Two-Way Truth Seeker: A Hybrid Method Using LSTM and BiLSTM to Recognize and Classify Fake News

In the era of digitization, news spreads, which has turned out to be a big challenge because people seem to be being systematically misinformed. This lowers the credibility of information given on the web and brings threats against social stability BiLSTM and LSTM fusion for fake news classification...

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Bibliografische Detailangaben

Hauptverfasser:	Harika Juturu, Jakeer Hussain Shaik
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	EDP Sciences 2024-01-01
Schriftenreihe:	E3S Web of Conferences
Schlagworte:	fake news detection deep learning lstm bilstm ensemble model natural language processing sentimental analysis
Online-Zugang:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/121/e3sconf_icrera2024_08003.pdf
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