Coronavirus fake news detection via MedOSINT check in health care official bulletins with CBR explanation: The way to find the real information source through OSINT, the verifier tool for official journals
dc.contributor.author | Noain Sánchez, Amaya | |
dc.contributor.author | Martinez Monterrubio, Sergio Mauricio | |
dc.contributor.author | Verdú Pérez, Elena | |
dc.contributor.author | González Crespo, Rubén | |
dc.date.accessioned | 2024-01-23T07:57:04Z | |
dc.date.available | 2024-01-23T07:57:04Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Abstract This research aims to design and prototype a tool to perform intelligence on open sources (OSINT), specifically on official medical bulletins for the detection of false news. MedOSINT is a modular tool that can be adapted to process information from different medical official bulletins. From the processed information, intelligence is generated for decision making, validating the veracity of the COVID-19 news. The tool is compared with other options and it is verified that MedOSINT outperforms the current options when analyzing official bulletins. Moreover, it is complemented with an expert explanation provided by a Case-Based Reasoning (CBR) system. This is proved to be an ideal complement because it can find explanatory cases for an explanation-by-example justification. | es |
dc.identifier.doi | 10.1016/j.ins.2021.05.074 | es |
dc.identifier.issn | 0020-0255 | |
dc.identifier.uri | https://hdl.handle.net/10115/28676 | |
dc.language.iso | eng | es |
dc.publisher | Information Sciences | es |
dc.rights.accessRights | info:eu-repo/semantics/closedAccess | es |
dc.subject | disinformation, fake news, Fake news detection | es |
dc.title | Coronavirus fake news detection via MedOSINT check in health care official bulletins with CBR explanation: The way to find the real information source through OSINT, the verifier tool for official journals | es |
dc.type | info:eu-repo/semantics/article | es |
Archivos
Bloque original
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- 1-s2.0-S0020025521005673-main.pdf
- Tamaño:
- 5.59 MB
- Formato:
- Adobe Portable Document Format
- Descripción: