Automated text analysis in psychology: state and prospects of world research

Occupation: Leading Researcher of Laboratory of History of Psychology and Historical Psychology
Affiliation: Institute of Psychology, Russian Academy of Sciences
Address: Russian Federation, Moscow

A. L. Zhuravlev

Occupation: Professor, Scientific Adviser of Institute of Psychology RAS
Affiliation: Institute of Psychology RAS
Address: Yaroslavskaya str., 13, building 1

Journal name

Psikhologicheskii zhurnal

Edition

Volume 43 Issue 2

Pages

105-115

Abstract

The paper notes that the widespread dissemination of information technologies actualizes the problem of transition to the automated analysis of “digital traces” on the Internet, presented in text formats. It is shown how this kind of analysis is used to identify various psychological properties and states of a person (individual social groups and society as a whole). It is noted that the development of digital footprint analysis technologies is characterized by two main trends. The first is related to the processing of objective data of an informational nature, which is useful for correlating them with the subjective characteristics of users. The second is associated with the direct search for subjective (psychological) information, which requires the use of laborious information and psychological procedures. As examples of this kind of research, the following works are cited: analysis of the dynamics of the most pressing problems in psychological science and in everyday communication of scientists or users of social networks; identification of psychological characteristics of a person and gender characteristics; predicting behavioral effects (exam results or new topics in psychology), etc. It also provides examples of the use of information technology analysis in various fields of psychology − economic, legal, clinical, as well as in the psychology of management, labor, art, media, etc. It is assumed that the presented analysis of foreign studies will be useful for the development of Russian psychology, and the study of “digital traces” in psychology can be partially qualified as a "paradigm shift" of the empirical study of social phenomena (with its own advantages and problems). In addition, automated methods can be important in detecting the macropsychological patterns of the development of society, in particular, in detecting connections between the mass psychological characteristics of the population and the prevailing socio-economic conditions for the development of a particular society.

Keywords

Internet, social networks, “digital footprints”, automated analysis, branches of psychology, research trends, social phenomena

Acknowledgment

The study was carried out with the financial support of the Russian Foundation for Basic Research within the framework of scientific project No. 20-113-50385

Received

17.08.2021

Publication date

11.05.2022

Number of characters

30332

Cite

GOST	Kitova D., Zhuravlev A. Automated text analysis in psychology: state and prospects of world research // Psikhologicheskii zhurnal – 2022. – V. 43. – Issue 2 C. 105-115 [Electronic resource]. URL: https://psy.jes.su/S020595920019417-4-1 (circulation date: 21.09.2023). DOI: 10.31857/S020595920019417-4
MLA	Kitova, D. A., Zhuravlev, A. L "Automated text analysis in psychology: state and prospects of world research." Psikhologicheskii zhurnal 43.2 (2022):105-115. DOI: 10.31857/S020595920019417-4
APA	Kitova D., Zhuravlev A. (2022). Automated text analysis in psychology: state and prospects of world research. Psikhologicheskii zhurnal 43(2), pp.105-115 DOI: 10.31857/S020595920019417-4

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