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How English Print Media Frames Human-Elephant Confl... | AI Research

Key Takeaways

  • How English Print Media Frames Human–Elephant Conflicts in India This research investigates how English-language news media in India portrays human-elephant...
  • 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.
  • 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.
Paper AbstractExpand

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.

How English Print Media Frames Human–Elephant Conflicts in India
This research investigates how English-language news media in India portrays human-elephant conflict (HEC). As habitat loss forces elephants and humans into closer contact, news reports serve as a primary source of information for the public. This study provides the first large-scale computational analysis of these media narratives, examining whether the language used in reporting creates a biased or fear-inducing image of elephants, which could ultimately hinder conservation efforts and public coexistence.

Analyzing Media Narratives

The researchers analyzed 1,968 full-length news articles published between January 2022 and September 2025. To understand how these articles frame elephants, the team developed a multi-model framework that combines large language models (LLMs) and long-context transformers. A key component of this approach is the "Negative Elephant Portrayal Lexicon" (NEPL), a curated list of words and phrases—such as "rogue," "menace," or "killer jumbo"—that are frequently used to depict elephants as aggressive or dangerous. By identifying these linguistic patterns, the study aims to uncover how media framing shifts the focus from ecological realities to sensationalized stories of conflict.

How the Methodology Works

The study uses a two-stage computational pipeline. First, it determines the overall sentiment of an article—classifying it as positive, neutral, or negative. Second, it extracts specific "rationale sentences" that explain why the model reached that sentiment conclusion. To ensure accuracy, the researchers validated their findings against a manual annotation study conducted by linguistic experts. This process allowed the team to move beyond simple keyword counting and instead capture the implicit ways that news outlets frame elephants as threats, even when the tone of the article appears to be standard journalism.

Key Findings and Implications

The analysis reveals a clear dominance of fear-inducing and aggression-related language in the reporting. The researchers found that media narratives often attribute human-like intentionality to elephants, framing them as "attackers" rather than animals responding to environmental pressures like habitat loss or blocked migration paths. By consistently using sensational labels, these reports risk reinforcing public hostility toward wildlife. The study suggests that this type of framing can undermine coexistence-oriented policies and distort public understanding of the ecological factors driving these conflicts.

Considerations for Future Reporting

The authors emphasize that media framing is not just a matter of word choice; it is a powerful tool that shapes public attitudes and conservation policy. While the Ministry of Environment, Forest and Climate Change has previously issued advisories to avoid dehumanizing or sensational language, the study indicates that these efforts have had limited impact. By providing a transparent, scalable methodology and a public repository of their resources, the researchers hope to encourage more responsible wildlife reporting that situates conflict within its broader ecological and socio-political context, ultimately fostering empathy and more effective, evidence-based conservation strategies.

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