Causative-Emotive Analysis: The Study of Youtube Viewers Reactions to Propaganda

 
PIIS020595920021484-8-1
DOI10.31857/S020595920021484-8
Publication type Article
Status Published
Authors
Occupation: head of the division “Artificial intelligence and decision making”
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Occupation: Research Engineer of the Intellectual Analysis of Information department
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Affiliation: Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Address: Russian Federation, Moscow
Journal namePsikhologicheskii zhurnal
EditionVolume 43 Issue 4
Pages90-98
Abstract

The emotionality of political discourse, and the attributing of emotional states, and their causes, in particular, are examined. The research was carried out using TITANIS, the described in part 1 of the paper, an automatic text analysis tool created at the Federal Research Center Computer Science and Control of the Russian Academy of Sciences (FRC CSC RAS). The emotionality of viewers of political and non-political Russian-language YouTube channels, as well as of audience of conservative and liberal influencers, was compared. Comments on politicized channels were analyzed in order to identify a causation of the mentioned emotional states. 

Keywordspolitical discourse, emotives, automatic text analysis, text markers of emotionality, causative-emotive analysis
AcknowledgmentThe research was supported by the Russian Foundation for Basic Research under research project No. 21-011-31638.
Publication date15.09.2022
Number of characters27288
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