Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …

Most scholars working on Russia's use of strategic narratives recognize the importance of
the Russian state. Nevertheless, the authors argue that much of the attention on strategic …

The past decade has seen a substantial rise in the amount of mis-and disinformation online,
from targeted disinformation campaigns to influence politics, to the unintentional spreading …

In this paper, we describe our participation in the TREC Health Misinformation Track 2020.
We submitted 11 runs to the Total Recall Task and 13 runs to the Ad Hoc task. Our approach …

The rapid dissemination of misinformation through social media increased the importance of
automated fact-checking. Furthermore, studies on what deep neural models pay attention to …

This paper develops a framework for sentiment analysis and clustering of Russian and
Finnish-language Twitter posts (tweets) that enables the comparison of different language …

In the process of implementing this project, namely the project on determining the author's
age and gender based on his text, a model was developed that determines these biological …

Fake news is a widespread menace that has instigated social unrest globally. Traditionally,
AI models for fake news detection are based on linguistic clues, social media analysis …

La caída de la URSS precipitó un cambio progresivo en las relaciones entre los países que
habían formado parte del aparato estatal del gigante euroasiático. La evolución de este …

Recent digital technological developments facilitate the translation, empowerment, and
extension of expressing individualand collective ideas, beliefs, and attitudes towards …