# _Applied Sciences_
## 1 Introduction
Source \"OkDiario\" ([[https://okdiario.com/espana/estas-son-images-reacciones-vacuna-astrazeneca-algunos-functionarios-prisones-6976588](https://okdiario.com/espana/estas-son-images-reacciones-vacuna-astrazeneca-algunos-functionarios-prisones-6976588)]([https://okdiario.com/espana/estas-son-images-reacciones-vacuna-astrazeneca-algunos-functionarios-prisones-6976588](https://okdiario.com/espana/estas-son-images-reacciones-vacuna-astrazeneca-algunos-functionarios-prisones-6976588)), accessed on 22 March 2021): _\"Various funcionarios han suffido reacciones adversas tras la inoculacion del farmac que en algunos caso han precisado de atencion hospitalaria por lo que piden un protocolo de seguimiento para los vacuandos...Hasta ahoral metos tres politicas niconales, un guardia civil y un polica de la Erzunitza han desarrrollado tromos de gravedad tras laberse vacuado... \"_ (\"Several government employees have suffered adverse reactions after being inoculated with the vaccine, and in some cases they have required hospital care, so they are calling for a follow-up protocol for those vaccinated...So far at least three national police officers, a civil guard and an Ertzunitza police officer have developed serious thromboses after having been vaccinated...\")
2. Source \"El Pais\" ([[https://elpais.com/opinion/2021-03-19/confianza-en-las-vacunas.html](https://elpais.com/opinion/2021-03-19/confianza-en-las-vacunas.html)]([https://elpais.com/opinion/2021-03-19/confianza-en-las-vacunas.html](https://elpais.com/opinion/2021-03-19/confianza-en-las-vacunas.html)), accessed on 22 March 2021): _\"...La Agencia Europea del Medicamento la nafilcado que la vacuua de AstraZeneca es segura y eficaz y que los beneficios que aporta superan claramente a los posibles risesos. Despeja asl las dudas surgidas ante la notificacion de una treintena de casos de thrombosis...\"_ (\"...The European Medicines Agency has confirmed that AstraZeneca's vaccine is safe and effective and that the benefits clearly outweigh the possible risks. This clears up the doubts that arose after the notification of some thirty cases of thrombosis...\")  
These two pieces of information concerning vaccination are contradictory, as while the first states that episodes of thrombosis have occurred after inoculation, the second rules out that a relationship exists between the cases of thrombosis that have occurred and the vaccine. This type of disinformation caused by the contradiction of information between the traditional media is potentially dangerous, as it may cause a public health problem generated by a reluctance to take up the offer of vaccination against COVID-19. Therefore, there is a need to alert users of these contradictions. Most of the resources and systems for contradiction detection are developed in English [6; 7; 8; 9]. However, despite the fact that Spanish is one of the most widely spoken languages in the world, there are no powerful resources to carry out the task of detecting contradictions from the direct perspective of this language. Currently, XNLI [10] is a cross-lingual dataset, which is divided into three partitions: training, developed, and test. The training set is developed in the English language, and the development and test sets are in 15 different languages. The XNLI has been used to create contradiction detection systems for training in English and predicting in other languages, obtaining good performance results. Each example in XNLI is classified as Contradiction, Entailment, or Neutral. However, to deal with contradictions it is important to consider their wide range and large variety of features [3]. Therefore, the purpose of this paper is to demonstrate that differentiating between the different types of contradictions can help to perform a more specific treatment of them, thereby enhancing capability to detect them in a broader way without having many previous examples of them.