Literature DB >> 35721809

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.

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.
© 2021 Elsevier Inc. All rights reserved.

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


  6 in total

1.  Protecting elections from social media manipulation.

Authors:  Sinan Aral; Dean Eckles
Journal:  Science       Date:  2019-08-30       Impact factor: 47.728

2.  Anatomy of news consumption on Facebook.

Authors:  Ana Lucía Schmidt; Fabiana Zollo; Michela Del Vicario; Alessandro Bessi; Antonio Scala; Guido Caldarelli; H Eugene Stanley; Walter Quattrociocchi
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-06       Impact factor: 11.205

3.  Fake news on Twitter during the 2016 U.S. presidential election.

Authors:  Nir Grinberg; Kenneth Joseph; Lisa Friedland; Briony Swire-Thompson; David Lazer
Journal:  Science       Date:  2019-01-25       Impact factor: 47.728

4.  The science of fake news.

Authors:  David M J Lazer; Matthew A Baum; Yochai Benkler; Adam J Berinsky; Kelly M Greenhill; Filippo Menczer; Miriam J Metzger; Brendan Nyhan; Gordon Pennycook; David Rothschild; Michael Schudson; Steven A Sloman; Cass R Sunstein; Emily A Thorson; Duncan J Watts; Jonathan L Zittrain
Journal:  Science       Date:  2018-03-08       Impact factor: 47.728

5.  The spread of true and false news online.

Authors:  Soroush Vosoughi; Deb Roy; Sinan Aral
Journal:  Science       Date:  2018-03-09       Impact factor: 47.728

6.  Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections.

Authors:  Meenu Gupta; Rachna Jain; Soham Taneja; Gopal Chaudhary; Manju Khari; Elena Verdú
Journal:  Appl Soft Comput       Date:  2020-12-25       Impact factor: 6.725

  6 in total

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