A comprehensive review on fake news detection with deep learning

MF Mridha, AJ Keya, MA Hamid, MM Monowar… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Social network analysis using deep learning: applications and schemes

AM Abbas - Social Network Analysis and Mining, 2021 - Springer
Online social networks (OSNs) are part of daily life of human beings. Millions of users are
connected through online social networks. Due to very large number of users and huge …

Fake news detection and classification using hybrid BiLSTM and self-attention model

A Mohapatra, N Thota, P Prakasam - Multimedia Tools and Applications, 2022 - Springer
Living in the twenty-first century, from shopping to reading news articles everything has
changed, everything has become online. Anyone can access most of everything with a …

Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe

L Abualigah, YY Al-Ajlouni, MS Daoud, M Altalhi… - Social Network Analysis …, 2024 - Springer
In the world of technology, the electronic and technical development of the fields of
communication and the internet has increased, which has caused a renaissance in the …

Using artificial intelligence against the phenomenon of fake news: a systematic literature review

MA Al-Asadi, S Tasdemir - Combating fake news with computational …, 2022 - Springer
Social networks like Facebook and Twitter have become an important way for people to
connect and share their thoughts. The most important feature of social networks is the rapid …

Fake news detection: a systematic literature review of machine learning algorithms and datasets

HF Villela, F Corrêa, JSAN Ribeiro… - Journal on …, 2023 - journals-sol.sbc.org.br
Fake news (ie, false news created to have a high capacity for dissemination and malicious
intentions) is a problem of great interest to society today since it has achieved …

Think fast, think slow, think critical: designing an automated propaganda detection tool

L Zavolokina, K Sprenkamp, Z Katashinskaya… - Proceedings of the CHI …, 2024 - dl.acm.org
In today's digital age, characterized by rapid news consumption and increasing vulnerability
to propaganda, fostering citizens' critical thinking is crucial for stable democracies. This …

Fake news detection for Arabic headlines-articles news data using deep learning.

H Najadat, M Tawalbeh… - International Journal of …, 2022 - search.ebscohost.com
Fake news has become increasingly prevalent in recent years. The evolution of social
websites has spurred the expansion of fake news causing it to a mixture with truthful …

Classification of fake news using multi-layer perceptron

R Jehad, SA Yousif - AIP Conference Proceedings, 2021 - pubs.aip.org
" Fake News (FNs) is defined as a made-up story to deceive or to mislead." The problem of
FNs spread widely in recent years, especially on social media such as Facebook, Twitter …

Automatic detection of fake news

P Nordberg, J Kävrestad, M Nohlberg - 6th International Workshop …, 2020 - diva-portal.org
Following the American presidential election in 2016, the terms” fake news” was popularized
and has since been a common term in the public vocabulary. While quite recently …