Identifying Fake News and Fake Users on Twitter

被引：42

作者：

Atodiresei, Costel-Sergiu ^{[1
]}

Tanaselea, Alexandru ^{[1
]}

Iftene, Adrian ^{[1
]}

机构：

[1] Alexandru Ioan Cuza Univ, Fac Comp Sci, Gen Berthelot 16, Iasi 700483, Romania

来源：

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES-2018) | 2018年 / 126卷

关键词：

Fake news; User credibility; Twitter;

D O I：

10.1016/j.procs.2018.07.279

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the last years big social networks like Facebook or Twitter admit that on their networks are fake and duplicate accounts, fake news and fake likes. With these accounts, their creators can distribute false information, support or attack an idea, a product, or an election candidate, influencing real network users in making a decision. In this paper, we present our system build with the aim of identifying fake users and fake news in the Twitter social network. (C) 2018 The Authors. Published by Elseiver Ltd.

引用

页码：451 / 461

页数：11

共 11 条

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