Emotions unveiled: detecting COVID-19 fake news on social media
The COVID-19 pandemic has highlighted the pernicious effects of fake news, underscoring the critical need for researchers and practitioners to detect and mitigate its spread.
Bahareh Farhoudinia +2 more
doaj +1 more source
A study on the Detection of Fake news in Spanish
False information published with the intention of misleading social media users is known as fake news. These are created to appear as credible and genuine information and can manipulate opinions and be disseminated for political or financial purposes (Kaliyar et al., 2021).
Alba Maribel Sánchez Gálvez +4 more
openaire +1 more source
Explainable multi-granularity attribution reasoning framework for fake news detection
Fake news detection has garnered the attention of an increasing number of researchers in recent years, particularly in the context of multimodal fake news that combines text and images.
Wei Ji +3 more
doaj +1 more source
Evidence-aware Bayesian neural networks for fake news detection
The popularity of social media has led to accelerated fake news propagation and expanded influence. The extensive spread of fake news not only disrupts social order but may also trigger mass incidents, posing a potential threat to national security and ...
CHEN Junhai +3 more
doaj
TCMB: cross-model multi-level cross-attention network with Taylor-based loss for multimodal fake news detection. [PDF]
Banbhrani SK.
europepmc +1 more source
A self-learning multimodal approach for fake news detection. [PDF]
Chen H +9 more
europepmc +1 more source
An algorithmic system for arabic fake news detection using neural networks and transformer embeddings with class weighting. [PDF]
Saad M, Abdelrazek S, Abdelmaksoud IR.
europepmc +1 more source
Retraction Note: Towards improved fake news detection using a hybrid RoBERTa and metadata enhanced XGBoost model. [PDF]
Ali A +10 more
europepmc +1 more source
Attention based neural network for cross domain fake news detection in Turkish language. [PDF]
Akpinar KO, Akpinar M, Pavlovskaya O.
europepmc +1 more source
Hybrid deep learning models for fake news detection: case study on Arabic and English languages. [PDF]
Merzah BM, Razmara J, Salmanian Z.
europepmc +1 more source

