Computational Behavioral Linguistics: A Longitudinal Framework for the Analysis of Behavioral Patterns in Human and AI Language
Abstract
This document presents the research program "Computational Behavioral Linguistics", a methodological framework for analyzing behavioral patterns in human and AI-generated language. The project introduces a large-scale linguistic feature system and longitudinal analysis of language model outputs across multiple measurement points. The framework combines stylometric feature extraction, principal component analysis, and structural equation modeling to investigate dimensions of abstraction, authority, moral coercion, discursive violence and somatic intensity in language.
Fields of Study & Subjects
Authorship Attribution and Profiling
Computational and Text Analysis Methods
Discourse Analysis in Language Studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 March 2026
- Language
- DE