Pattern Recognition Solutions for Fake News Detection

被引:10
作者
Choras, Michal [1 ]
Gielczyk, Agata [1 ]
Demestichas, Konstantinos [2 ]
Puchalski, Damian [3 ]
Kozik, Rafal [1 ]
机构
[1] UTP Univ Sci & Technol, Bydgoszcz, Poland
[2] Natl Tech Univ Athens, ICCS, Athens, Greece
[3] ITTI Sp Zoo, Poznan, Poland
来源
COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT, CISIM 2018 | 2018年 / 11127卷
关键词
Fake news detection; Pattern recognition; Image processing;
D O I
10.1007/978-3-319-99954-8_12
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Information is a crucial value nowadays in network digital societies. Therefore, the phenomenon of "fake news" is a serious problem in modern media and communication, e.g. with respect to information spreading within the society about current events and incidents. Fake news are currently a problem for media and broadcasting sector, for citizens, but also for homeland security. In this paper we present and overview the problem of fake news, we show the ideas and solutions for fake news detection, and we present our initial results for one of such approaches based on forged images detection.
引用
收藏
页码:130 / 139
页数:10
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