Key Factors of Social Networks Algorithms: Classification and Practical Significance for SMM
https://doi.org/10.35596/1729-7648-2026-32-1-12-18
Abstract
On social networks, algorithms determine whether users see certain content, requiring marketers to identify and analyze the key parameters that govern the logic of these algorithms. This article presents a systematization and comprehensive analysis of the key factors that social networks algorithms consider when selecting, ranking, and displaying text, photo, and video content. Based on these factors, the recommendations for optimizing social networks marketing strategies have been developed. The analysis identified key factors such as consumer engagement, user preferences, content alignment with platform (social network) priorities, content novelty, previous success (positive experience) of publications, and viewership duration. Methodological recommendations for company promotion on social networks, taking each of these factors into account, are proposed.
About the Authors
M. Batura
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Dr. Sci. (Tech.), Professor, Head of the R&D Lab “New Educational Technologies”
Minsk
I. Маrakhina
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Маrakhina Ina, Cand. Sci. (Econ.), Associate Professor, Associate Professor at the Economics Department
220005, Minsk, Platonova St., 39–809, Tel.: +375 29 380-59-99
U. Parkhimenko
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Cand. Sci. (Econ.), Associate Professor, Head of the Economics Department
Minsk
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Review
For citations:
Batura M., Маrakhina I., Parkhimenko U. Key Factors of Social Networks Algorithms: Classification and Practical Significance for SMM. Digital Transformation. 2026;32(1):12-18. (In Russ.) https://doi.org/10.35596/1729-7648-2026-32-1-12-18
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