Chapter 16: Measuring moral values from email
Peter Gloor https://orcid.org/0000-0002-7271-3224
Category:
Chapter
Published:
20 Oct 2022
Page Range:
169–172
Collection:
Business 2022
DOI:
https://doi.org/10.4337/9781803924021.00023
Keywords:
Email analysis; Moral values; Personality characteristics; Machine learning
Restricted access

Moral values and personality characteristics can be computed from honest signals in emails and other interaction archives. Based on a combination of structural and dynamic social network metrics such as degree and betweenness centralities, and oscillation in betweenness centrality, a machine learning model can predict FFI personality characteristics, moral foundations, Schwartz values, and risk-taking attitudes.

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Cover Happimetrics
Happimetrics
Monograph Book
Published:
20 Oct 2022
Print ISBN:
9781803924014
eISBN:
9781803924021
DOI:
https://doi.org/10.4337/9781803924021
Pages:
236
Collection:
Business 2022
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