Stweeler: A Framework for Twitter Bot Analysis

被引：33

作者：

Gilani, Zafar ^{[1
]}

Wang, Liang ^{[1
]}

Crowcroft, Jon ^{[1
]}

Almeida, Mario ^{[2
]}

Farahbakhsh, Reza ^{[3
]}

机构：

[1] Univ Cambridge, Cambridge, England

[2] Univ Politecn Cataluna, Barcelona, Spain

[3] CNRS, Inst Mines Telecom, UMR5157, Paris, France

来源：

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

关键词：

information dissemination; bot analyser; content analysis;

D O I：

10.1145/2872518.2889360

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The WWW has seen a massive growth in variety and usage of OSNs. The rising population of users on Twitter and its open nature has made it an ideal platform for various kinds of opportunistic pursuits, such as news and emergency communication, business promotion, political campaigning, spamming and spreading malicious content. Most of these opportunistic pursuits are exploited through automated programs, known as bots. In this study we propose a framework (Stweeler) to study bot impact and influence on Twitter from systems and social media perspectives.

引用

页码：37 / 38

页数：2

共 5 条

[1]

Chu Z, 2010, 26TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE (ACSAC 2010), P21

[2]

Gianvecchio S, 2007, CCS'07: PROCEEDINGS OF THE 14TH ACM CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, P307

[3]

HUSNA H., CCNC 2008

[4] Measuring regularity by means of a corrected conditional entropy in sympathetic outflow [J].

Porta, A ;

Baselli, G ;

Liberati, D ;

Montano, N ;

Cogliati, C ;

Gnecchi-Ruscone, T ;

Malliani, A ;

Cerutti, S .

BIOLOGICAL CYBERNETICS, 1998, 78 (01) :71-78

[5]

Wang AH, 2010, SECRYPT 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY, P142

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