This paper surveys and presents recent academic work carried out within the field of stance
classification and fake news detection. Echo chambers and the model organism problem are …

In recent years, the Natural Language Processing community have been moving from
uncontextualized word embeddings towards contextualized word embeddings. Among …

Political tensions have grown throughout Europe since the beginning of the new century.
The consecutive crises led to the rise of different social movements in several countries, in …

The news platform has moved from traditional newspapers to online communities in the
technologically advanced area of Artificial Intelligence. Because Twitter and Facebook allow …

This study presents a novel evidential reasoning (ER) prediction model called MAKER-
RIMER to examine how different features embedded in Twitter posts (tweets) can predict the …

The mediatisation model in politics assumes that media conveys political messages
between parties and citizenship, with the risk of promoting issues that frame the electoral …

This paper describes the system we developed for IberEval 2017 on Classification Of
Spanish Election Tweets (COSET) task. Our approach is based on a weighted average …

This paper describes the International Institute of Information Technology of Hyderabad's
submission to the task Classification Of Spanish Election Tweets (COSET) as a part of …

El trabajo realizado se enmarca en el área del procesamiento del lenguaje natural y se
centra, concretamente, en problemas de clasificación de texto como sentiment analysis y …

This paper describes the participation of ELiRF-UPV team at Classification Of Spanish
Election Tweets (COSET) task. We tested several approaches based on different classifiers …