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    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

    Autor: 
    Martinez Monterrubio, Sergio Mauricio (1)
    ;
    Noain-Sánchez, Amaya (1)
    ;
    Verdú, Elena (1)
    ;
    González-Crespo, Rubén (1)
    Fecha: 
    2021
    Palabra clave: 
    CBR; coronavirus; COVID-19; fake news detection; OSINT; Scopus; JCR
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/13171
    DOI: 
    https://doi.org/10.1016/j.ins.2021.05.074
    Dirección web: 
    https://www.sciencedirect.com/science/article/pii/S0020025521005673?via%3Dihub
    Open Access
    Resumen:
    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.
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