Adolescents launch a movement for an internet free of cyberbullying and hate speech (UNICEF)
The United Nations Children’s Fund (UNICEF) and the Foundation Telekom for Macedonia announced a cooperation on International Safer Internet Day…
Averting and Countering Online Hatred.
The United Nations Children’s Fund (UNICEF) and the Foundation Telekom for Macedonia announced a cooperation on International Safer Internet Day…
In recent years, the topic of identifying abusive language in user-generated internet content has gained significant attention. Blacklists and regular…
X, Instagram, TikTok, YouTube, Reddit, LinkedIn, Zoom, Facebook, Twitch, Discord, and Tinder. Real life is digital life. Furthermore, not everyone…
Online social networks and microblogging websites have revolutionized communication, but have also seen an increase in online hate speech, which…
Only when the applied criteria match users’ views of hate speech can content moderation be successful. We employed a multi-methods…
Natural Language Gen (NLG) provides scalable ways to counter the rise in hate speech online without limiting free expression. Traditional…
Effective detection is necessary because social media makes it possible for nasty information to spread across several modalities, including text,…
The identification of hate speech is an important issue, particularly on social media, where damaging information may spread rapidly. To…
According to recent eSafety study, more Australian people from a variety of backgrounds are still choosing to accept online abuse…
Online hatred is more likely to target adults who identify as sexually varied, Aboriginal and/or Torres Strait Islander, disabled, and/or…
The scientific study of hate speech from a computer science viewpoint has garnered prominence in recent years. Hate speech can…
Four distinct deep learning classifiers (CNN, BiLSTM, CNN-BiLSTM, and BiGRU) and three feature extraction methods (Keras word embedding, word2vec, and…