AENeT: an attention-enabled neural architecture for fake news detection using contextual features

In the current era of social media, the popularity of smartphones and social media platforms has increased exponentially. Through these electronic media, fake news has been rising rapidly with the advent of new sources of information, which are highly unreliable. Checking off a particular news artic...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Neural computing & applications Ročník 34; číslo 1; s. 771 - 782
Hlavní autoři:	Jain, Vidit, Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik, Sharma, Yashvardhan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.01.2022 Springer Nature B.V
Témata:	Artificial Intelligence Classification Computational Biology/Bioinformatics Computational Science and Engineering Computer architecture Computer Science Data Mining and Knowledge Discovery Datasets Deep learning Digital media Embedding Image Processing and Computer Vision Metadata Neural networks News Original Original Article Probability and Statistics in Computer Science Search engines Semantics Smartphones Social networks Social research Deep learning Contextualized Features Neural Network Fake News Social Media
ISSN:	0941-0643, 1433-3058
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!