用AI自动生成讨论质量评估语句，省去人工编写耗时。
Automatic generation of DRI Statements
- 用大模型自动生成符合标准的讨论语句
- 降低研究者准备调查问卷的投入成本
- 适合社会科学研究者快速开展决策分析
评估群体讨论质量对理解协商过程至关重要。德尔斐推理指数（DRI）提供了评估群体推理的精细化指标，但其应用受限于语句生成过程复杂且耗时。本论文提出一种基于自然语言处理与大语言模型的自动化DRI语句生成方法，显著减少问卷准备中的人工投入。核心贡献包括一套系统化的自动语句生成框架，以及一种大幅降低全面评估门槛的方法创新。此外，研究成果为将生成式人工智能整合进社会科学方法论提供了可复现模板。
原文摘要 · Abstract (English)
Assessing the quality of group deliberation is essential for improving our understanding of deliberative processes. The Deliberative Reason Index (DRI) offers a sophisticated metric for evaluating group reasoning, but its implementation has been constrained by the complex and time-consuming process of statement generation. This thesis introduces an innovative, automated approach to DRI statement generation that leverages advanced natural language processing (NLP) and large language models (LLMs) to substantially reduce the human effort involved in survey preparation. Key contributions are a systematic framework for automated DRI statement generation and a methodological innovation that significantly lowers the barrier to conducting comprehensive deliberative process assessments. In addition, the findings provide a replicable template for integrating generative artificial intelligence into social science research methodologies.
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