Пути российской инфодемии: от WhatsApp до Следственного комитета

Архипова, Александра Сергеевна; Radchenko, Daria; Козлова, Ирина Владимировна; Peigin, B. S.; Гаврилова, Мария Владимировна; Petrov, Nikita

doi:10.14515/monitoring.2020.6.1778

Cited by 8 publications

(2 citation statements)

References 21 publications

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“…For example, 'Operation InfeKtion' was used to spread disinformation around the world that the United States government created the HIV epidemic (Grimes, 2017), and Russian trolls have contributed to amplifying and politicising the vaccine debate and spreading disinformation about the measles vaccine via Twitter (Broniatowski et al, 2018). Researchers found that the largest group of people contributing to the infodemic on Russian social media is 'COVID-dissidents' or those claiming that the threat of the virus is being exaggerated and the government is using it to promote their own interests (Arkhipova et al, 2020). Arkhipova et al (2020) postulate that social media use for information about COVID-19 is so high in Russia because when there is such low-levels of trust of institutions and official sources of information, people prefer to receive the information via horizontal channels.…”

Section: Government Control Over Informationmentioning

confidence: 99%

“…Researchers found that the largest group of people contributing to the infodemic on Russian social media is 'COVID-dissidents' or those claiming that the threat of the virus is being exaggerated and the government is using it to promote their own interests (Arkhipova et al, 2020). Arkhipova et al (2020) postulate that social media use for information about COVID-19 is so high in Russia because when there is such low-levels of trust of institutions and official sources of information, people prefer to receive the information via horizontal channels. Social media and the internet have changed how the Russian government controls information and the media narrative, and caused the state to 'rewire its propaganda' (Oates, 2016).…”

Section: Government Control Over Informationmentioning

confidence: 99%

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COVID-19 in Russia: Should we expect a novel response to the novel coronavirus?

King

Dudina

2021

Global Public Health

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Russia provides an important case study in its COVID-19 response by a country that has one of the largest epidemics, increasingly authoritarian government policies, and important domestic and international political influence. In this article, we describe and explain Russia's public health and social policy responses to COVID-19earlier in the pandemic when the concern was the border with China, to later when there were confirmed cases in all regions in the country. In the past, Russia has served as an interesting case for exploring global health politics and infectious diseases. Thus, we position our analysis of the COVID-19 response through a reflection on infectious disease control in the Soviet Union and contemporary Russia. We explore the following: government control, contention with official statistics, (dis-)information, (mis-)trust, and vulnerabilities of medical care workers. We also discuss how Russia is reinforcing its role in global health during the pandemic, for example through vaccine development and foreign humanitarian aid. We situate our analysis in the historical, political, and social contexts to help explain Russia's response to the novel coronavirus pandemic.

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Section: Government Control Over Informationmentioning

confidence: 99%

Section: Government Control Over Informationmentioning

confidence: 99%

COVID-19 in Russia: Should we expect a novel response to the novel coronavirus?

King

Dudina

2021

Global Public Health

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Linguistic security: anti-vaccination media discourse in the context of axiological worldview transformations

Malygina

Pavlova²

2022

Neophilol.

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We consider the impact of anti-vaccination movement and its substantial value attitudes on social networks users in the context of the COVID-19 pandemic. The study is conducted on the materials of the social networks VKontakte, Odnoklassniki, Telegram. In total, 2700 publications are analyzed by the method of communicative content analysis through the modeling of quantitative and qualitative data from March 12, 2020 (the beginning of pandemic) to December 31, 2021. When systematizing the results, a general scientific descriptive method is used. Four discursive practices of the anti-vaccination media discourse have been identified, directing users of social networks to perceive a certain aspect of vaccination and suggesting different justification of vaccination resistance strategies. In each discursive practice, the main topics of fake messages are presented, and argumentative models of anti-vaccinators in media texts are also noted. The problem of evaluation and interpretation of facts in the modern media discourse is considered. According to the results of study, the characteristic features of the formed “digital guerrilla media discourse” are formulated, the tools of linguistic security in social networks are designated. In order to protect public health, it is proposed to form programs for the training of new highly specialized professionals, such as “infodemiologist”, where information and biological aspects of public health will be equally taken into account.

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Fake information markers in COVID-19 news

Bitkova

2023

Neophilol.

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The relevance of the study is due to the interest of modern linguistics in the phenomenon of fake, the need for its comprehensive understanding and description. The aim of the work is to study the spread of fake information in the context of the COVID-19 pandemic, as well as to create a classification of fake information markers based on the study of I.A. Sternin and A.M. Shesterina. For the analysis of fakes, the database “Fake News in Social Networks and Media” was created, the material was 252 Internet texts containing false statements about COVID-19 from January 2020 to February 2022. Texts were collected using a continuous sampling method, sources for collecting material served as social networks and media sites. All fragments are divided into six groups by content: “Vaccination” (32 %), “Conspiracy Theories” (20 %), “International News” (18 %), “Panic Reports and Warnings” (14 %), “Pseudo-medical advice” (9 %), “Reports of confirmed cases/deaths” (7 %). In addition, the distribution of fakes in each year is considered. In the above fragments of fakes, the following groups of typical markers of fake information were identified: Formal markers, Content markers, Lexical markers, Pragmatic markers, Information sources, Argumentation. Examples from the database are selected for each marker.

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Пути российской инфодемии: от WhatsApp до Следственного комитета

Cited by 8 publications

References 21 publications

COVID-19 in Russia: Should we expect a novel response to the novel coronavirus?

COVID-19 in Russia: Should we expect a novel response to the novel coronavirus?

Linguistic security: anti-vaccination media discourse in the context of axiological worldview transformations

Fake information markers in COVID-19 news

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