… a fake news detection dataset containing 10,700 fake and real news related to COVID-19. We
… and can be used to develop automatic fake news and rumor detection algorithms. We also …

… of fake news has become an important issue, especially during the worldwide COVID-19 …
This study proposes an automatic fake news detection system that supports or disproves the …

… To detect fake news in Thai texts, Thai-NLP … Thai COVID-19 fake news detection among
word relations using transfer learning models. For pre-training from the global open COVID-19 …

… The prime objective of this article is to detect toxic fake news related to COVID-19 disease
on social media and thus limit the efforts put into investing in all the fake news categories …

… We start by curating a COVID-19 news dataset in Chinese based … fake news detection
framework named CrossFake based on pre-trained language models. To deal with the long news …

… Hostility detection task. Additionally, we built models to identify fake news related to Covid-19
in … word embeddings and achieve a 0.93 F1 score on the English fake news detection task. …

… This study works on the detection of COVID-19 fake news detection. Experiments in this work
are carried out using feature extraction (TF-IDF and BoW) and feature selection techniques …

… and are then used to detect the fake news regarding Covid-19 from social media using state-…
texts and then using these features for fake news detection instead of the texts. After feature …

… This work introduced the task of COVID-19 fake news detection on Twitter. We collected
related tweets from diverse sources. Post human annotations, we proposed CTF, the first …

… against the SARS-CoV-2 and detection of fake news about Covid-19 as well as HL. We
intended to verify whether the detection of fake news changed or not the intention to get …