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(Un)Natural Language: An Art Software Identifies Potential Ecological Threats in Documents
DescriptionThis paper introduces (Un)Natural Language, an artistic computational system that examines how words shape ecological narratives, detecting potential ecological threats in government water-related project documents. Weaving together machine learning, environmental activism, and linguistics, the system offers a new analytical lens for interpreting public documents, uncovering hidden narratives of economic expansion and extractivism. Through a custom-labeled dataset and a fine-tuned BERT model, it reveals and visualizes patterns of pro-growth and ecologically detrimental discourse. Developed into an interactive online archive and installation series, the project reclaims computation as a space for reflection rather than control—inviting viewers to rethink the language shaping our ecological futures.