Fake news, disinformation and misinformation in social media: a review
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …
kinds of global and local news for millions of users. However, OSNs are a double-edged …
An ensemble machine learning approach through effective feature extraction to classify fake news
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 …
An evolutionary fake news detection method for covid-19 pandemic information
As the COVID-19 pandemic rapidly spreads across the world, regrettably, misinformation
and fake news related to COVID-19 have also spread remarkably. Such misinformation has …
and fake news related to COVID-19 have also spread remarkably. Such misinformation has …
[HTML][HTML] Using artificial intelligence techniques for detecting Covid-19 epidemic fake news in Moroccan tweets
During the covid-19 pandemic, a considerable amount of data travels fast worldwide on the
net, mainly on the social media platform where people all over the world have constant and …
net, mainly on the social media platform where people all over the world have constant and …
Effect of corpora on classification of fake news using naive Bayes classifier
At the present world, one of the main sources of the news is an online platform like different
websites and social media ie Facebook, Twitter, Linkedin, Youtube, Instagram and so on …
websites and social media ie Facebook, Twitter, Linkedin, Youtube, Instagram and so on …
Under the Influence: A Survey of Large Language Models in Fake News Detection
Research into fake news detection has a long history, although it gained significant attention
following the 2016 US election. During this time, the widespread use of social media and the …
following the 2016 US election. During this time, the widespread use of social media and the …
Deep ensemble fake news detection model using sequential deep learning technique
Recently, fake news has been widely spread through the Internet due to the increased use
of social media for communication. Fake news has become a significant concern due to its …
of social media for communication. Fake news has become a significant concern due to its …
Topic modeling and sentiment analysis of online education in the COVID-19 era using social networks based datasets
Sentiment Analysis (SA) is a technique to study people's attitudes related to textual data
generated from sources like Twitter. This study suggested a powerful and effective technique …
generated from sources like Twitter. This study suggested a powerful and effective technique …
SaTYa: trusted Bi-LSTM-Based fake news classification scheme for smart community
P Bhattacharya, SB Patel, R Gupta… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article proposes a SaTya scheme that leverages a blockchain (BC)-based deep
learning (DL)-assisted classifier model that forms a trusted chronology in fake news …
learning (DL)-assisted classifier model that forms a trusted chronology in fake news …
Selective feature sets based fake news detection for COVID-19 to manage infodemic
During the COVID-19 pandemic, the spread of fake news became easy due to the wide use
of social media platforms. Considering the problematic consequences of fake news, efforts …
of social media platforms. Considering the problematic consequences of fake news, efforts …