BotOrNot: A System to Evaluate Social Bots

被引：473

作者：

Davis, Clayton A. ^{[1
]}

Varol, Onur ^{[1
]}

Ferrara, Emilio ^{[2
]}

Flammini, Alessandro ^{[1
]}

Menczer, Filippo ^{[1
]}

机构：

[1] Indiana Univ, Ctr Complex Networks & Syst Res, Bloomington, IN 47408 USA

[2] Univ Southern Calif, Informat Sci Inst, Marina Del Rey, CA USA

来源：

PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16 COMPANION) | 2016年

基金：

美国国家科学基金会;

关键词：

social bot; sybil account; social media;

D O I：

10.1145/2872518.2889302

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

While most online social media accounts are controlled by humans, these platforms also host automated agents called social bots or sybil accounts. Recent literature reported on cases of social bots imitating humans to manipulate discussions, alter the popularity of users, pollute content and spread misinformation, and even perform terrorist propaganda and recruitment actions. Here we present BotOrNot, a publicly-available service that leverages more than one thousand features to evaluate the extent to which a Twitter account exhibits similarity to the known characteristics of social bots. Since its release in May 2014, BotOrNot has served over one million requests via our website and APIs.

引用

页码：273 / 274

页数：2

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