Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches
WH Bangyal, R Qasim, NU Rehman… - … methods in medicine, 2021 - Wiley Online Library
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …
media sites, and social networking. Twitter is an essential popular microblog where people …
Detecting COVID-19-related fake news using feature extraction
Since its emergence in December 2019, there have been numerous posts and news
regarding the COVID-19 pandemic in social media, traditional print, and electronic media …
regarding the COVID-19 pandemic in social media, traditional print, and electronic media …
Covid-19 fake news sentiment analysis
Abstract'Fake news' refers to the misinformation presented about issues or events, such as
COVID-19. Meanwhile, social media giants claimed to take COVID-19 related …
COVID-19. Meanwhile, social media giants claimed to take COVID-19 related …
Evaluating deep learning approaches for covid19 fake news detection
Social media platforms like Facebook, Twitter, and Instagram have enabled connection and
communication on a large scale. It has revolutionized the rate at which information is shared …
communication on a large scale. It has revolutionized the rate at which information is shared …
Deep learning for fake news detection on Twitter regarding the 2019 Hong Kong protests
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 …
interest, as it can be used to misinform people or lead them astray, which is particularly …
Fake news classification based on content level features
Due to the openness and easy accessibility of online social media (OSM), anyone can easily
contribute a simple paragraph of text to express their opinion on an article that they have …
contribute a simple paragraph of text to express their opinion on an article that they have …
COVID-19-FAKES: A Twitter (Arabic/English) dataset for detecting misleading information on COVID-19
MK Elhadad, KF Li, F Gebali - Advances in Intelligent Networking and …, 2021 - Springer
This paper aims to aid the ongoing research efforts for combating the Infodemic related to
COVID-19. We provide an automatically annotated, bilingual (Arabic/English) COVID-19 …
COVID-19. We provide an automatically annotated, bilingual (Arabic/English) COVID-19 …
Fake news detection using machine learning and deep learning algorithms
A Abdulrahman, M Baykara - 2020 international conference on …, 2020 - ieeexplore.ieee.org
Classification of fake news on social media has gained a lot of attention in the last decade
due to the ease of adding fake content through social media sites. In addition, people prefer …
due to the ease of adding fake content through social media sites. In addition, people prefer …
[HTML][HTML] Using artificial intelligence techniques for detecting Covid-19 epidemic fake news in Moroccan tweets
During the covid-19 pandemic, a considerable amount of data travels fast worldwide on the
net, mainly on the social media platform where people all over the world have constant and …
net, mainly on the social media platform where people all over the world have constant and …
Coaid-deep: An optimized intelligent framework for automated detecting covid-19 misleading information on twitter
COVID-19 has affected all peoples' lives. Though COVID-19 is on the rising, the existence of
misinformation about the virus also grows in parallel. Additionally, the spread of …
misinformation about the virus also grows in parallel. Additionally, the spread of …