Human-machine interaction: A case study on fake news detection using a backtracking based on a cognitive system
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F19%3A43894613" target="_blank" >RIV/44555601:13510/19:43894613 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S1389041718310647?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1389041718310647?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cogsys.2018.12.018" target="_blank" >10.1016/j.cogsys.2018.12.018</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Human-machine interaction: A case study on fake news detection using a backtracking based on a cognitive system
Popis výsledku v původním jazyce
Although the Internet provides a variety of news, it also can give confusion caused by personal subjective thoughts such as personal TV, blogs, and unproven news. The unproven news is written in a subjective direction with added personal opinions rather than objective content, so readers may acquire knowledge with the wrong outlook. In addition, fake news is being produced and the problem of social polarization is becoming serious. In the end, it is necessary to detect the fake news, but it is not easy to distinguish the truth of published news because of the lack of fake news distinction time compared to the speed of information sharing on the Internet and the diversity and strong subjectivity of news. Therefore, in this paper, the possibility of fake news is defined by using the reverse-tracking method of the articles which are posted on the Cognitive System. Finally, as the result, the detection rate is average 85%. (C) 2018 Elsevier B.V. All rights reserved.
Název v anglickém jazyce
Human-machine interaction: A case study on fake news detection using a backtracking based on a cognitive system
Popis výsledku anglicky
Although the Internet provides a variety of news, it also can give confusion caused by personal subjective thoughts such as personal TV, blogs, and unproven news. The unproven news is written in a subjective direction with added personal opinions rather than objective content, so readers may acquire knowledge with the wrong outlook. In addition, fake news is being produced and the problem of social polarization is becoming serious. In the end, it is necessary to detect the fake news, but it is not easy to distinguish the truth of published news because of the lack of fake news distinction time compared to the speed of information sharing on the Internet and the diversity and strong subjectivity of news. Therefore, in this paper, the possibility of fake news is defined by using the reverse-tracking method of the articles which are posted on the Cognitive System. Finally, as the result, the detection rate is average 85%. (C) 2018 Elsevier B.V. All rights reserved.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Cognitive Systems Research
ISSN
1389-0417
e-ISSN
—
Svazek periodika
55
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
5
Strana od-do
77-81
Kód UT WoS článku
000461718400006
EID výsledku v databázi Scopus
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