LeDoFAN: enhancing lengthy document fake news identification leveraging large language models and explainable window-based transformers with n-gram expulsion
Crossref DOI link: https://doi.org/10.1007/s13042-025-02635-8
Published Online: 2025-05-04
Published Print: 2025-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
LekshmiAmmal, Hariharan RamakrishnaIyer
Madasamy, Anand Kumar
Text and Data Mining valid from 2025-05-04
Version of Record valid from 2025-05-04
Article History
Received: 5 April 2024
Accepted: 3 April 2025
First Online: 4 May 2025
Declarations
:
: The authors declare that they have no conflict of interest.
: Not applicable.