Computational Behavioral Linguistics: A Longitudinal Framework for the Analysis of Behavioral Patterns in Human and AI Language

Read full text
Authors: Kathrin Preuss
Cited by: 0

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