Automatic elicitation of semantic information from natural language texts is an important
research problem with many practical application areas. Especially after the recent …

Post-truth is a term that describes a distorting phenomenon that aims to manipulate public
opinion and behavior. One of its key engines is the spread of Fake News. Nowadays most …

Which topics spark the most heated debates on social media? Identifying those topics is not
only interesting from a societal point of view but also allows the filtering and aggregation of …

Featured Application The framework proposed in this paper could be used to detect echo
chambers in a standard way across multiple online social networks (ie, leveraging features …

In this paper we propose a computational approach that applies data mining techniques to
analyze the citizen participation recorded in an online digital platform. Differently to previous …

Controversial posts are those that split the preferences of a community, receiving both
significant positive and significant negative feedback. Our inclusion of the word" community" …

Expressed opinions on social media frequently cause a controversy. Controversial content
refers to content that attracts different opinions and interrogations, implying interaction …

Wikipedia is one of the most visited websites in the world and is also a frequent subject of
scientific research. However, the analytical possibilities of Wikipedia information have not …

Despite recent advances in deep learning-based language modelling, many natural
language processing (NLP) tasks in the financial domain remain challenging due to the …

Identifying controversial posts on social media is a fundamental task for mining public
sentiment, assessing the influence of events, and alleviating the polarized views. However …