2,340
Views
15
CrossRef citations to date
0
Altmetric
Articles

Protest in electoral autocracies: a new dataset

&
Pages 20-36 | Received 24 Apr 2019, Accepted 02 Aug 2019, Published online: 22 Aug 2019
 

ABSTRACT

A growing literature explores the causes and consequences of dramatic political protests in autocracies. Yet, we know comparatively little about other forms of protests in these regimes. The Lankina Russian Protest-Event Dataset (LAruPED) facilitates the investigation of protest in Russia, a classic example of an electoral authoritarian regime. The data, which are human-coded, identify, in wave one, protests across Russia from March 2007 until 2016. Unlike other datasets, which focus on political protests, LAruPED covers a wide range of social and economic protests and imposes no limitations on the minimum number of protesters involved in events as a prerequisite for inclusion in the dataset. We introduce LAruPED and discuss how it differs from other data. We also present examples from work that leverages the dataset to show how the data could be used to explore questions of authoritarian politics, highlighting variation in the type of suppressed protests in electoral autocracies.

Notes

1. http://namarsh.ru/materials/4A3A2EE6A4187.html.

2. We are grateful to Sasha de Vogel for alerting us to this potential issue in coverage of protests beyond the “Novosti protesta” section of the namarsh.ru website.

Additional information

Funding

This work was supported by the British Academy [Midcareer fellowship].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 154.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.