A comprehensive review on fake news detection with deep learning
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
struggling to obtain effective solutions for detecting online-based fake news. It is quite …
Health misinformation detection in the social web: an overview and a data science approach
S Di Sotto, M Viviani - … Journal of Environmental Research and Public …, 2022 - mdpi.com
The increasing availability of online content these days raises several questions about
effective access to information. In particular, the possibility for almost everyone to generate …
effective access to information. In particular, the possibility for almost everyone to generate …
A deep learning-based fast fake news detection model for cyber-physical social services
With the prevalence of social network service in cyber-Physical space, flow of various fake
news has been a rough issue for operators of social service. Although many theoretical …
news has been a rough issue for operators of social service. Although many theoretical …
An ensemble machine learning approach through effective feature extraction to classify fake news
S Hakak, M Alazab, S Khan, TR Gadekallu… - Future Generation …, 2021 - Elsevier
There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …
which people can easily access the news. It is due to the availability of these platforms that …
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT
The progressive growth of today's digital world has made news spread exponentially faster
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …
Self-attention ConvLSTM and its application in RUL prediction of rolling bearings
Traditional long short-term memory (LSTM) neural networks generally face the challenge of
low training efficiency and poor prediction accuracy for the remaining useful life (RUL) …
low training efficiency and poor prediction accuracy for the remaining useful life (RUL) …
Senti‐eSystem: a sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction
MZ Asghar, F Subhan, H Ahmad… - Software: Practice …, 2021 - Wiley Online Library
In the competing era of online industries, understanding customer feedback and satisfaction
is one of the important concern for any business organization. The well‐known social media …
is one of the important concern for any business organization. The well‐known social media …
Big data ML-based fake news detection using distributed learning
A Altheneyan, A Alhadlaq - IEEE Access, 2023 - ieeexplore.ieee.org
Users rely heavily on social media to consume and share news, facilitating the mass dis-
semination of genuine and fake stories. The proliferation of misinformation on various social …
semination of genuine and fake stories. The proliferation of misinformation on various social …
Fake news classification based on content level features
Due to the openness and easy accessibility of online social media (OSM), anyone can easily
contribute a simple paragraph of text to express their opinion on an article that they have …
contribute a simple paragraph of text to express their opinion on an article that they have …
A review on rumour prediction and veracity assessment in online social network
D Varshney, DK Vishwakarma - Expert Systems with Applications, 2021 - Elsevier
In the present era, the social network is used as an important medium for sharing thoughts
and opinions of an individual. The main reason behind this is, it provides a fast-spreading of …
and opinions of an individual. The main reason behind this is, it provides a fast-spreading of …