title: Communication strategies of social bots: models of influence on the audience
metadata.name: dc.contributor.author
metadata.value: Vasilkova, Valeria V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Legostaeva, Natalya I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Radushevsky, Vladimir B.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2019-07-17T17:59:28Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2019-07-17T17:59:28Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2019-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Vasilkova V. V., Legostaeva N. I., Radushevsky V. I. Communication strategies of social bots: models of influence on the audience. Vestnik of Saint Petersburg University. Sociology, 2019, vol. 12, issue 2, pp. 153–163.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu12.2019.203
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/15978
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article analyzes a phenomenon of social bots that is actively discussed in the literature. Researchers study the use of social bots in different areas and their growing power of manipulative influence. The authors have accomplished the following goals: 1) analyzed the most common approaches to the typology of botnets, 2) designed new approach to the typology of bots, associated with the peculiarities of their impact on the potential audience within a specific communication strategy, 3) developed parameters to describe different models of influence on the audience, 4) verified hypothesis using an example of a case study that analyzed two botnets in the “VKontakte” social network detected with the help of the author's technique. The results of the study. The authors identify the following parameters of the impact of bots on a potential audience: 1) the number of technological accounts in a botnet, 2) intensity of publication activities. These two parameters combined help identify extensive and intensive models of influence on a potential audience. In addition, they help find differences in the implementation of an attraction function. One botnet illustrates an extensive model of influence; the other shows an intensive model. The authors suggest that the choice of an impact model may depend on a botnet’s thematic focus and a type of a potential audience. In the future, to extend the examination of botnets’ communication strategies, the authors plan to add and analyze other parameters yet to be determined.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The reported study was funded by the Russian Foundation for Basic Research on the research project no. 18-011-00988 ‘Structure of botnet space of social networks: network analysis’.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Sociology;Volume 12; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: bots
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: botnets
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: typology of bots
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: methods of detecting botnets
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: intensive and extensive models
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Communication strategies of social bots: models of influence on the audience
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 153-163.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/15978/1/153-163.pdf
resources.format: Adobe PDF
resources.size: 1,07 MB