Arming the public with artificial intelligence to counter social bots-Reference-Cited by-同舟云学术

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Arming the public with artificial intelligence to counter social bots

Published:2019-01 Issue:1 Volume:1 Page:48-61
ISSN:2578-1863
Container-title:Human Behavior and Emerging Technologies
language:en
Short-container-title:Human Behav and Emerg Tech

Author:

Yang Kai‐Cheng¹,Varol Onur²,Davis Clayton A.¹,Ferrara Emilio³,Flammini Alessandro¹⁴,Menczer Filippo¹⁴^ORCID

Affiliation:

1. Center for Complex Networks and Systems Research Indiana University Bloomington Indiana

2. Center for Complex Networks Research Northeastern University Boston Massachusetts

3. Information Sciences Institute University of Southern California Los Angeles California

4. Indiana University Network Science Institute Bloomington Indiana

Funder

Defense Advanced Research Projects Agency

National Institutes of Health

Air Force Office of Scientific Research

Publisher

Hindawi Limited

Subject

Human-Computer Interaction,General Social Sciences,Social Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbe2.115

Reference84 articles.

1. Abokhodair N. Yoo D. &McDonald D. W.(2015).Dissecting a social botnet: Growth content and influence in Twitter. Paper presented at the Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW) Vancouver Canada 839–851.

2. A generic statistical approach for spam detection in Online Social Networks

3. People are strange when you're a stranger: Impact and influence of bots on social networks;Aiello L. M.;Links,2012

4. The Importance of Debiasing Social Media Data to Better Understand E-Cigarette-Related Attitudes and Behaviors

5. Could Social Bots Pose a Threat to Public Health?

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