Hate speech is complex and multifaceted harmful or offensive content …
Hate speech detection in the bengali language: a comprehensive survey
The detection of hate speech (HS) in online platforms has become extremely important for
maintaining a safe and inclusive environment. While significant progress has been made in …
maintaining a safe and inclusive environment. While significant progress has been made in …
A multichannel deep learning framework for cyberbullying detection on social media
Online social networks (OSNs) play an integral role in facilitating social interaction; however,
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
SoK: Content moderation in social media, from guidelines to enforcement, and research to practice
Social media platforms have been establishing content moderation guidelines and
employing various moderation policies to counter hate speech and misinformation. The goal …
employing various moderation policies to counter hate speech and misinformation. The goal …
Fighting hate speech from bilingual hinglish speaker's perspective, a transformer-and translation-based approach.
Many people have begun to use social media platforms due to the increased use of the
Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks …
Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks …
Hate or non-hate: Translation based hate speech identification in code-mixed hinglish data set
Hate speech identification in social media has emerged as a highly debated research topic
in computational linguistics. Understanding linguistic phenomena in low-resource …
in computational linguistics. Understanding linguistic phenomena in low-resource …
G-bert: an efficient method for identifying hate speech in Bengali texts on social media
The rapid increase in Internet users has increased online concerns such as hate speech,
abusive texts, and harassment. In Bangladesh, hate text in Bengali is frequently used on …
abusive texts, and harassment. In Bangladesh, hate text in Bengali is frequently used on …
Hate speech detection in social media: Techniques, recent trends, and future challenges
Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …
interest from researchers in hate speech detection, leading to an increase in related studies …
Fingerprinting technique for youtube videos identification in network traffic
Recently, many video streaming services, such as YouTube, Twitch, and Facebook, have
contributed to video streaming traffic, leading to the possibility of streaming unwanted and …
contributed to video streaming traffic, leading to the possibility of streaming unwanted and …
Uncovering cybercrimes in social media through natural language processing
J Ramírez Sánchez, A Campo-Archbold… - …, 2021 - Wiley Online Library
Among the myriad of applications of natural language processing (NLP), assisting law
enforcement agencies (LEA) in detecting and preventing cybercrimes is one of the most …
enforcement agencies (LEA) in detecting and preventing cybercrimes is one of the most …