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This study introduces AIJIM, the Artificial Intelligence Journalism Integration Model—a novel conceptual model for integrating real-time AI into environmental journalism. AIJIM combines Vision Transformer-based hazard detection, crowdsourced validation with 252 validators, and automated reporting within a scalable, modular architecture. In a 2024 pilot on Mallorca using the NamicGreen platform, AIJIM analyzed 1,000 images and successfully identified 50 undocumented waste sites, achieving 85.4% detection accuracy, 89.7% validation agreement with expert annotations, and a 40% reduction in reporting latency. A dual-layer explainability approach ensures ethical transparency through fast CAM-based visual overlays and optional LIME-based box-level interpretations. Unlike conventional methods such as Data-Driven Journalism or AI Fact-Checking, AIJIM provides a transferable model for participatory, community-driven environmental reporting, advancing journalism, artificial intelligence, and sustainability in alignment with the UN Sustainable Development Goals and the EU AI Act.

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AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism

  • 会议论文

  • 发表日期：

    2026年

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  • Torsten Tiltack

摘要

This study introduces AIJIM, the Artificial Intelligence Journalism Integration Model—a novel conceptual model for integrating real-time AI into environmental journalism. AIJIM combines Vision Transformer-based hazard detection, crowdsourced validation with 252 validators, and automated reporting within a scalable, modular architecture. In a 2024 pilot on Mallorca using the NamicGreen platform, AIJIM analyzed 1,000 images and successfully identified 50 undocumented waste sites, achieving 85.4% detection accuracy, 89.7% validation agreement with expert annotations, and a 40% reduction in reporting latency. A dual-layer explainability approach ensures ethical transparency through fast CAM-based visual overlays and optional LIME-based box-level interpretations. Unlike conventional methods such as Data-Driven Journalism or AI Fact-Checking, AIJIM provides a transferable model for participatory, community-driven environmental reporting, advancing journalism, artificial intelligence, and sustainability in alignment with the UN Sustainable Development Goals and the EU AI Act.