| Literature DB >> 35721809 |
Sergio Mauricio Martinez Monterrubio1, Amaya Noain-Sánchez1, Elena Verdú Pérez1, Rubén González Crespo1.
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.Entities:
Keywords: CBR; COVID-19; Coronavirus; Fake news detection; OSINT
Year: 2021 PMID: 35721809 PMCID: PMC9188818 DOI: 10.1016/j.ins.2021.05.074
Source DB: PubMed Journal: Inf Sci (N Y) ISSN: 0020-0255 Impact factor: 8.233