Do What You Say—Computing Personal Values Associated with Professions Based on the Words They Use
Name
algorithms-18-00072-v2.pdf
Size
4.86 MB
Format
Adobe PDF
Checksum (MD5)
97953987bfa9b05a2fbe8f70daeab597
Author(s)
Jha, Aditya
Gloor, Peter A.
Date Issued
February 1, 2025
Journal
Algorithms
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Jha, A.; Gloor, P.A. Do What You Say—Computing Personal Values Associated with Professions Based on the Words They Use. Algorithms 2025, 18, 72.
Version
Final published version
Abstract
Members of a profession frequently show similar personality characteristics. In this research, we leverage recent advances in NLP to compute personal values using a moral values framework, distinguishing between four different personas that assist in categorizing different professions by personal values: “fatherlanders”—valuing tradition and authority, “nerds”—valuing scientific achievements, “spiritualists”—valuing compassion and non-monetary achievements, and “treehuggers”—valuing sustainability and the environment. We collected 200 YouTube videos and podcasts for each professional category of lawyers, academics, athletes, engineers, creatives, managers, and accountants, converting their audio to text. We also categorize these professions by team player personas into “bees”—collaborative creative team players, “ants”—competitive hard workers, and “leeches”—selfish egoists using pre-trained models. We find distinctive personal value profiles for each of our seven professions computed from the words that members of each profession use.
MIT Department
System Design and Management Program.
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/a18020072
