March 7, 2022
By using natural language processing to measure the emotions conveyed by 40,000 sources of international media, RavenPack identified the emotional rollercoaster and turning points leading up to Russia’s decision to invade Ukraine.
When people’s feelings are running high, they tend to be angry, concerned, or excited. To assess the conflict between Russia and Ukraine, we created a pair of indices computing the perceived level of tension and danger as described by journalists over the past 6 months. We identified a major divergence in these emotions that possibly influenced the judgements and choices that led to the war.
Click the hot spots on the map for more details on when the indices change course.
Reports of tensions grew steadily from early September 2021 and accelerated fast after the first satellite imagery showed 100,000 soldiers and tanks stationed near the Ukrainian borders on the Russian side. However, the feeling of danger was actually eroding, as if the media conveyed the idea that Putin was bluffing - and ultimately what would turn out to be a false sense of security.
From mid-December, when Russia presented its demands to the West, to the end of January, when the United States addressed those demands, the indexes had diverged to opposite levels, but remained mostly unchanged, as if the world was waiting for Washington’s next move.
Feelings of agitation, concern, confusion, and pessimism remained high throughout February - a clear sign of the risk of war. Marking a sharp reversal, the Danger Index jumped, fueled by the breadth of the Russian military presence in the Ukrainian border, and the increased likelihood of military aggression.
By the start of the Russian invasion of Ukraine on February 20th, the Tension and Danger indexes began to converge as feelings of anger, panic, suffering, and terror took over the narrative in the media. Arguably, the divergence was the first sign of an imminent threat; the convergence of the indexes, the beginning of a war with no end in sight.
Using RavenPack news analytics, we systematically read articles talking simultaneously about Russia and Ukraine, both with high relevance, and build several indicators based on the “emotional language” used around them. We split the emotions into two groups:
For more information about how we construct the indexes or to access the underlying RavenPack data, contact us at info@ravenpack.com
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