Decoding synthetic news: an interpretable multimodal framework for the classification of news articles in a novel news corpus.

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Bibliographic Details
Title: Decoding synthetic news: an interpretable multimodal framework for the classification of news articles in a novel news corpus.
Authors: Schlee, Michael1,2, michael.schlee@stud.uni-goettingen.de, Kant, Gillian1,2, gillian.kant@stud.uni-goettingen.de, Ehrling, Christoph2, c.ehrling@fida.de, Säfken, Benjamin3, benjamin.saefken@tu-clausthal.de, Kneib, Thomas1, tkneib@uni-goettingen.de
Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-31, 31p
Database: Applied Science & Technology Source
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ISSN:02692821
DOI:10.1007/s10462-025-11188-9