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Tibor Szécsényi

Biographic Data

ID9437554
NAMETibor Szécsényi
GIVEN NAMESTibor
FAMILY NAMESzécsényi
SIGNATURESZÉCSÉNYI T
AFFILIATIONSUniversity of Szeged
ORCID0000-0002-7679-8317
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The analysis of utterances with imperative forms in Hungarian health-related fake news

    Open Access•Anett Arvay, Katalin Nagy C et al.•ARTICLE•Linguistics Vanguard•2025

    This paper aims to contribute to the linguistic detecting of disinformation by providing a corpus-based form-to-function study of Hungarian health-related fake news. It starts from the hypothesis that there is a difference between fake and real news regarding the use of directives as a potential tool of exerting pressure on readers. The most direct and strongest strategy of performing directives in Hungarian is the use of a verb with an imperativ…

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  • The analysis of utterances with imperative forms in Hungarian health-related fake news

    Open Access•Anett Arvay, Katalin Nagy C et al.•ARTICLE•Linguistics Vanguard•2025

    This paper aims to contribute to the linguistic detecting of disinformation by providing a corpus-based form-to-function study of Hungarian health-related fake news. It starts from the hypothesis that there is a difference between fake and real news regarding the use of directives as a potential tool of exerting pressure on readers. The most direct and strongest strategy of performing directives in Hungarian is the use of a verb with an imperativ…

Artificial Intelligence (1 work) · Computer Science (1 work) · Directive (1 work) · Disinformation (1 work) · Hate Speech and Cyberbullying Detection (1 work) · Linguistics (1 work) · Misinformation and Its Impacts (1 work) · Natural language processing (1 work) · Philosophy (1 work) · Psychology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae