A novel approach to fake news classification using LSTM-based deep learning models

A novel approach to fake news classification using LSTM-based deep learning models

The rapid dissemination of information has been accompanied by the proliferation of fake news, posing significant challenges in discerning authentic news from fabricated narratives. This study addresses the urgent need for effective fake news detection mechanisms. The spread of fake news on digital...

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Bibliographic Details
Main Authors: Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Big Data
Subjects:
misinformation
disinformation
fake news
deep learning
LSTM
BiLSTM
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2023.1320800/full

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