Optimization and improvement of fake news detection using deep learning approaches for societal benefit-Reference-Cited by-同舟云学术

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Optimization and improvement of fake news detection using deep learning approaches for societal benefit

Published:2021-11 Issue:2 Volume:1 Page:100051
ISSN:2667-0968
Container-title:International Journal of Information Management Data Insights
language:en
Short-container-title:International Journal of Information Management Data Insights

Author:

Chauhan Tavishee,Palivela Hemant

Publisher

Elsevier BV

Reference54 articles.

1. Detecting opinion spams and fake news using text classification;Ahmed;Security and Privacy,2018

2. Welcome to the era of fake news;Albright;Media and Communication,2017

3. Detecting fake news with machine learning method;Aphiwongsophon,2018

4. Fake news detection using bi-directional LSTM-recurrent neural network;Bahad;Procedia Computer Science,2019

5. Natural language processing applications in business;Bahja,2020

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1. Evaluating Machine Learning Approaches for Detecting Fake News on Social Media;2024-05-08

2. Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18

3. Detection of fake news from social media using support vector machine learning algorithms;Measurement: Sensors;2024-04

4. Fake News Detection Using Deep Learning: A Systematic Literature Review;IEEE Access;2024

5. An Improved Fake News Detection Model Using Hybrid Time Frequency-Inverse Document Frequency for Feature Extraction and AdaBoost Ensemble Model as a Classifier;Journal of Advances in Information Technology;2024

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