Do What You Say—Computing Personal Values Associated with Professions Based on the Words They Use
Year: 2025
Type: article
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.
Source: Algorithms
DOI: 10.3390/a18020072
Authors: Aditya Jha, Peter A Gloor
Institution: Massachusetts Institute of Technology
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,930
OpenAlex ID: W4407098104