We address a challenging problem of identifying main sources of hate speech on Twitter. On
one hand, we carefully annotate a large set of tweets for hate speech, and deploy advanced …

Bow-tie structures were introduced to describe the World Wide Web (WWW): in the direct
network in which the nodes are the websites and the edges are the hyperlinks connecting …

Many real-world systems can be modeled as directed networks, such as transportation,
social, collaboration or vocabulary networks. However, direction is often neglected or even …

Hate speech annotation for training machine learning models is an inherently ambiguous
and subjective task. In this paper, we adopt a perspectivist approach to data annotation …

Deep learning approaches are superior in natural language processing due to their ability to
extract informative features and patterns from languages. The two most successful neural …

Twitter data exhibits several dimensions worth exploring: a network dimension in the form of
links between the users, textual content of the tweets posted, and a temporal dimension as …

Social isolation and fragmentation represent global challenges, with the former stemming
from a lack of interaction and the latter from exclusive mobs—both rooted in communication …

We discuss the added value of various approaches for identifying similarities in social
network communities based on the content they produce. We show the limitations of …

In March of 2022, The Walt Disney Company voiced opposition to Florida's “Parental Rights
in Education”(“Don't Say Gay”) in support of LGBTQ+ stakeholders within the company and …

Practical methods for analyzing your data with graphs, revealing hidden connections and
new insights. Graphs are the natural way to represent and understand connected data. This …