Detecting Bots on Russian Political Twitter-Reference-Cited by-同舟云学术

Detecting Bots on Russian Political Twitter

Published:2017-12 Issue:4 Volume:5 Page:310-324
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Stukal Denis¹²,Sanovich Sergey¹²,Bonneau Richard²³⁴,Tucker Joshua A.¹²³

Affiliation:

1. Department of Politics, New York University, New York, New York.

2. Social Media and Political Participation (SMaPP) Lab, New York University, New York, New York.

3. New York University Center for Data Science, New York University, New York, New York.

4. Flatiron Institute, Simons Foundation, New York, New York.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.liebertpub.com/doi/pdf/10.1089/big.2017.0038

Reference35 articles.

1. Democracy’s Fourth Wave?

2. BarberP. How social media reduces mass political polarization. Evidence from Germany, Spain, and the U.S. In: Presented at the Annual Meeting of the American Political Science Association, San Francisco, CA, 2015.

3. ThompsonA. Journalists and Trump voters live in separate online bubbles, MIT analysis shows. Vice News, December 2016.

4. On Profiling Bots in Social Media

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