Evidence map›Paper›PMID 35721809›Full record

ArticleInformation sciences2021

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 Monterrubio, Amaya Noain-Sánchez, Elena Verdú Pérez, Rubén González Crespo

Abstract readNews
In one paragraph

Article in Information sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Health Misinformation Detection: Approaches, Challenges and Opportunities.Inquiry : a journal of medical care organization, provision and financing
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sergio Mauricio Martinez MonterrubioUniversidad Internacional de La Rioja - UNIR c/ Avenida de la Paz, 137, 26006 Logroño, Spain.
Amaya Noain-SánchezUniversidad Internacional de La Rioja - UNIR c/ Avenida de la Paz, 137, 26006 Logroño, Spain.
Elena Verdú PérezUniversidad Internacional de La Rioja - UNIR c/ Avenida de la Paz, 137, 26006 Logroño, Spain.
Rubén González CrespoUniversidad Internacional de La Rioja - UNIR c/ Avenida de la Paz, 137, 26006 Logroño, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CBRCoronavirusCOVID-19Fake news detectionOSINT

Identifiers

PMID35721809
PMCPMC9188818

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.