The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …

The enormous growth of social media provides a platform for displaying harmful, offensive
online behaviour, which keeps increasing with time. The popularity of smartphones and the …

Offensive language detection is increasingly crucial for maintaining a civilized social media
platform and deploying pre-trained language models. However, this task in Chinese is still …

The performance of hate speech detection models relies on the datasets on which the
models are trained. Existing datasets are mostly prepared with a limited number of instances …

Hate speech in social media is a growing phenomenon, and detecting such toxic content
has recently gained significant traction in the research community. Existing studies have …

Social media have become a very important news platform, both for the presentation and
consumption of news by social media users. News is therefore eagerly shared by news …

Although social media platforms are a prominent arena for users to engage in interpersonal
discussions and express opinions, the facade and anonymity offered by social media may …

We present an ensemble approach for the detection of sarcasm in Reddit and Twitter
responses in the context of The Second Workshop on Figurative Language Processing held …

In the field of sentiment analysis, several studies have highlighted that a single sentence
may express multiple, sometimes contrasting, sentiments and emotions, each with its own …

The explosive growth of social media has fueled an extensive increase in online freedom of
speech. The worldwide platform of human voice creates possibilities to assail other users …