KazFakeCorpus: A Bilingual Corpus with Multi-Level Semantic Annotation for Fake News Detection

This paper addresses the lack of bilingual annotated resources for automatic fake news detection in the Kazakh–Russian media space, as well as the limitations of binary annotation, which does not always allow disinformation to be represented as a complex and interpretable phenomenon. The aim of the...

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Bibliographic Details

Published in:	Big Data and Cognitive Computing
Main Authors:	Zhanar Lamasheva, Anargul Nekessova, Mansiya Kantureyeva, Madina Sambetbayeva, Mira Kaldarova, Aksaule Nazymkhan
Format:	Article
Language:	English
Published:	MDPI AG 2026-06-01
Subjects:	fake news detection bilingual corpus multi-level semantic annotation disinformation analysis interpretable machine learning
Online Access:	https://www.mdpi.com/2504-2289/10/6/183