Detection of Induced Activity in Social Networks: Model and Methodology

This paper examines the problem of social media special operations and especially induced support in social media during political election campaigns. The theoretical background of the paper is based on the study fake activity in social networks during pre-election processes and the existing models...

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Autores principales: Dmitrii Gavra, Ksenia Namyatova, Lidia Vitkova
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:34241c47393e431a8a20749183d52fd42021-11-25T17:40:06ZDetection of Induced Activity in Social Networks: Model and Methodology10.3390/fi131102971999-5903https://doaj.org/article/34241c47393e431a8a20749183d52fd42021-11-01T00:00:00Zhttps://www.mdpi.com/1999-5903/13/11/297https://doaj.org/toc/1999-5903This paper examines the problem of social media special operations and especially induced support in social media during political election campaigns. The theoretical background of the paper is based on the study fake activity in social networks during pre-election processes and the existing models and methods of detection of such activity. The article proposes a methodology for identifying and diagnosing induced support for a political project. The methodology includes a model of induced activity, an algorithm for segmenting the audience of a political project, and a technique for detecting and diagnosing induced support. The proposed methodology provides identification of network combatants, participants of social media special operations, influencing public opinion in the interests of a political project. The methodology can be used to raise awareness of the electorate, the public, and civil society in general about the presence of artificial activity on the page of a political project.Dmitrii GavraKsenia NamyatovaLidia VitkovaMDPI AGarticlenetwork operationsnetwork combatantssocial botssocial network analysisinduced activityinduced activity detectionInformation technologyT58.5-58.64ENFuture Internet, Vol 13, Iss 297, p 297 (2021)
institution DOAJ
collection DOAJ
language EN
topic network operations
network combatants
social bots
social network analysis
induced activity
induced activity detection
Information technology
T58.5-58.64
spellingShingle network operations
network combatants
social bots
social network analysis
induced activity
induced activity detection
Information technology
T58.5-58.64
Dmitrii Gavra
Ksenia Namyatova
Lidia Vitkova
Detection of Induced Activity in Social Networks: Model and Methodology
description This paper examines the problem of social media special operations and especially induced support in social media during political election campaigns. The theoretical background of the paper is based on the study fake activity in social networks during pre-election processes and the existing models and methods of detection of such activity. The article proposes a methodology for identifying and diagnosing induced support for a political project. The methodology includes a model of induced activity, an algorithm for segmenting the audience of a political project, and a technique for detecting and diagnosing induced support. The proposed methodology provides identification of network combatants, participants of social media special operations, influencing public opinion in the interests of a political project. The methodology can be used to raise awareness of the electorate, the public, and civil society in general about the presence of artificial activity on the page of a political project.
format article
author Dmitrii Gavra
Ksenia Namyatova
Lidia Vitkova
author_facet Dmitrii Gavra
Ksenia Namyatova
Lidia Vitkova
author_sort Dmitrii Gavra
title Detection of Induced Activity in Social Networks: Model and Methodology
title_short Detection of Induced Activity in Social Networks: Model and Methodology
title_full Detection of Induced Activity in Social Networks: Model and Methodology
title_fullStr Detection of Induced Activity in Social Networks: Model and Methodology
title_full_unstemmed Detection of Induced Activity in Social Networks: Model and Methodology
title_sort detection of induced activity in social networks: model and methodology
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/34241c47393e431a8a20749183d52fd4
work_keys_str_mv AT dmitriigavra detectionofinducedactivityinsocialnetworksmodelandmethodology
AT ksenianamyatova detectionofinducedactivityinsocialnetworksmodelandmethodology
AT lidiavitkova detectionofinducedactivityinsocialnetworksmodelandmethodology
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