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| | license: apache-2.0 |
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| | Model Details |
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| | Developed by: Faculty of Economics and Business, University of Rijeka |
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| | Funding: National Recovery and Resilience Plan, University of Rijeka (Grant No. uniri-mladi-drustv-23-52) |
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| | Models included: FastText, NBSVM, BiGRU, BERT, DistilBERT, BERTić (fine-tuned on Croatian-translated datasets) |
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| | Languages: Croatian (hr) |
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| | Intended domain: Economic news and disinformation detection |
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| | Intended Use |
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| | These models are released for research and educational purposes. They are designed to support the detection of economic disinformation in Croatian-language texts and should be used to: |
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| | Benchmark model performance across architectures. |
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| | Explore methods of adapting multilingual and regional models for specialized domains. |
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| | Support further academic research on fake news detection, economic disinformation, and AI ethics. |
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| | Limitations |
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| | Translation bias: The datasets were translated from English to Croatian. While validated by bilingual experts, subtle semantic shifts may affect results. |
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| | Annotation consistency: Original labels were preserved, but cultural and contextual interpretation in Croatian media may differ. |
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| | Generalizability: Models trained on specific corpora may not perform equally well on real-world, evolving disinformation patterns. |
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| | Resource demands: Transformer-based models (BERT, BERTić) require more computational resources compared to lighter models. |
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| | Ethical Considerations |
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| | Bias risks: Users should be aware that linguistic and cultural nuances may introduce bias into classification outcomes. |
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| | Potential misuse: These models could be misapplied for surveillance, censorship, or discrediting legitimate journalism. They are not intended for such purposes. |
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| | Responsible AI: Use of the models should follow principles of transparency, fairness, and accountability, in line with the EU AI Act. |
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| | Recommendations |
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| | Use the models only in non-commercial, academic, or public-good contexts. |
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| | Validate results with human expertise, especially in sensitive applications. |
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| | Cite this work when using the models in research outputs. |
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| | Report any observed errors, biases, or misuse to the maintainers. |
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| | Citation |
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| | If you use these models, please cite the associated paper: |
| | Buterin, V., Čišić, D., & Gržeta, I. (2025). Combating Economic Disinformation with AI: Insights from the EkonInfoChecker Project. |
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