Purpose This paper aims to examine the trends in research studies in the past decade which
address the use and analysis of propaganda in social media using natural language …

The input to a machine learning model is a one-dimensional feature vector. However, in
recent learning models, such as convolutional and recurrent neural networks, two-and three …

The explosive growth of the amount of information on Internet has made Web page
classification essential for Web information management, retrieval, and integration, Web …

In real-time based smart video surveillance system, the moving human detection in thermal
video is a critical task that filters out redundant information and extracts exigent information …

Explosive performance and memory space growth in computing machines, along with recent
specialization of deep learning models have radically boosted the role of images in …

Disinformation campaigns on online social networks (OSN) in recent years, have
underscored democracies' vulnerability to such operations and the importance of identifying …

With the technological advancements and its reach Social media has become an essential
part of our daily lives. Using social media platforms allows propagandist to spread the …

Misinformation, fake news, and various propaganda techniques are increasingly used in
digital media. It becomes challenging to uncover propaganda as it works with the systematic …

The advent of the Internet inadvertently augmented the functioning and success of violent
extremist organizations. Terrorist organizations like the Islamic State in Iraq and Syria (ISIS) …

The article researches the Russian Night Wolves Motorcycle Club from the perspective of
the sharp power concept. It is argued that NWMC serve as a proxy for Russian sharp power …