人工智能新闻报道的情感与主题特征研究：以《China Daily》为例

Sentiment and Thematic Features of Artificial Intelligence News Reporting: A Case Study of China Daily

摘要: 本研究基于《China Daily》2024年7月至2025年7月间关于人工智能(AI)的英文报道，采用小词典法情感分析与主题分析相结合的方式，系统考察其情感倾向与主题特征。语料来自Dow Jones Factiva数据库，研究利用Python实现自动化情感识别与统计，并结合语义聚类进行主题归纳。结果显示，《China Daily》的AI报道在过去一年中整体呈积极取向，高频词集中于“创新、突破、合作”等语义领域，主要主题包括技术创新与产业应用、伦理治理与政策引导、社会影响与教育变革、国际合作与中国贡献。报道亦关注技术风险与规范议题，呈现出兼具建设性与理性的传播风格。研究揭示了英文媒体在最新科技话语传播中的价值导向与叙事策略。

Abstract: This study examines China Daily’s English reports on artificial intelligence (AI) from July 2024 to July 2025, using lexicon-based sentiment analysis and thematic clustering. Data from the Dow Jones Factiva database were processed with Python for sentiment detection and theme extraction. Results show a strongly positive tone, with frequent use of terms such as “innovation,” “breakthrough,” and “collaboration”. Four major themes emerge: technological innovation, ethical governance, social transformation, and international cooperation featuring China’s contributions. While acknowledging risks and regulation, China Daily maintains a constructive and rational communication style, reflecting Chinese English-language media’s value orientation in global AI discourse.