Social Media as a Means for Big Data Research Holubova H. V.
Holubova, Halyna V. (2020) “Social Media as a Means for Big Data Research.” The Problems of Economy 1:298–304. https://doi.org/10.32983/2222-0712-2020-1-298-304
Section: Economic statistics. Accounting and Auditing
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UDC 311.21:[316.774:004.738]
Abstract: The growing use of cloud computing, social networks, mobile technologies and big data techniques is leading to increased opportunities for both carrying out scientific research and implementing practical tasks. Researchers are faced with a large amount of data created by social networking platforms, the diversity of which is further enhanced by the mixing of social networking platforms and new features of the Internet. The relevance of big data and social media is growing, but the scientific literature lacks conceptual tools and approaches that would help researchers structure and codify knowledge from big data of social media in various subject areas. Researchers do not have a common plan for understanding data and a complex network of relationships between entities, social networks, social platforms and other third-party databases, systems and objects. This problem is even more complicated when entering spatio-temporal data. The article provides a common framework for studying social media using big data. The author presents five analytical directions: space-time analytics, intranet analytics, internet analytics, platform analytics, and third-party data analysis. In these areas, three perspectives are identified — perspective of the account, perspective of the content, and perspective of the network. This material is intended to help researchers focus their study in a specific area of the discipline, using social media data sequentially.
Keywords: social media, social media analytics, big data analysis, research model.
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Holubova Halyna V. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics, The National Academy of Statistics, Accounting and Auditing (1 Pіdhіrna Str., Kyiv, 04107, Ukraine) Email: g_kondrya@ukr.net
List of references in article
Buda, A., Voitovych, O., and Holovenko, V. “Doslidzhennia metodiv analizu sotsialnykh merezh yak seredovyshcha informatsiinykh viin“ [Research of Methods of Analysis of Social Networks as an Environment of Information Wars]. Metody ta zasoby koduvannia, zakhystu i ushchilnennia informatsii. Vinnytsia, 2017. 76-80.
Dvulit, Z. P., and Onyshchenko, O. Yu. “Prohnozuvannia tendentsii rozvytku sotsialnoho media marketynhu v Ukraini“ [Predicting Trends of Social Media Marketing Development in Ukraine]. Naukovyi visnyk NLTU Ukrainy, vol. 28, no. 4 (2018): 41-45.
Zbrytska, T. P., and Tabanova, A. I. “Aktualnist vykorystannia instrumentiv sotsialnykh merezh v osvitnyomu protsesi“ [The Relevance of Using Social Networking Tools in the Educational Process]. Visnyk sotsialno-ekonomichnykh doslidzhen, no. 3 (67) (2018): 117-130.
Aral, S. “Introduction to the special issue - Social media and business transformation: A framework for research“. Information Systems Research, vol. 24, no. 1 (2013): 3-13.
Cao, G. “A scalable framework for spatio-temporal analysis of location-based social media data“. Preprint submitted to Computers, Environment and Urban Systems (2014): 1-25.
Chae, B. “Insights from hashtag #supplychain and twitter analytics: Considering Twitter and Twitter data for supply chain practice and research“. International Journal of Production Economics, vol. 165 (2015): 247-259.
Colleoni, E. “New forms of digital marketing research“. In The Routledge Companion to Digital Consumption, 124-134. Florence, KY: Routledge, 2013.
Coursaris, C., and Osch, W. “Organizational social media: A comprehensive framework and research agenda“. Proceedings of the 46th Hawaii International Conference on the System Sciences (HICSS), 2013. 700-707.
Edwards, C. “Is that a bot running the social media feed? Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter“. Computers in Human Behavior, vol. 33 (2014): 372-376.
Gao, H. “Towards online spam filtering in social networks“. Proceedings of the Symposium on Network and Distributed System Security (NDSS), 2012.
George, G. “Big data and management“. Academy of Management Journal, vol. 57, no. 2 (2014): 321-326.
Hennig-Thurau, T. “The impact of new media on customer relationship“. Journal of Service Research, vol. 13, no. 3 (2010): 311-330.
Hoffman, D. L., and Novak, T. P. “Why do people use social media?“ Empirical findings and a new theoretical framework for social media goal pursuit. 2012. http://ssrn.com/abstract=1989586
Hsiao, K. “Antecedents and consequences of trust in online product recommendations: An empirical study in social shopping“. Online Information Review, vol. 34, no. 6 (2010): 935-953.
Kane, G. “What's different about social media networks? A framework and research agenda“. MIS Quarterly, vol. 38, no. 1 (2014): 275-304.
Kaplan, M. “Users of the world, unite! The challenges and opportunities of social media“. Business Horizons, vol. 53, no. 1 (2010): 59-68.
Kietzman, J. H. “Social media? Get serious! Understanding the functional building blocks of social media“. Business Horizons, vol. 54 (2011): 241-251.
Kiron, D. et al. “Social Business: What Are Companies Really Doing?“ MIT Sloan Management Review 2012 Social Business Global Executive Study and Research Project.
Liu-Thompkins, Y. “Rising to stardom: An empirical investigation of the diffusion of user-generated content“. Journal of Interactive Marketing, vol. 26, no. 2 (2012): 71-82.
Morabito, V. Big data and analytics. Strategic and Organisational Impacts. Cham, Switzerland: Springer International Publishing, 2015.
Ngai, E. “Social media research: Theories, constructs, and conceptual frameworks“. International Journal of Information Management, vol. 35, no. 1 (2015): 33-44.
Peters, K. “Social media metrics - A framework and guidelines for managing social media“. Journal of Interactive Marketing, vol. 27 (2013): 281-298.
Scott, J. “Social Network Analysis“. In A Handbook. London: Sage, 1987.
Shneiderman, B. “Realising the value of social media requires innovative computing research“. Communications of the ACM, vol. 54, no. 9 (2011): 34-37.
Stieglitz, S., and Dang-Xuan, L. “Social media and political communication: a social media analytics framework“. Social Network Analysis and Mining, vol. 3, no. 4 (2013): 1277-1291.
Zhao, S. “Toward a taxonomy of copresence“. Presence: Teleoperators and Virtual Environments, vol. 12, no. 5 (2003): 445-455.
Vries, De L. “Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing“. Journal of Interactive Marketing, vol. 26, no. 2 (2012): 83-91.
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