ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY
https://doi.org/10.26425/1816-4277-2020-11-157-164
Abstract
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.
About the Authors
Yu. V. Trushina
Plekhanov Russian University of Economy
Russian Federation
Russian Federation
Senior lecturer
Moscow
M. N. Belousova
State University of Management
Russian Federation
Russian Federation
Candidate of Economic Sciences
Moscow
E. Yu. Belova
State University of Management
Russian Federation
Russian Federation
Senior lecturer
Moscow
V. A. Belousov
State University of Management
Russian Federation
Russian Federation
Senior lecturer
Moscow
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Review
For citations:
Trushina Yu.V., Belousova M.N., Belova E.Yu., Belousov V.A. ANALYSIS AND FORECASTING THE DYNAMICS OF ADVERTISING BOTS ACTIVITY. Vestnik Universiteta. 2020;(11):157-164. (In Russ.) https://doi.org/10.26425/1816-4277-2020-11-157-164
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