Social Portrait Of Online Media Audience: Changing Trends and Preferences among Russians

© Media Watch 9 (3) 383-396, 2018
ISSN 0976-0911 e-ISSN 2249-8818
DOI: 10.15655/mw/2018/v9i1/49496

Social Portrait of Online Media Audience: Changing Trends and Preferences among Russians

1Tyumen Industrial University, Russian Federation
2,3Russian State Social University, Russian Federation
The rapid spreading of the Internet and virtual ways of communication actualizes the issue of compiling a sociological portrait of online mass media audience. The study examined the socio-demographic composition of online media audience in Russia in the dynamics over the last ten years from 2008 to 2018. The analysis of empirical data on the main classification characteristics allowed identifying the stable trends in the changes in the Internet audience and their preferences. We found that Internet users often do not use news websites directly (35 per cent of the entire audience); most of all, they are interested in the most aggregated overview or a specific piece of news. Every year, the online media audience increasingly differentiates and becomes more diverse by sex, age, occupation and other characteristics. A significant number of Internet users consists of Russian residents at the age of 25 to 34 years (29 per cent). The elder generation has begun to use the Internet more often (21 per cent), while the other two age groups of the audience at the age of 12-17 years and 18-24 years are the smallest ones, accounting for 10 per cent and 14 per cent respectively. The main companies that significantly affect the public mood in the country are Yandex and; they control over 75 per cent of the market. The article provides an assessment of consumers’ readiness to perceive the online media as the main and only source of information.
Keywords: Mass media, social portrait, Internet audience
Aldakusheva, A.B. (2010). Research of Feasibility on Placing Advertisements in Television Programs and Degree of Compatibility of Their Viewers and Target Audience. Modern Trends in Economics and Management: A New View, 3-1, 108-113.
Alshahrani, S., & Ward, R. (2014). Social Website Technologies and Their Impact on Society. In S. Saeed (Ed.), User-Centric Technology Design for Nonprofit and Civic Engagements. Public Administration and Information Technology (Vol. 9). Cham: Springer.
Antunes, F., & Costa, J.P. (2015). The Impact of Online Social Networks on Decision Support Systems. In L. Mola, F. Pennarola, & S. Za (Eds.), From Information to Smart Society. Lecture Notes in Information Systems and Organisation (Vol. 5). Cham: Springer.
Arzhenovskii, S.V., & Suntura, L. (2014). Statistical Analysis of the Profile of Internet Services’ Consumers. Modern Management Technologies, 9(45). Article Number: 4501. Retrieved May 3, 2018, from
Bergenholtz, C. (2012). Interfirm Communities: Neither Weak nor Strong Ties. In A., Bøllingtoft, L. Donaldson, G. Huber, D. Håkonsson, & C. Snow (Eds.), Collaborative Communities of Firms. Information and Organization Design Series (Vol. 9). New York: Springer.
Braddock, R. (1958). An Extension of the “Lasswell Formula”. Journal of Communication, 8.
Castels, M. (2004). The Internet Galaxy: Reflections on the Internet, Business and Society. Ekaterinburg: U-Faktoriya. (p. 328).
Champagne, P. (1997). Making Opinion: A New Political Game. Moscow: Socio-Logos. (p. 317).
Faustino, P. (2013). Book Industry Business, Concentration, Internet and Social Media of Management and Marketing. In M. Friedrichsen, & W. Mühl-Benninghaus (Eds.), Handbook of Social Media Management. Media Business and Innovation. Berlin, Heidelberg: Springer.
Fisher, J., & Craig, A. (2000). Considering the Gender of Your Web Audience. In E. Balka, & R. Smith (Eds.), Women, Work and Computerization. IFIP — The International Federation for Information Processing (Vol. 44). Boston, MA: Springer.
Fiske, J. (2011). Introduction to Communication Studies. New York.
Hovland, C.I., Janis, I.I., & Kelly, H.H. (1953). Communication and Persuasion: Psychological Studies of Opinion Change. New Haven.
Kavanaugh, A., Reese, D.D., Carroll, J.M., & Rosson, M.B. (2003). Weak Ties in Networked Communities. In M. Huysman, E. Wenger, & V. Wulf (Eds.), Communities and Technologies. Dordrecht: Springer.
Klapper, J.T. (1960). The Effects of Mass Communication. Free Press.
unz, R., & Werning, S. (2013). Media Management and Social Media Business: New Forms of Value Creation in the Context of Increasingly Interconnected Media Applications. In M. Friedrichsen, & W. Mühl-Benninghaus (Eds.), Handbook of Social Media Management. Media Business and Innovation. Berlin, Heidelberg: Springer.
Lasswell, H.D. (1960). The Structure and Function of Communication in Society. In W. Schramm (Ed.), Mass Communication. Urbana.
Lazarsfeld, P., & Katz, E. (1955). Personal Influence: The Part played by People in the Flow of Mass Communication. New York: Free Press.
Lindlof, T.R. (2009). The Qualitative Study of Media Audiences. Journal of Broadcasting & Electronic Media, 35(1), 23-42.
Lippmann, W. (2004). Public Opinion. Moscow: Institute of the Foundation “Public Opinion”. (p. 384).
Livingstone, S. (2003). The Changing Nature of Audiences: From the Mass Audience to the Interactive Media User. London: LSE Research Online. Retrieved May 19, 2018, from
Livingstone, S. (2005). Media Audiences, Interpreters, Users. In M. Gillespie (Ed.), Media Audiences (pp. 9-50). Maidenhead: Open University Press/McGraw-Hill.
Mashninova, Yu.V. (2011). Internet User as a Potential Customer for Electronic Newspapers and Magazines. Scientific Periodicals: Problems and Solutions, 3, 16-21.
McQuail, D. (2013). Journalism and Society. Textbook. Moscow: Media-Mir. (p. 374).
Mediascope. (2018). Media Audience Research. Retrieved May 3, 2018, from
Meulemann, H., & Hagenah, J. (2009). Mass Media Research. Working Paper No. 111. German Council for Social and Economic Data (RatSWD). Retrieved May 19, 2018, from
Mironenko, L.A. (2011). Audience, Public: Research Traditions. Historical, Philosophical, Political and Law Sciences, Culturology and study of Art. Questions of Theory and Practice, 2(7-3), 158-161.
Noelle-Neumann, E. (1996). The Spiral of Silence: Public Opinion. Moscow: Progress-Akademiya. (p. 352).
Osagie, S. (2009). Rationale for Studying Mass Media Audiences. Retrieved May 5, 2018, from
Pashutin, D.Yu. (2010). Analysis of Stratification Tendencies of Television Audience. Economic Sciences, 62, 408-412.
Radkevich, A.L. (2009). Internet Audience: Current Situation, Dynamics, Tendencies. Knowledge. Understanding. Skill, 1, 230-236.
Sadylko, D.V. (2015). Social Portrait of Online Media Regional Audience. Retrieved May 19, 2018, from
Semenova, A.V., & Korsunskaya, M.V. (2010). Media Content Analysis: Problems and Application Experience. Moscow: Institute of Sociology of the RAS. (p. 324).
Urbanaeva, E.G. (2017). Methods of Sociological Research of the Audience and Its Opportunities. In Proceedings of the All-Russian Scientific and Practical Conference “Science and Society” (Vol. 2, pp. 194-198).
Urri, J. (2012). Mobilities. The Monitoring of Public Opinion, 5, 197-252.
Vesnić-Alujević, L., Seddighi, G., Das, R., & Mathieu, D. (2018). Audiences, Towards 2030: Drivers, Scenarios and Horizons of the Future. In R. Das, & B. Ytre-Arne (Eds.), The Future of Audiences. Cham: Palgrave Macmillan.
Webster, J.C., & Lin, S.-F. (2002). The Internet Audience: Web Use as Mass Behavior. Journal of Broadcasting & Electronic Media, 46(1), 1-12.
Zasurskii, Ya.N. (Ed.). (1988). The Working Book of the Editor of a Regional Newspaper: Experience, Methodologies, Recommendations. Moscow. (p. 575).
Zhebit, M.E. (2012). Factors of Segmentation of Online Media Audience. Bulletin of the Moscow State University of Printing Arts, 6, 132-135.
Zhukova, D.A. (2008). The Problem of the Media in Modern Society. Theory and Practice of Social Development, 2, 59-62.
Dr. Oleg M. Barbakov is a professor and head of the Department of Business Informatics and Mathematics at Tyumen Industrial University, Russian Federation. His areas of scientific interest are: information technologies, information systems, data mining, large data, system analysis, information management, sociology of management, business analytics.
Dr. Marina V. Vinogradova is a professor and director of Research Institute of Advanced Directions and Technologies at Russian State Social University, Russian Federation. Her areas of scientific interest are socio-economic development of macro and microsystems, socio-cultural problems, forecasting, information systems.
Alexander A. Shatsky is an applicant for candidate degree in economics, Russian State Social University, Russian Federation. His areas of scientific interest are: socio-economic development, multi-agent technologies, digital economy, management of economic systems, service management.