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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Publishing House of the State University of Management
2020-12-01
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| Series: | Вестник университета |
| Subjects: | |
| Online Access: | https://vestnik.guu.ru/jour/article/view/2527 |
| _version_ | 1797243864068653056 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-08T04:20:29Z |
| format | Article |
| id | doaj.art-8181598953de4ee397689d6d2432e72e |
| institution | Directory Open Access Journal |
| issn | 1816-4277 2686-8415 |
| language | English |
| last_indexed | 2024-04-24T19:01:53Z |
| publishDate | 2020-12-01 |
| publisher | Publishing House of the State University of Management |
| record_format | Article |
| series | Вестник университета |
| spelling | doaj.art-8181598953de4ee397689d6d2432e72e2024-03-26T14:23:05ZengPublishing House of the State University of ManagementВестник университета1816-42772686-84152020-12-0101115716410.26425/1816-4277-2020-11-157-1641900ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITYYu. V. Trushina0M. N. Belousova1E. Yu. Belova2V. A. Belousov3Plekhanov Russian University of EconomyState University of ManagementState University of ManagementState University of ManagementWhen 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.https://vestnik.guu.ru/jour/article/view/2527advertising botsautocorrelationautoregressioncorrelogram, dynamicsforecastingmodelsocial networks |
| spellingShingle | Yu. V. Trushina M. N. Belousova E. Yu. Belova V. A. Belousov ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY Вестник университета advertising bots autocorrelation autoregression correlogram, dynamics forecasting model social networks |
| title | 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_short | ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY |
| title_sort | analysis and forecasting the dynamics of advertising bots activity |
| topic | advertising bots autocorrelation autoregression correlogram, dynamics forecasting model social networks |
| url | https://vestnik.guu.ru/jour/article/view/2527 |
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