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5 papers · 1 filter
Unraveling Emotions with Pre-Trained Models
Alejandro Pajón-Sanmartín, Francisco De Arriba-Pérez, Silvia García-Méndez +3
Transformer models have significantly advanced the field of emotion recognition. However, there are still open challenges when exploring open-ended queries for Large Language Model…
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
Silvia García Méndez, Fátima Leal, Benedita Malheiro +4
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge…
Interpretable classification of wiki-review streams
Silvia García Méndez, Fátima Leal, Benedita Malheiro +1
Wiki articles are created and maintained by a crowd of editors, producing a continuous stream of reviews. Reviews can take the form of additions, reverts, or both. This crowdsourci…
Exposing and Explaining Fake News On-the-Fly
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal +2
Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data…
A Multi-Policy Framework for Deep Learning-Based Fake News Detection
João Vitorino, Tiago Dias, Tiago Fonseca +2
Connectivity plays an ever-increasing role in modern society, with people all around the world having easy access to rapidly disseminated information. However, a more interconnecte…