The proliferation of fake news on social media platforms poses significant challenges to
society and individuals, leading to negative impacts. As the tactics employed by purveyors of …

Efforts have been dedicated by researchers in the field of natural language processing
(NLP) to detecting and combating fake news using an assortment of machine learning (ML) …

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 …

The significance of social media has increased manifold in the past few decades as it helps
people from even the most remote corners of the world to stay connected. With the advent of …

The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks.
However, developing an effective way to detect such news is challenging, especially when …

Internet reviews significantly influence consumer purchase decisions across all types of
goods and services. However, fake reviews can mislead both customers and businesses …

Abstract The World Health Organization declared the novel coronavirus disease 2019 a
pandemic on March 11, 2020. Along with the coronavirus pandemic, a new crisis has …

Artificial intelligence has achieved notable advances across many applications, and the field
is recently concerned with developing novel methods to explain machine learning models …

The broad availability and use of the internet have dramatically amplified the already
existing problem of false information, particularly when it comes to health-related news. This …

Fake news has been spreading intentionally and misleading society to believe unconfirmed
information; this phenomenon makes it challenging to identify fake news based on shared …