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Big Data: New Organizational Opportunities And Social Risks
[Big Data: Новые Организационные Возможности И Социальные Риски]

Author

Listed:
  • Leila Sh. Krupenikova (Крупеникова Л.Ш.)

    (Southern Federal University)

  • Vladimir I. Kurbatov (Курбатов В.И.)

    (South-Russian Branch of Federal Research Sociological Center of the Russian Academy of Sciences)

Abstract

The article is devoted to an analytical review of the results of the application of "Big Data" ("Big Data") by various international companies and a review of expert assessments, in accordance with which the possibilities of using large data arrays as sociological information and, at the same time, sociocultural challenges, problems associated with information, which can be selected from biased samples, the risks associated with the use of private information and personal data for other purposes, in particular to create false news, distorted official statistics, to falsify polls and elections.

Suggested Citation

  • Leila Sh. Krupenikova (Крупеникова Л.Ш.) & Vladimir I. Kurbatov (Курбатов В.И.), 2022. "Big Data: New Organizational Opportunities And Social Risks [Big Data: Новые Организационные Возможности И Социальные Риски]," State and Municipal Management Scholar Notes, Russian Presidential Academy of National Economy and Public Administration, vol. 2, pages 247-251.
    • Handle: RePEc:rnp:smmscn:s22231
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    Citations

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    Cited by:

    1. Tarakashar Das & Sabrina Mobassirin & Syed Md. Minhaz Hossain & Aka Das & Anik Sen & Khaleque Md. Aashiq Kamal & Kaushik Deb, 2024. "Patient Questionnaires Based Parkinson’s Disease Classification Using Artificial Neural Network," Annals of Data Science, Springer, vol. 11(5), pages 1821-1864, October.
    2. Bo Li & Guangle Du, 2024. "Reaction Function for Financial Market Reacting to Events or Information," Annals of Data Science, Springer, vol. 11(4), pages 1265-1290, August.

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