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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MDPI AG
2021
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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) |
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topic |
network operations network combatants social bots social network analysis induced activity induced activity detection Information technology T58.5-58.64 |
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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 |
_version_ |
1718412096256868352 |