The work presented in this paper focuses on the use of data augmentation techniques
applied in the domain of the detection of antisocial behavior. Data augmentation is a …

One of the biggest problems nowadays in the online environment is the spreading of
misinformation. Especially during a global pandemic, the most popular topics of fake news …

Social media platforms, particularly Twitter, have become vital sources for understanding
public sentiment due to the rapid, large-scale generation of user opinions. Sentiment …

Nowadays the world of modern technologies brings new ways of communication and
interaction between people. Online communication becomes faster and more convenient …

The successful completion of the hate speech detection task hinges upon the availability of
rich and variable labeled data, which is hard to obtain. In this work, we present a new …

Cyberbullying, a critical concern for digital safety, necessitates effective linguistic analysis
tools that can navigate the complexities of language use in online spaces. To tackle this …

This paper discusses the necessity of fake news detection and how selected features can
show differences between trustworthy and fake news. To demonstrate this concept, we first …