The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

Fake news (ie, false news created to have a high capacity for dissemination and malicious
intentions) is a problem of great interest to society today since it has achieved …

The incursion of social media in our lives has been much accentuated in the last decade.
This has led to a multiplication of data mining tools aimed at obtaining knowledge from these …

Fake news detection is a challenging and complex task. Yet, several approaches to deal
with this problem have already been proposed. The majority of solutions employ the NLP …

The exponential growth of Online Social Networks (OSNs) such as Twitter intrigues many
terrorist groups to flourish their dark activities, target people to follow and sympathize with …

The last few years have revealed that social bots in social networks have become more
sophisticated in design as they adapt their features to avoid detection systems. The …

Automatic detection of fake content in social media such as Twitter is an enduring challenge.
Technically, determining fake news on social media platforms is a straightforward binary …

Social media has become a platform for expressing opinions and emotions, but some
people also use it to spread hate, targeting individuals, groups, communities, or countries …

With the fast and extensive development of computer vision techniques, multimodal
analyses are utilized more frequently for online fake news detection. To better understand …

Nowadays, extremist organizations use social networks, such as Twitter, to flourish their dark
activities. Usually, to polarize new members, these organizations attempt to share their …