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.
View on arXiv@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 } }
Comments on this paper