The DARPA Twitter Bot Challenge

被引：223

作者：

Subrahmanian, V. S. ^{[1
]}

Azaria, Amos ^{[2
]}

Durst, Skylar ^{[3
]}

Kagan, Vadim ^{[3
]}

Galstyan, Aram ^{[4
]}

Lerman, Kristina ^{[5
]}

Zhu, Linhong ^{[6
]}

Ferrara, Emilio ^{[7
]}

Flammini, Alessandro ^{[8
]}

Menczer, Filippo ^{[9
]}

机构：

[1] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA

[2] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15213 USA

[3] SentiMetrix, Bethesda, MD USA

[4] Univ Southern Calif, Comp Sci, Los Angeles, CA USA

[5] Univ Southern Calif, Dept Comp Sci, Los Angeles, CA USA

[6] Univ Southern Calif, Inst Informat Sci, Los Angeles, CA USA

[7] Indiana Univ, Bloomington, IN 47405 USA

[8] Indiana Univ, Sch Informat & Comp, Bloomington, IN 47405 USA

[9] Indiana Univ, Ctr Complex Networks & Syst Res, Bloomington, IN 47405 USA

来源：

COMPUTER | 2016年 / 49卷 / 06期

基金：

美国国家科学基金会;

关键词：

ONLINE;

D O I：

10.1109/MC.2016.183

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

From politicians and nation states to terrorist groups, numerous organizations reportedly conduct explicit campaigns to influence opinions on social media, posing a risk to freedom of expression. Thus, there is a need to identify and eliminate "influence bots"-realistic, automated identities that illicitly shape discussions on sites like Twitter and Facebook-before they get too influential.

引用

页码：38 / 46

页数：9

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