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Identifying News Slant in Crisis Communication Using Artificial Intelligence
2023 - 2025
| Provider | International Visegrad Fund |
| Programme | Visegrad Grants |
| Project code | 22310057 |
| Participants | Centre for Social Sciences Institute for Political Science (coordinator), Faculty of Mathematics and Physics Charles University, Faculty of Social Sciences Charles University, Kempelen Institute of Intelligent Technologies |
| Principal investigator | Orsolya RING |
Project applies different text mining and natural language processing methods, including novel approaches based on language modelling and deep learning to develop a new model for identifying slants in online news and, in this way, promote resilience against biased reporting.
Project team of FSV UK (1)
Mgr. Jakub Stauber, Ph.D.
Co - investigator at FSV
+420 296 824 653
jakub.stauber@fsv.cuni.cz
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