用AI分析语言碎片化，推动社区发展干预
Applied Sociolinguistic AI for Community Development (ASA-CD): A New Scientific Paradigm for Linguistically-Grounded Social Intervention
- 通过语言特征识别社区话语分裂
- 建立以集体福祉为导向的AI优化模型
- 提供可复制的五阶段语言干预流程
本文提出应用于社区发展的应用社会语言学人工智能（ASA-CD），作为一种通过语言基础、AI驱动的干预新科学范式。其核心贡献包括：(1) 将语言特征作为话语碎片化的计算指标；(2) 发展以集体目标对齐为导向的自然语言处理技术；(3) 建立标准化的五阶段话语干预流程。一项概念验证研究结合真实与合成语料库，揭示排斥性语言与负面情绪间的系统性关联，并模拟了干预后的改善效果。ASA-CD为可扩展、价值对齐的智能技术赋能社区提供了统一的方法论、伦理和实证框架。
原文摘要 · Abstract (English)
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.
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