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 …

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

C Carrasco-Farré - Humanities and Social Sciences Communications, 2022‏ - nature.com
Not all misinformation is created equal. It can adopt many different forms like conspiracy
theories, fake news, junk science, or rumors among others. However, most of the existing …

[HTML][HTML] The influence of fake news on social media: analysis and verification of web content during the COVID-19 pandemic by advanced machine learning methods …

A Nistor, E Zadobrischi - Sustainability, 2022‏ - mdpi.com
The purpose of this research was to analyze the prevalence of fake news on social
networks, and implicitly, the economic crisis generated by the COVID-19 pandemic, as well …

Automating fake news detection using PPCA and levy flight-based LSTM

DK Dixit, A Bhagat, D Dangi - Soft Computing, 2022‏ - Springer
In recent years, rumours and fake news are spreading widely and very rapidly all over the
world. Such circumstances lead to the propagation and production of an inaccurate news …

Deep learning for fake news detection on Twitter regarding the 2019 Hong Kong protests

A Zervopoulos, AG Alvanou, K Bezas… - Neural Computing and …, 2022‏ - Springer
The dissemination of fake news on social media platforms is an issue of considerable
interest, as it can be used to misinform people or lead them astray, which is particularly …

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 …

Deep learning for fake news detection in a pairwise textual input schema

D Mouratidis, MN Nikiforos, KL Kermanidis - Computation, 2021‏ - mdpi.com
In the past decade, the rapid spread of large volumes of online information among an
increasing number of social network users is observed. It is a phenomenon that has often …

Evaluation and control of opinion polarization and disagreement: a review

Y Li, H Zhao - International Journal of Crowd Science, 2021‏ - ieeexplore.ieee.org
Purpose–The purpose of this paper is to review the recent studies on opinion polarization
and disagreement. Design/methodology/approach–In this work, recent advances in opinion …

Twitter'da makine öğrenmesi yöntemleriyle sahte haber tespiti

M Kayakuş, FY Açıkgöz - Abant Sosyal Bilimler Dergisi, 2023‏ - dergipark.org.tr
Gelişen teknolojik olanaklara bağlı olarak iletişim alanında da önemli değişiklikler
yaşanmıştır. İnternetin yaygınlaşması ile geleneksel iletişim araçlarının yerini bilgiye …

[PDF][PDF] FakeWhastApp. BR: NLP and Machine Learning Techniques for Misinformation Detection in Brazilian Portuguese WhatsApp Messages.

L Cabral, JM Monteiro, JWF da Silva… - ICEIS (1 …, 2021‏ - pdfs.semanticscholar.org
In the past few years, the large-scale dissemination of misinformation through social media
has become a critical issue, harming the trustworthiness of legit information, social stability …