Documents

The situation of the coronavirus pandemic has exacerbated the problem of
disinformation in social networks, including the use of social bots. This actualizes the
need to develop methods to identify botnets and their dynamics. This article presents
one of these methods used by the authors to identify the thematic diversity of botnets in
the VKontakte social network. The method includes the analysis of bursts of network
publication activity, the method of frequency analysis of posted messages, profiling of
bot accounts, statistical analysis of texts, analysis of the structural organization of botnets and content of publications. The heuristic potential of this method is outlined for a
wide range of topics, including COVID-19.
Translated title of the contributionDETECTING THE THEMATIC DIVERSITY OF BOTNETS: APPROACHES AND METHODS
Original languageRussian
Title of host publicationКультура, личность, общество в условиях пандемии и пост-пандемии: методология, опыт эмпирического исследования
Subtitle of host publicationматериалы XХV Международной конференции памяти профессора Л. Н. Когана
Place of PublicationЕкатеринбург
PublisherУральский государственный педагогический университет
Pages239-248
ISBN (Print)9785718620436
StatePublished - 2022
EventXХV Международная конференция «Культура, личность, общество в
условиях пандемии и пост-пандемии: методология, опыт эмпирического исследования» - Екатеринбург
Duration: 17 Mar 2022 → 18 Mar 2022

Conference

ConferenceXХV Международная конференция «Культура, личность, общество в
условиях пандемии и пост-пандемии: методология, опыт эмпирического исследования»
CityЕкатеринбург
Period17/03/22 → 18/03/22

    Research areas

  • social bots, botnets, social networks, internet communications, Internet technologies, disinformation, botnet detection techniques

ID: 101299377