I am a PhD Candidate at the LSE.
I am interested in Text as Data and other Data Science-based approaches in social sciences.
News about Ukraine on Russian Domestic Television, 2009-2019
Solo-authored. Under review
This article is the first study to expose large-scale evidence of attempts by Russian state-controlled domestic television to amplify the importance of the Ukrainian agenda for its audience in the years prior to the full-scale war. Drawing on a data set composed of 2.4 million transcripts of news stories transmitted in Russia between 2009–2019, I offer the evidence of mass media agenda-setting and distraction. First, applying the difference in differences technique, I show that state-enforced change in news management in 2016 induced previously independent television network RBC to increase its reporting about Ukraine by more than half. Second, I demonstrate the that on nine domestic media outlets, less intense reporting about domestic events was attributed to more reporting about the events in Ukraine rather than in other countries. The data set employed in this article covers most of popular national domestic television news flow during the period.
How Russia Solved Dictator's Dilemma in 2019
Solo-authored. Work in progress
How do news manipulations in Russia vary across different types of mass media? I conjecture that state-controlled news published online, for consumption by a digitally literate audience, exhibits less pro-regime bias than programming created for those who rely on national television to learn about daily affairs. I test the conjecture using two data sets: headlines displayed on the Yandex News Aggregator and transcripts of evening news on Channel One, examining how daily reporting varied in topics across in two media outlets. Using crowdsourcing, supervised machine learning, and dictionary techniques, I analyse 70,000 news reports from 2018-2020. Results indicate that the state-controlled online platform, in contrast to national television channels, demonstrates less tendency to censor stories about political opposition and bad economic news, but promotes stronger measurable bias in the coverage of foreign affairs, specifically news that involves Ukraine and the US.