Media Analytics Systems in Library Activity Evaluation (on the Example of State Public Scientific Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS))
https://doi.org/10.20913/1815-3186-2024-4-05
Abstract
The article reveals the relevance of practical application of media analytics systems for libraries. Media analytics is a field of research focused on the extraction of specific information from the media and social networks in order to make optimal decisions at various levels, providing access to data on the preferences, actions, location and emotions of people - consumers of products and services. The problem is the need to track media activity and user activity in social networks by means of modern technologies in order to study the media image of an organization or person formed and to assess media presence. The aim of the article is to analyze in a comparative way the capabilities of automated services of media and social media monitoring “Medialogy” and “SCAN-Interfax” on the example of SPSTL SB RAS. The results, of the research conducted during the period 11.05.2023–11.05.2024, are presented. Despite the differences in the quantity of the publications found by the systems, common trends are identified. They are: the decrease, although insignificant, in the number of references on the library compared to the previous period of similar temporal coverage; the leading role of the official website; the neutral nature of most reports; one and the same key information occasions; regional affiliation and source categories, etc. It is found that the analysis parameters and functionality of the above-mentioned resources are similar, and the toolkit of the systems allows us the evaluation the effectiveness of both separate informational occasions and the overall PR-activity of the library. “SCAN-Interfax” and “Medialogy” systems offer a convenient toolkit for creating detailed and graphically expressive reports on the representation of SPSTL SB RAS in the media space. This approach seems innovative and promising in relation to the activities of library institutions and deserves replication as an empirical tool for scientific research (evaluation of marketing and PR activities of a library, management efficiency, an organization image), for the development of practical recommendations to improve library content.
About the Author
G. M. AgeevaRussian Federation
Ageeva Galina Mikhailovna - Professor of the Department of Cultural Studies and Library and Information Resources
68 Bolshevistskaya St., Saransk, 430005
References
1. Ageeva GM (2023) Media analytics in library research. Nauchnye i tekhnicheskie biblioteki 5: 58–76. (In Russ.). DOI: https://doi.org/10.33186/1027-3689-2023-5-58-76.
2. Bogdanova OA and Sokolov AS (2020) Religious media in a situation of convergence: tools of media analytics and formation of strategies of Orthodox media “FOMA” in social networks. Vestnik Voronezhskogo gosudarstvennogo universiteta. Seriya: Filologiya. Zhurnalistika 4: 78–83. (In Russ.).
3. Dolenko A (2021) Analytics of marketing communications in the library. Universitetskaya kniga 3: 41–47. (In Russ.).
4. Maslova A, Kokarev K and Sergeeva V (2021) Strategies for creating a public image of a library that is “useful for the university”. Universitetskaya kniga 4: 76–80. (In Russ.).
5. Molokovsky DS and Nezdyurov AL (2014). Prospects of using the automated system of media monitoring and media analysis “Medialogiya” for political forecasting. Perspektivy razvitiya informatsionnykh tekhnologii 20: 56–67. (In Russ.).
6. Redkina NS (2018) Evaluating libraries’ activities in social media through web-analytic means. Nauchnye i tekhnicheskie biblioteki 3: 16–23. (In Russ.). DOI: https://doi.org/10.33186/1027-3689-2018-3-16-23.
7. Redkina NS (2018) Library websites through the lens of web analytics. Nauchnotekhnicheskaya informatsiya. Seriya 2, Informatsionnye protsessy i sistemy 4: 24–29. (In Russ.).
8. Rybina AA (2022) Application of information analytics in various spheres of social and professional activities. Informatsionnye tekhnologii v nauke, biznese i obrazovanii. Problemy obespecheniya tsifrovogo suvereniteta gosudarstva: materialy XIII Mezhdunar. nauch.-prakt. konf. studentov, aspirantov i molodykh uchenykh. Moscow, pp. 146–155. (In Russ.).
9. Sokolov SV (2018) Applying Google Trends web-analytic tools in socio-humanitarian and library studies. Bibliosfera 4: 3–9. (In Russ.). DOI: https://doi.org/10.20913/1815-3186-2018-4-3-9.
10. Tyunina EV (2023) Specifics of the coverage of sanctions in the Russian online media. Nauka i shkola 2: 43–56. (In Russ.). DOI: https://doi.org/10.31862/1819-463X-2023-2-43-56.
11. Udartseva OM and Redkina NS (2018) Web-based tools for evaluating libraries' social accounts. Trudy GPNTB SO RAN. Novosibirsk, iss. 13-2, pp. 154–171. (In Russ.). DOI: https://doi.org/10.20913/2618-7515-2018-2-154-171.
12. Chubina EA (2024) Media analytics of social media for the purpose of expert forecasting. Vestnik Universiteta imeni O. E. Kutafina (MGYuA) 3: 85–89. (In Russ.). DOI: https://doi.org/10.17803/2311-5998.2024.115.3.085-089.
13. Batrinca B and Treleaven P (2015) Social media analytics: a survey of techniques, tools and platforms. AI & Society 30 (1): 89–116. DOI: https://doi.org/10.1007/s00146-014-0549-4.
14. Brooker P, Barnett J and Cribbin T (2016). Doing social media analytics. Big Data & Society 3 (2). DOI: https://doi.org/10.1177/2053951716658060.
15. Fan W and Gordon M (2014) The power of social media analytics. Communications of the ACM 57 (6): 74–81. DOI: https://doi.org/10.1145/2602574.
16. Isson JP and Harriott J (eds) (2012) Win with advanced business analytics: creating business value from your data. Hoboken: John Wiley & Sons.
17. Rathore AK, Kar AK and Ilavarasan PV (2017) Social media analytics: literature review and directions for future research. Decision Analysis 14 (4): 229–249. DOI: https://doi.org/10.1287/deca.2017.0355.
18. Riffe D, Lacy S, Watson B and Fico F (2019) Analyzing media messages: using quantitative content analysis in research. New York: Routledge. DOI: https://doi.org/10.4324/9780429464287.
19. Sebei H, Hadj Taieb MA and Ben Aouicha M (2018) Review of social media analytics process and Big Data pipeline. Social Network Analysis and Mining 8: 30. DOI: https://doi.org/10.1007/s13278-018-0507-0.
20. Stieglitz S, Dang-Xuan L, Bruns A and Neuberger C (2014) Social media analytics: an interdisciplinary approach and its implications for information systems. Business & Information Systems Engineering 6 (2): 89–96. DOI: https://doi.org/10.1007/s12599-014-0315-7.
21. Thelwall M (2018) Social media analytics for YouTube comments: potential and limitations. International Journal of Social Research Methodology 21 (3): 303–316. DOI: https://doi.org/10.1080/13645579.2017.1381821.
22. Zeng D, Chen H, Lusch R and Li SH (2010) Social media analytics and intelligence. IEEE Intelligent Systems 25 (6): 13–16. DOI: https://doi.org/10.1109/ MIS.2010.151.
Review
For citations:
Ageeva G.M. Media Analytics Systems in Library Activity Evaluation (on the Example of State Public Scientific Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS)). Bibliosphere. 2024;(4):43-52. (In Russ.) https://doi.org/10.20913/1815-3186-2024-4-05