Sergey Sanovich

All Publications

• Why Botter: How Pro-Government Bots Fight Opposition in Russia AMERICAN POLITICAL SCIENCE REVIEW Stukal, D., Sanovich, S., Bonneau, R., Tucker, J. A. 2022; 116 (3): 843-857

  View details for DOI 10.1017/S0003055421001507

  View details for Web of Science ID 000761616900001

• Exiles from Their Own Success: How Do Russian Programmers Succeed under Putin and Why Do They Still Continue to Leave? CONTEMPORARY SOCIOLOGY-A JOURNAL OF REVIEWS Sanovich, S. 2020; 49 (6): 491-496

  View details for DOI 10.1177/0094306120963120c

  View details for Web of Science ID 000585610300004

• Mobilizing opposition voters under electoral authoritarianism: A field experiment in Russia RESEARCH & POLITICS Peisakhin, L., Rozenas, A., Sanovich, S. 2020; 7 (4)

  View details for DOI 10.1177/2053168020970746

  View details for Web of Science ID 000590274100001

• For Whom the Bot Tolls: A Neural Networks Approach to Measuring Political Orientation of Twitter Bots in Russia SAGE OPEN Stukal, D., Sanovich, S., Tucker, J. A., Bonneau, R. 2019; 9 (2)

  View details for DOI 10.1177/2158244019827715

  View details for Web of Science ID 000464466400001

• Turning the Virtual Tables: Government Strategies for Addressing Online Opposition with an Application to Russia COMPARATIVE POLITICS Sanovich, S., Stukal, D., Tucker, J. A. 2018; 50 (3): 435-+

  View details for DOI 10.5129/001041518822704890

  View details for Web of Science ID 000429396000009

• Detecting Bots on Russian Political Twitter BIG DATA Stukal, D., Sanovich, S., Bonneau, R., Tucker, J. A. 2017; 5 (4): 310-324

  Abstract

  Automated and semiautomated Twitter accounts, bots, have recently gained significant public attention due to their potential interference in the political realm. In this study, we develop a methodology for detecting bots on Twitter using an ensemble of classifiers and apply it to study bot activity within political discussions in the Russian Twittersphere. We focus on the interval from February 2014 to December 2015, an especially consequential period in Russian politics. Among accounts actively Tweeting about Russian politics, we find that on the majority of days, the proportion of Tweets produced by bots exceeds 50%. We reveal bot characteristics that distinguish them from humans in this corpus, and find that the software platform used for Tweeting is among the best predictors of bots. Finally, we find suggestive evidence that one prominent activity that bots were involved in on Russian political Twitter is the spread of news stories and promotion of media who produce them.

  View details for DOI 10.1089/big.2017.0038

  View details for Web of Science ID 000417945800005

  View details for PubMedID 29235918