ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY

When introducing a new product or service to the market, a manufacturer or retailer is faced with the need to develop a promotion strategy. Taking into account the recent trends in e-commerce and social media marketing, it makes sense to evaluate the possibility of borrowing promotion strategies fro...

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Autores principales:	Yu. V. Trushina, M. N. Belousova, E. Yu. Belova, V. A. Belousov
Formato:	article
Lenguaje:	RU
Publicado:	Publishing House of the State University of Management 2020
Materias:	advertising bots autocorrelation autoregression correlogram, dynamics forecasting model social networks Sociology (General) HM401-1281 Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/8181598953de4ee397689d6d2432e72e
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id	oai:doaj.org-article:8181598953de4ee397689d6d2432e72e
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spelling	oai:doaj.org-article:8181598953de4ee397689d6d2432e72e2021-12-03T07:43:34ZANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY1816-42772686-841510.26425/1816-4277-2020-11-157-164https://doaj.org/article/8181598953de4ee397689d6d2432e72e2020-12-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/2527https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415When introducing a new product or service to the market, a manufacturer or retailer is faced with the need to develop a promotion strategy. Taking into account the recent trends in e-commerce and social media marketing, it makes sense to evaluate the possibility of borrowing promotion strategies from producers of abstract, potentially monetized electronic content. The article considers the activity of advertising bots using the example of the social network Facebook. The paper carries out an autocorrelation analysis of the observation results and reveals the frequency of automated requests to the user by advertising bots. The authors construct an autoregressive model of the dynamics of the activity of advertising bots and verbalize Facebook’s strategy to increase traffic to the information space controlled by the social network.Yu. V. TrushinaM. N. BelousovaE. Yu. BelovaV. A. BelousovPublishing House of the State University of Managementarticleadvertising botsautocorrelationautoregressioncorrelogram, dynamicsforecastingmodelsocial networksSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 11, Pp 157-164 (2020)
institution	DOAJ
collection	DOAJ
language	RU
topic	advertising bots autocorrelation autoregression correlogram, dynamics forecasting model social networks Sociology (General) HM401-1281 Economics as a science HB71-74
spellingShingle	advertising bots autocorrelation autoregression correlogram, dynamics forecasting model social networks Sociology (General) HM401-1281 Economics as a science HB71-74 Yu. V. Trushina M. N. Belousova E. Yu. Belova V. A. Belousov ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
description	When introducing a new product or service to the market, a manufacturer or retailer is faced with the need to develop a promotion strategy. Taking into account the recent trends in e-commerce and social media marketing, it makes sense to evaluate the possibility of borrowing promotion strategies from producers of abstract, potentially monetized electronic content. The article considers the activity of advertising bots using the example of the social network Facebook. The paper carries out an autocorrelation analysis of the observation results and reveals the frequency of automated requests to the user by advertising bots. The authors construct an autoregressive model of the dynamics of the activity of advertising bots and verbalize Facebook’s strategy to increase traffic to the information space controlled by the social network.
format	article
author	Yu. V. Trushina M. N. Belousova E. Yu. Belova V. A. Belousov
author_facet	Yu. V. Trushina M. N. Belousova E. Yu. Belova V. A. Belousov
author_sort	Yu. V. Trushina
title	ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
title_short	ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
title_full	ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
title_fullStr	ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
title_full_unstemmed	ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
title_sort	analysis and forecasting the dynamics of advertising bots activity
publisher	Publishing House of the State University of Management
publishDate	2020
url	https://doaj.org/article/8181598953de4ee397689d6d2432e72e
work_keys_str_mv	AT yuvtrushina analysisandforecastingthedynamicsofadvertisingbotsactivity AT mnbelousova analysisandforecastingthedynamicsofadvertisingbotsactivity AT eyubelova analysisandforecastingthedynamicsofadvertisingbotsactivity AT vabelousov analysisandforecastingthedynamicsofadvertisingbotsactivity
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ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY

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