FakeTouch: Machine Learning Based Framework for Detecting Fake News-Reference-Cited by-同舟云学术

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FakeTouch: Machine Learning Based Framework for Detecting Fake News

Published:2022 Issue: Volume: Page:317-334
ISSN:1860-949X
Container-title:Big Data Intelligence for Smart Applications
language:
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Author:

Siddikk Abu Bakkar,Lia Rifat Jahan,Muntasir Md. Fahim,Rahman Sheikh Shah Mohammad Motiur,Arman Md. Shohel,Jahan Mahmuda Rawnak

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87954-9_15

Reference38 articles.

1. A.P.S. Bali, M. Fernandes, S. Choubey, M. Goel, Comparative performance of machine learning algorithms for fake news detection, in International Conference on Advances in Computing and Data Sciences (Springer, Singapore, 2019), pp. 420–430

2. T. Antipova, (ed.), Integrated Science in Digital Age 2020 (Springer, 2020)

3. M. Granik, V. Mesyura, Fake news detection using naive Bayes classifier, in 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON) (IEEE, 2017), pp. 900–903

4. W.Y. Wang, liar, liar pants on fire: a new benchmark dataset for fake news detection (2017). arXiv:1705.00648

5. S.B.S. Mugdha, S.M. Ferdous, A. Fahmin, Evaluating machine learning algorithms for bengali fake news detection, in 2020 23rd International Conference on Computer and Information Technology (ICCIT) (IEEE, 2020), pp. 1–6

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1. Fake News Detector Using Machine Learning;Lecture Notes in Networks and Systems;2024

2. A Machine Learning-Based Approach for Sentiment Analysis of Movie Reviews on a Bangladeshi OTT Platform;Intelligent Computing and Optimization;2023

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