Featured

New research paper on Sputnik News to be presented at ECPR Hamburg

A research paper by Watanabe on Sputnik News, Conspiracist propaganda: How Russia promotes anti-establishment sentiment online?, will be presented in the Political Communication in a Post-Truth Era panel at ECPR General Conference in Hamburg. It is widely recognized that the Russian government has been involved in international propaganda to influence foreign publics as part of …

Continue reading New research paper on Sputnik News to be presented at ECPR Hamburg

LSS model for protest framing analysis is available now

Our framing analysis tool is now publicly available in the LSS package. We performed analysis of Russian media's framing of street protests using a system developed in Python, but subsequently transferred the 'trained' model into R to make it more accessible. We labelled it 'dictionary' earlier, but refer to it now as a fitted Latent …

Continue reading LSS model for protest framing analysis is available now

Ukraine crisis timeline and news coverage of Euromaidan protests

Coverage of the Euromaidan protests by select Russian state-controlled media (Rossiyskaya gazeta, Komsomolskaya pravda, Izvestiya newspapers; and Russia 1, Channel 1 and NTV TV channels); and independent Russian and Ukrainian media sources (Rosbalt, Interfax and Zerkalo nedeli). Lower values (“score” line) represent a tendency to portray protests as disorder, while higher values indicate a freedom …

Continue reading Ukraine crisis timeline and news coverage of Euromaidan protests

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 …

Continue reading Dictionary Construction Procedure

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) …

Continue reading Russian Protest Media Framing Dictionary

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 …

Continue reading Content Analysis Employing the LSS Dictionary

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 …

Continue reading Russian Protest Media Framing Data 2011-2013