Social Spam, Campaigns, Misinformation and Crowdturfing

被引：2

作者：

Lee, Kyumin ^{[1
]}

Caverlee, James ^{[2
]}

Pu, Calton ^{[3
]}

机构：

[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA

[2] Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX 77843 USA

[3] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA

来源：

WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2014年

关键词：

social spam; campaign; misinformation; crowdturfing; social media;

D O I：

10.1145/2567948.2577270

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This tutorial will introduce peer-reviewed research work on information quality on social systems. Specifically, we will address new threats such as social spam, campaigns, misinformation and crowdturfing, and overview modern techniques to improve information quality by revealing and detecting malicious participants (e.g., social spammers, content polluters and crowdturfers) and low quality contents.

引用

页码：199 / 199

页数：1

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