There has been surge in the usage of Internet as well as social media platforms which has
led to rise in online hate speech targeted on individual or group. In the recent years, hate …

Abstract Information and communication technologies hold immense potential to enhance
our lives and societal well-being. However, digital spaces have also emerged as a fertile …

The rise of social media has enabled individuals with biased perspectives to spread hate
speech, directing it toward individuals based on characteristics such as race, gender …

Over the past decade, increased use of social media has led to an increase in hate content.
To address this issue new solutions must be implemented to filter out this kind of …

Past research has identified a rich set of handcrafted linguistic features that can potentially
assist various tasks. However, their extensive number makes it difficult to effectively select …

Hate speech detection in online platforms has been widely studied inthe past. Most of these
works were conducted in English and afew rich-resource languages. Recent approaches …

Feature Engineering consists in the application of domain knowledge to select and
transform relevant features to build efficient machine learning models. In the Natural …

Over the last few decades, the expansion of technology and the internet has led to the
number of users proliferating on social media, with a simultaneous increase in hate speech …

While online hate speech is a perennial problem of modern times, there is still a lack of
academic research on the topic. This could be attributed to the fact that hate speech does …

With the rapid increase of users over social media, cyberbullying, and hate speech problems
have arisen over the past years. Automatic hate speech detection (HSD) from text is an …