Big data analysis in psychology and social sciences: perspective directions of research

 
PIIS020595920007306-2-1
DOI10.31857/S020595920007306-2
Publication type Article
Status Published
Authors
Occupation: head of the laboratory of social and economic psychology
Affiliation: Federal State-financed Establishment of Science, Institute of Psychology RAS
Address: Moscow, Yaroslavskaya str., 13
Occupation: scientific supervisor of the Institute of Psychology of the Russian Academy of Sciences
Affiliation: Institute of Psychology RAS
Address: Russian Federation
Journal namePsikhologicheskii zhurnal
EditionVolume 40 issue 6
Pages5-17
Abstract

The consequences of Big Data revolutionfor psychology and social sciences are analyzed.The article presents an overview of the four types of psychological research based on the Big Data analysis: secondary data analysis; crowdsourcing projects and matching of personal digital footprints of social network users with data of psychometric questionnaires; research of psychological phenomena based on network analysis, natural language processing and machine learning without surveys; natural experiments and data gathering by portable gadgets. A special attention is paid to psychological profiling of personality by digital footprints. The perspective directions for further research of dynamics in socio-psychological phenomena at the personal, interpersonal, group, and macro-social levels with applying computer linguistic and visual data analysis are proposed. The psychological and social risks of Big Data based technologies adoption in the everyday life of society are discussed.

KeywordsBig Data, digital footprints, visual data, social networks, group dynamics, macro-psychological indicators, risks.
AcknowledgmentThe research was supported by RSF grant №18-18-00439
Received24.10.2019
Publication date21.11.2019
Number of characters35928
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