分析印度英文媒体如何负面刻画人象冲突，揭示恐惧行为语言主导报道。
How English Print Media Frames Human-Elephant Conflicts in India
- 用多模型框架分析1968篇新闻，识别负面表述模式。
- 发现恐惧与攻击性语言主导报道，强化公众敌意。
- 提供可复现方法，助力负责任的野生动物报道。
随着栖息地丧失和人类聚居区扩张，印度的人象冲突日益加剧。尽管生态驱动因素已有充分研究，但新闻媒体对这些冲突的叙事方式仍缺乏系统探讨。本研究首次开展大规模计算分析，基于2022年1月至2025年9月期间某主流英文媒体发布的1,968篇完整新闻文章（共28,986个句子），采用融合长上下文Transformer、大语言模型及领域专用负向大象表述词典的多模型情感分析框架，量化情感倾向，提取理由句，并识别导致大象负面形象的语言模式。结果表明，报道中恐惧诱导和攻击相关语言占主导地位。由于媒体报道会影响公众对野生动物的态度及保护政策，此类叙事可能加剧公众敌意，削弱共存努力。本研究通过公开透明、可扩展的方法与全部资源，展示网络规模文本分析在推动负责任野生动物报道和促进社会有益媒体实践中的潜力。
原文摘要 · Abstract (English)
Human-elephant conflict (HEC) is rising across India as habitat loss and expanding human settlements force elephants into closer contact with people. While the ecological drivers of conflict are well-studied, how the news media portrays them remains largely unexplored. This work presents the first large-scale computational analysis of media framing of HEC in India, examining 1,968 full-length news articles consisting of 28,986 sentences, from a major English-language outlet published between January 2022 and September 2025. Using a multi-model sentiment framework that combines long-context transformers, large language models, and a domain-specific Negative Elephant Portrayal Lexicon, we quantify sentiment, extract rationale sentences, and identify linguistic patterns that contribute to negative portrayals of elephants. Our findings reveal a dominance of fear-inducing and aggression-related language. Since the media framing can shape public attitudes toward wildlife and conservation policy, such narratives risk reinforcing public hostility and undermining coexistence efforts. By providing a transparent, scalable methodology and releasing all resources through an anonymized repository, this study highlights how Web-scale text analysis can support responsible wildlife reporting and promote socially beneficial media practices.
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