Editorial: Semantic Algorithms in the Assessment of Attitudes and Personality

Arnulf, J. K., Larsen, K. R., Martinsen, Ø. L., & Nimon, K. F. (2021). Editorial: Semantic Algorithms in the Assessment of Attitudes and Personality. Frontiers in Psychology, 12(3046). doi:10.3389/fpsyg.2021.720559

3 Pages Posted: 25 Aug 2021

See all articles by Jan Ketil Arnulf

Jan Ketil Arnulf

BI Norwegian Business School

Kai R. Larsen

Leeds School of Business; Information Systems Group; Gallup

Oyvind Martinsen

University of Colorado at Boulder

Kim Nimon

University of North Texas

Date Written: July 23, 2021

Abstract

The methodological tools available for psychological and organizational assessment are rapidly advancing through natural language processing (NLP). Computerized analyses of texts are increasingly available as extensions of traditional psychometric approaches. The present Research Topic is recognizing the contributions but also the challenges in publishing such inter-disciplinary research. We therefore sought to provide an open-access avenue for cutting-edge research to introduce and illustrate the various applications of semantics in the assessment of attitudes and personality. The result is a collection of empirical contributions spanning from assessment of psychological states through methodological biases to construct identity detection.

Keywords: Text algorithms; Personality; Clinical psychology; Organizational behavior; Likert scales; Social medial

Suggested Citation

Arnulf, Jan Ketil and Larsen, Kai R. and Martinsen, Oyvind and Nimon, Kim, Editorial: Semantic Algorithms in the Assessment of Attitudes and Personality (July 23, 2021). Arnulf, J. K., Larsen, K. R., Martinsen, Ø. L., & Nimon, K. F. (2021). Editorial: Semantic Algorithms in the Assessment of Attitudes and Personality. Frontiers in Psychology, 12(3046). doi:10.3389/fpsyg.2021.720559, Available at SSRN: https://ssrn.com/abstract=3892074

Jan Ketil Arnulf (Contact Author)

BI Norwegian Business School ( email )

Nydalsveien 37
Oslo, 0442
Norway

Kai R. Larsen

Leeds School of Business; Information Systems Group ( email )

995 Regent Dr.
Boulder, CO 80309-0419
United States

Gallup ( email )

901 F St NW
Washington, DC 20004
United States

Oyvind Martinsen

University of Colorado at Boulder ( email )

1070 Edinboro Drive
Boulder, CO 80309
United States

Kim Nimon

University of North Texas

1155 Union Circle #305340
No Address Available

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