Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

A systematic literature review and existing challenges toward fake news detection models

M Nirav Shah, A Ganatra - Social Network Analysis and Mining, 2022 - Springer
Emerging of social media creates inconsistencies in online news, which causes confusion
and uncertainty for consumers while making decisions regarding purchases. On the other …

Detecting and mitigating the dissemination of fake news: Challenges and future research opportunities

W Shahid, B Jamshidi, S Hakak, H Isah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Fake news is a major threat to democracy (eg, influencing public opinion), and its impact
cannot be understated particularly in our current socially and digitally connected society …

Deep fake news detection system based on concatenated and recurrent modalities

A Sedik, AA Abohany, KM Sallam… - Expert Systems with …, 2022 - Elsevier
With the rise in popularity of social media platforms and online forums, they have become a
global source of news. Fake News (FNs) spreading through numerous institutions and …

Indonesian hoax news classification with multilingual transformer model and BERTopic

LB Hutama, D Suhartono - Informatica, 2022 - informatica.si
Technology and information growth make all internet users can play a role in disseminating
information, including hoax news. One way that can be done to avoid hoax news is to look …

The relationship of artificial intelligence (AI) with fake news detection (FND): a systematic literature review

A Iqbal, K Shahzad, SA Khan… - … Knowledge, Memory and …, 2023 - emerald.com
Purpose The purpose of this study is to identify the relationship between artificial intelligence
(AI) and fake news detection. It also intended to explore the negative effects of fake news on …

Transformer-based models for combating rumours on microblogging platforms: a review

R Anggrainingsih, GM Hassan, A Datta - Artificial Intelligence Review, 2024 - Springer
The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …

Fake news detection system using featured-based optimized msvm classification

R Katarya, D Dahiya, S Checker - IEEE Access, 2022 - ieeexplore.ieee.org
Fake News creates erroneous suspense information that can be identified. This spreads
dishonesty about a country's status or overstates the expense of special functions for a …

An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection

AA Abd El-Mageed, AA Abohany, AH Ali, KM Hosny - Journal of Big Data, 2024 - Springer
Online platforms and social networking have increased in the contemporary years. They are
now a major news source worldwide, leading to the online proliferation of Fake News (FNs) …

Fake News Detection Using Deep Learning: A Systematic Literature Review

MQ Alnabhan, P Branco - IEEE Access, 2024 - ieeexplore.ieee.org
Nowadays, we witness rapid technological advancements in online communication
platforms, with increasing volumes of people using a vast range of communication solutions …