Linguistic identification of fake news and pseudo-scientific views
DOI:
https://doi.org/10.18349/MagyarNyelv.2023.4.490Keywords:
fake news, pseudoscientific texts, automatic fake news detection, argumentation fallacies, strategies in language useAbstract
4th Subprogramme of the Science for the Hungarian Language National Programme of the Hungarian Academy of Sciences (MTA)
The paper intends to present the main characteristic features of the Subprogramme for Linguistic Identification of Fake News and Pseudo-scientific Views, part of the Science for the Hungarian Language National Programme of the Hungarian Academy of Sciences (MTA). The Subprogramme has started on the 1st of September 2022 and lasts until the 30th of November 2026. The project is implemented by the MTA-SZTE-DE Research Group for Theoretical Linguistics and Informatics. The research group has three aims: (1) to provide a solid, epistemological ground for the investigation of fake news and pseudoscientific texts, (ii) to diagnose the linguistic features and pragmatic strategies of fake news and pseudoscientific texts in the field of healthcare, and, (iii) to develop automatic fake news detection devices such as Android and iOS mobile phone applications as well as a browser extension. The research is unique in the sense that it involves processes of basic research, applied research, and technological innovations in one coherent project. The results may contribute to the unmasking of pseudoscientific communication and the radical reform of science communication.
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