Applied Sociolinguistic AI for Community Development (ASA-CD): A New Scientific Paradigm for Linguistically-Grounded Social Intervention

TL;DR

This paper introduces ASA-CD, a novel AI-based framework grounded in sociolinguistics for community development, utilizing linguistic biomarkers, NLP optimization, and a standardized intervention protocol to promote community empowerment.

Contribution

It presents a new scientific paradigm combining sociolinguistics and AI for community intervention, including biomarkers, NLP methods, and a five-phase protocol.

Findings

Associations between exclusionary language and negative sentiment identified

Simulated interventions show potential for improving community discourse

Framework supports scalable, ethical AI for social empowerment

Abstract

This paper establishes Applied Sociolinguistic AI for Community Development (ASA-CD) as a novel scientific paradigm for addressing community challenges through linguistically grounded, AI-enabled intervention. ASA-CD introduces three key contributions: (1) linguistic biomarkers as computational indicators of discursive fragmentation; (2) development-aligned natural language processing (NLP), an AI optimisation paradigm prioritising collective outcomes; and (3) a standardised five-phase protocol for discursive intervention. A proof-of-concept study, incorporating real-world and synthetic corpora, demonstrates systematic associations between exclusionary language and negative sentiment and simulates intervention-based improvements. ASA-CD provides a unified methodological, ethical and empirical framework for scalable, value-aligned AI in the service of community empowerment.