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Portrait of Vaccination Opponents during the Covid-19 Pandemic: Results of Big Data Analysis
Proceedings of the Tula States University-Sciences of Earth ; 1:8-18, 2022.
Article in Russian | Web of Science | ID: covidwho-2121070
ABSTRACT
The article analyzes the characteristics of clusters of Russians - so-called "anti vaccinators", identified during automated segmentation of social media accounts of Russian Internet users. The basis for the segmentation of vaccination opponents was the Russian social media communities criticizing the organization of the vaccination campaign against COVID-19. Special software uploaded the content of the accounts of participants of antivaccination communities. During the combined application of cognitive mapping and automated analysis of social media documents of opponents of vaccination, the main discourses, and contexts of criticism of the vaccination campaign, methods of manipulation of mass consciousness used for their formation were established, gender and age characteristics, value and civic attitudes of opponents of vaccination were identified.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Topics: Vaccines Language: Russian Journal: Proceedings of the Tula States University-Sciences of Earth Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Topics: Vaccines Language: Russian Journal: Proceedings of the Tula States University-Sciences of Earth Year: 2022 Document Type: Article