Caracterización inteligente de la veracidad de información asociada a la COVID-19 (CIVIC)

Funding company

Description

The goal of this project is to combine the knowledge of experts in communication and journalism with experts in Artificial Intelligence techniques in order to implement a tool for the general public aimed at characterising automatically information related to COVID-19.

Scope: Industrial

Funding support: 98325 €

Term

Start date

October 10, 2020

End Date

October 10, 2022

Research areas

Social

Team

Principal investigator

Dr. Alejandro Martín

Members

Dr. David Camacho
Dr. Javier Huertas
Álvaro Huertas García
Guillermo Villar
Dr. Victor Rodriguez-Fernandez
Dra. Gema Bello Orgaz
Dr. Ángel Panizo
Dr. Javier Torregrosa

Partners

Universidad Politécnica de Madrid

Related publications

Javier Huertas-Tato, Alejandro Martín, David Camacho: SILT: Efficient transformer training for inter-lingual inference. In: Expert Systems with Applications, vol. 200, pp. 116923, 2022, ISSN: 0957-4174.

Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho: FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference. In: arXiv:2110.14532 [cs], 2022, (arXiv: 2110.14532).

Álvaro Huertas-García, Javier Huertas-Tato, Alejandro Martín, David Camacho: Countering Misinformation Through Semantic-Aware Multilingual Models. In: Yin, Hujun; Camacho, David; Tino, Peter; Allmendinger, Richard; Tallón-Ballesteros, Antonio J.; Tang, Ke; Cho, Sung-Bae; Novais, Paulo; Nascimento, Susana (Ed.): Intelligent Data Engineering and Automated Learning – IDEAL 2021, pp. 312–323, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-91608-4.

Related resources

Dataset 100 hoaxes

Type: Dataset

Datafiles:

Dataset tweets and hoaxes COVID-19 - All IDs

1 file(s) 5.57 MB

Download

Dataset tweets and hoaxes COVID-19 - IDs entailment

1 file(s) 385.84 KB

Download

Dataset tweets and hoaxes COVID-19 - IDs contradiction

1 file(s) 516.78 KB

Download

Dataset tweets and hoaxes COVID-19 – 100 hoaxes

1 file(s) 19.72 KB

Download

Dataset with COVID-19 misinformation in English

Type: Dataset

Datafiles:

Dataset with COVID-19 misinformation in English

1 file(s) 186.78 KB

Download

Dataset NLI19-SP (built with FacTeR-Check)

Type: Dataset

Datafiles:

NLI19-SP dataset (FacTeR-Check)

1 file(s) 54.78 MB

Download

Related job offers

Project: CIVIC: Intelligent characterization of the veracity of the information associated with COVID-19

February 12, 2022 - February 27, 2022

Description:

Postgraduate researcher. Temporary contract for a specific project or service charged to Research Projects

Project: CIVIC: Intelligent characterization of the veracity of the information associated with COVID-19

December 21, 2020 - January 1, 2021

Description:

Junior PhD. Temporary contract for a specific project or service charged to Research Projects