Food for Thought: Fighting Fake News and Online Disinformation

被引：13
|
作者：
Demestichas, Konstantinos [1 ]
Remoundou, Konstantina [2 ]
Adamopoulou, Evgenia [3 ]
机构：
[1] Natl Tech Univ Athens, Inst Commun & Comp Syst, Athens, Greece
[2] Natl Tech Univ Athens, Athens, Greece
[3] Natl Tech Univ Athens, Comp Networks Lab, Athens, Greece
来源：
IT PROFESSIONAL | 2020年 / 22卷 / 02期
基金：
欧盟地平线“2020”;
关键词：
Social networking (online); Media; Machine learning; Plastics; Analytical models; Linguistics; Information integrity;
D O I：
10.1109/MITP.2020.2978043
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fake news are becoming a growing concern for several industrial sectors and the society at large. In this article, the authors explain why people are susceptible to fake news and what types of impact fake news can cause, taking examples from the agrifood and other sectors. By providing a concise yet insightful overview in the field, the authors discuss how advances in machine learning and semantic technologies can be utilized to detect fake news and mitigate online disinformation.
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页码：28 / 34
页数：7
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