Big Data: Challenges and Opportunities in Social Sciences
Platonova Svetlana Ipatovna
Izhevsk State Agricultural Academy
Submitted: 14.03.2020
Abstract. The article considers application of big data in modern social studies. The author not only describes the basic characteristics of big data but examines the challenges associated with them. These challenges influence cardinally the process of cognition and lead to radical revision of the social reality models. According to the author, big data are just traces of human activity that require interpretation, placement in a certain social context, attribution to a social theory.
Key words and phrases: большие данные, социальная теория, социальное знание, эпистемология, социальная онтология, big data, social theory, social knowledge, epistemology, social ontology
Open the whole article in PDF format. Free PDF-files viewer can be downloaded here.
References:
Bauman Z., Donskis L. Tekuchee zlo: zhizn' v mire, gde net al'ternativ. SPb.: Izd-vo Ivana Limbakha, 2019. 296 s.
Bozhkov O. B. "Bol'shaya sotsiologiya: rasshirenie prostranstva dannykh" // Sotsiologicheskii zhurnal. 2015. T. 21. № 1. S. 181-184.
Volkov V. V., Skugarevskii D. A., Titaev K. D. Problemy i perspektivy issledovanii na osnove Big Data (na primere sotsiologii prava) // Sotsiologicheskie issledovaniya. 2016. № 1 (381). S. 48-58.
Guba E. Bol'shie dannye v sotsiologii: novye dannye, novaya sotsiologiya? // Sotsiologicheskoe obozrenie. 2018. T. 17. № 1. S. 213-236.
Kont O. Dukh pozitivnoi filosofii. Rostov n/D: Feniks, 2003. 256 s.
Platonova S. I. Paradigmal'nyi kharakter sotsial'nogo znaniya. Izhevsk: FGBOU VPO "Izhevskaya GSKhA", 2014. 296 s.
Platonova S. I. Epistemicheskie ob"ekty i sotsial'nye otnosheniya v sovremennom obshchestve // Vestnik Leningradskogo gosudarstvennogo universiteta im. A. S. Pushkina. 2018. № 3-1. S. 114-123.
Anderson C. The End of Theory: The Data Deluge Makes the Scientific Method Obsolete [Elektronnyi resurs] // Wired. 2008. 23 June. URL: https://www.wired.com/2008/06/pb-theory/ (data obrashcheniya: 25.11.2019).
Calude C. S., Longo J. The Deluge of Spurious Correlations in Big Data // Foundations of Science. 2017. Vol. 22. № 3. P. 595-612.
Chandler D. A World without Causation: Big Data and the Coming of Age of Posthumanism // Millennium: Journal of International Studies. 2015. Vol. 43. № 3. P. 833-851.
Kitchin R. Big Data and Human Geography: Opportunities, Challenges and Risks // Dialogues in Human Geography. 2013. Vol. 3. № 3. P. 262-267.
Kitchin R. Big Data, New Epistemologies and Paradigm Shifts // Big Data & Society. 2014. Vol. 1. № 1. P. 1-12.
Latour B., Jensen P., Venturini T., Grauwin S. and Boullier D. ‘The Whole Is Always Smaller than Its Parts’ - a Digital Test of Gabriel Tardes’ Monads // The British Journal of Sociology. 2012. Vol. 63. № 4. P. 590-615.
Resnyansky L. Conceptual frameworks for social and cultural Big Data analytics: Answering the epistemological challenges // Big Data & Society. 2019. Vol. 6. № 1. P. 1-12.
Steadman I. Big Data and the Death of the Theorist [Elektronnyi resurs] // Wired. 2013. 25 January. URL: https://www.wired.co. uk/article/big-data-end-of-theory (data obrashcheniya: 25.11.2019).
Szalay A., Gray J. 2020 Computing: Science in an Exponential World // Nature. 2006. Vol. 440. P. 413-414.