Automatic cyberbullying detection is a task of growing interest, particularly in the Natural
Language Processing and Machine Learning communities. Not only is it challenging, but it …

The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

In the modern era, the cyberbullying (CB) is an intentional and aggressive action of an
individual or a group against a victim via electronic media. The consequence of CB is …

The increasing usage of social media networks has raised concerns about the growing
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …

Detecting cyberbullying from memes is highly challenging, because of the presence of the
implicit affective content which is also often sarcastic, and multi-modality (image+ text). The …

Cyber-aggression, cyberbullying, and cyber-grooming are distinctive and similar
phenomena that represent the objectionable content appearing on online social media …

Background The growth of social networking has created a paradigm in which many forms of
personal communication are being replaced by internet communication technologies, such …

In this paper we introduce HEMOS (Humor-EMOji-Slang-based) system for fine-grained
sentiment classification for the Chinese language using deep learning approach. We …

Social media platforms have become the primary means of communication and information
sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also …

Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …