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 …

Hate speech against vulnerable groups is acknowledged as a serious problem for
integration and respect for the social diversity existing within the territory of the European …

With the growth that social networks have experienced in recent years, it is entirely
impossible to moderate content manually. Thanks to the different existing techniques in …

Social media platforms have become a substratum for people to enunciate their opinions
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …

This research was conducted to increase accuracy in classifying sentences containing hate
speech and non-hate speech on Twitter. This is important to do because, as technology …

Abstract Speech Emotion Recognition (SER) is an important part of Affective Computing and
emotionally aware Human–Computer Interaction. Emotional expression may vary …

With the rapid growth in the number of users on social networking sites (SNS), harmful
content has also been fueled enormously over time. The purpose of harmful content is …

This article focuses on the problem of detecting disinformation about COVID-19 in online
discussions. As the Internet expands, so does the amount of content on it. In addition to …

Hate speech spreading online is a matter of growing concern since social media allows for
its rapid, uncontrolled, and massive dissemination. For this reason, several researchers are …

Online hate speech against migrants and refugees poses a grave challenge for coexistence
and democracy. However, it also offers an opportunity to measure social acceptance …