Hindi fake news detection using transformer ensembles

A Praseed, J Rodrigues, PS Thilagam - Engineering Applications of …, 2023 - Elsevier
In the past few decades, due to the growth of social networking sites such as Whatsapp and
Facebook, information distribution has been at a level never seen before. Knowing the …

[PDF][PDF] Indobert for indonesian fake news detection

SM Isa, G Nico, M Permana - ICIC Express Letters, 2022 - icicel.org
Fake news has been known as a deceptive information. In the digital era, especially in
COVID-19 pandemic outbreak, fake news is used to mislead society for certain purposes …

Fake news detection based on a hybrid BERT and LightGBM models

E Essa, K Omar, A Alqahtani - Complex & Intelligent Systems, 2023 - Springer
With the rapid growth of social networks and technology, knowing what news to believe and
what not to believe become a challenge in this digital era. Fake news is defined as provably …

Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer‐Based Approaches

M Al-Yahya, H Al-Khalifa, H Al-Baity, D AlSaeed… - …, 2021 - Wiley Online Library
Fake news detection (FND) involves predicting the likelihood that a particular news article
(news report, editorial, expose, etc.) is intentionally deceptive. Arabic FND started to receive …

Fake news detection using enhanced BERT

SA Aljawarneh, SA Swedat - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Since there are so many users on social media, who are not qualified to report news, fake
news has become a major problem in recent years. Therefore, it is crucial to identify and …

Word2Vec and LSTM based deep learning technique for context-free fake news detection

A Mallik, S Kumar - Multimedia Tools and Applications, 2024 - Springer
Nowadays, social media and virtual networking hubs like Twitter, Facebook have become
an integral part of our daily lives. The recent boom in multimedia technology and increased …

Automatic fake news detection with pre-trained transformer models

M Schütz, A Schindler, M Siegel, K Nazemi - Pattern Recognition. ICPR …, 2021 - Springer
The automatic detection of disinformation and misinformation has gained attention during
the last years, since fake news has a critical impact on democracy, society, and journalism …

GBERT: A hybrid deep learning model based on GPT-BERT for fake news detection

P Dhiman, A Kaur, D Gupta, S Juneja, A Nauman… - Heliyon, 2024 - cell.com
The digital era has expanded social exposure with easy internet access for mobile users,
allowing for global communication. Now, people can get to know what is going on around …

[HTML][HTML] FakeBERT: Fake news detection in social media with a BERT-based deep learning approach

RK Kaliyar, A Goswami, P Narang - Multimedia tools and applications, 2021 - Springer
In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …

Fake news detection using parallel BERT deep neural networks

M Farokhian, V Rafe, H Veisi - arXiv preprint arXiv:2204.04793, 2022 - arxiv.org
Fake news is a growing challenge for social networks and media. Detection of fake news
always has been a problem for many years, but after the evolution of social networks and …