Fighting Fake News Spread in Online Social Networks: Actual Trends and Future Research Directions

被引：0
|
作者：
Campan, Alina [1 ]
Cuzzocrea, Alfredo [2 ,3 ]
Truta, Traian Marius [1 ]
机构：
[1] Northern Kentucky Univ, Dept Comp Sci, Highland Hts, KY 41099 USA
[2] Univ Trieste, Trieste, Italy
[3] ICAR CNR, Trieste, Italy
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2017年
关键词：
fake news; spreading; social networks; influence maximization; information diffusion;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present how fake news spread in the current online social networks. We discuss how existing social network technologies such as influence maximization, information diffusion, and epidemiological models contributes to fake news creation and spreading. Solutions to reducing the creation and spreading of fake news are also reviewed. We make recommendations regarding future areas of research in this field.
引用
收藏
页码：4453 / 4457
页数：5
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