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

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Authors: S M Ruhul Alam, Rifa Ferzana
Cited by: 0

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.

Fields of Study & Subjects

Ethics and Social Impacts of AI Sentiment Analysis and Opinion Mining Computational and Text Analysis Methods

Publication details

Journal / source
arXiv (Cornell University)
Publication date
30 January 2026
Language
EN
Document type
Preprint