Presentation of research at APSA

Tomila Lankina and Katerina Tertytchnaya have presented their work on the effects of regional protests on public opinion at the 112th Annual Meeting of the American Political Science Association which took place on 1-4 September 2016 in Philadelphia.The paper analyzes the extent to which the 2011-2012 sub-national electoral protests in Russia swayed public opinion towards …

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Member of the project awarded Fulbright-Schuman Fellowship

Katerina Tertytchnaya, who analyses protest trends in Russia for the project, has recently been awarded a Fulbright-Schuman Fellowship to conduct research at Columbia University in New York. During this time, Katerina will research how economic sanctions affected domestic politics and presidential approval in Russia. She will continue to work closely with the Popular Mobilization project …

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New research paper in Post-Soviet Affairs

A new research paper by Rodion Skovoroda and Tomila Lankina entitled Fabricating Votes for Putin: New Tests of Fraud and Electoral Manipulations from Russia has been published in Post-Soviet Affairs. We extend the “fraud forensics” research to systematically explain precinct-level and regional variations in electoral manipulations in Russia’s March 2012 presidential election. Parametric last-digit frequency …

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Dictionary Construction Procedure

For construction of the Russian protest framing dictionary we employed a technique called supervised Latent Semantic Scaling (LSS). This supervised machine-learning technique requires manual coding involving a training set for dictionary construction and a test set for dictionary validation. In the manual content analysis stage of the Russian-language protest framing dictionary construction, each sentence of …

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Russian Protest Media Framing Dictionary

The Russian protest framing dictionary was created to analyse how Russian state-controlled media cover street protests. The list of keywords in the dictionary and continuous scores attached to the words allow computer programs to locate Russian language news stories on a social disorder vs. freedom to protest scale. Text format (.csv) OpenDocument Spreadsheet format (.ods) …

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Content Analysis Employing the LSS Dictionary

This is a sample R code for dictionary-based content analysis. You have to install qunteda package before running this code. calc_scores <- function(mx, df_dict){ dict <- list() mx <- as.matrix(t(subset(t(mx), colnames(mx) %in% rownames(df_dict)))) #Remove words not in the dictionary for(word in colnames(mx)){ dict[[word]] <- df_dict$score[rownames(df_dict)==word] } # Based on Wordscore (Benoit & Laver 2003) mx_tf …

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Russian Protest Media Framing Data 2011-2013

Below we reproduce part of the large dataset on Russian state-controlled media coverage of protests that we constructed using our content analysis dictionary. This subset contains the results of content analysis as well as metadata of 2,519 news stories about protest in Russia between 2011 and 2013. Text format (.csv) R data format (.rds) The …

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