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AIJIM: A Theoretical Model for Real-Time, Crowdsourced Environmental Journalism with AI

Main:19 Pages
11 Figures
Bibliography:3 Pages
6 Tables
Abstract

Environmental journalism is vital for raising awareness of ecological crises and supporting evidence-based policy, yet traditional methods suffer from delays, limited scalability, and lack of coverage in under-monitored regions. This paper introduces the Artificial Intelligence Journalism Integration Model (AIJIM), a conceptual and transferable theoretical model that structures real-time, AI-supported environmental journalism workflows.

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@article{tiltack2025_2503.17401,
  title={ AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism },
  author={ Torsten Tiltack },
  journal={arXiv preprint arXiv:2503.17401},
  year={ 2025 }
}
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