Content-based fake news detection with machine and deep learning: a systematic review

N Capuano, G Fenza, V Loia, FD Nota - Neurocomputing, 2023 - Elsevier
Fake news, which can be defined as intentionally and verifiably false news, has a strong
influence on critical aspects of our society. Manual fact-checking is a widely adopted …

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 …

Trends in combating fake news on social media–a survey

B Collins, DT Hoang, NT Nguyen… - Journal of Information …, 2021 - Taylor & Francis
Social media following its introduction has witnessed a lot of scholarly attention in recent
years due to its growing popularity. These various social media sites have become the …

Fake news detection: Taxonomy and comparative study

F Farhangian, RMO Cruz, GDC Cavalcanti - Information Fusion, 2024 - Elsevier
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …

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 …

A novel hybrid multi-thread metaheuristic approach for fake news detection in social media

G Yildirim - Applied Intelligence, 2023 - Springer
In fake news detection, intelligent optimization seems to be a more effective and explainable
solution methodology than the black-box methods that have been extensively used in the …

Twitter sentiment analysis-based adjustment of cryptocurrency action recommendation model for profit maximization

J Park, YS Seo - IEEE Access, 2023 - ieeexplore.ieee.org
Cryptocurrencies have recently attracted considerable attention, resulting in research mainly
on deep learning-based price prediction models to maximize profit. Two research …

A proposed Bi-LSTM method to fake news detection

T Islam, MDA Hosen, A Mony… - … for Advancement in …, 2022 - ieeexplore.ieee.org
Recent years have seen an explosion in social media usage, allowing people to connect
with others. Since the appearance of platforms such as Facebook and Twitter, such …

[PDF][PDF] A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset.

RK Kaliyar, A Goswami, P Narang - ICAART (2), 2021 - pdfs.semanticscholar.org
Due to the increasing number of users in social media, news articles can be quickly
published or share among users without knowing its credibility and authenticity. Fast …

Large language models for propaganda detection

K Sprenkamp, DG Jones, L Zavolokina - arXiv preprint arXiv:2310.06422, 2023 - arxiv.org
The prevalence of propaganda in our digital society poses a challenge to societal harmony
and the dissemination of truth. Detecting propaganda through NLP in text is challenging due …