I offer the first large-scale study of how news manipulations in an autocracy vary across different media outlets. I conjecture that in Russia, 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 state television to learn about daily affairs. I evaluate the conjecture using three data sets: headlines displayed on the Yandex News Aggregator, transcripts of evening news on Channel 1, and reports from a private news agency Interfax, testing how daily reporting varied in topics across the media outlets. Using crowdsourcing, supervised machine learning, and dictionary techniques, I analyse 70000 news reports from August 2018 - March 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.
Key words: online news, autocracy, media bias