The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …

Today, detecting fake news has become challenging as anyone can interact by freely
sending or receiving electronic information. Deep learning processes to detect multimodal …

The study proposed a framework for analyzing and measuring the ChatGPT capabilities as a
generic language model. This study aims to examine the capabilities of the emerging …

Automatic license plate recognition has become a significant tool as a result of the
development of smart cities. During the experiment studied in the current paper, 50 images …

Automatically describing the information of an image using properly constructed sentences
is a tricky task in any language. However, it has the potential to have a significant effect by …

Misinformation is always a serious problem for the general public, especially during a
pandemic. People constantly receive text messages of related coronavirus news and its …

Forest fires in central China pose significant threats to ecosystem health, public safety, and
economic stability. This study employs advanced Geographic Information System (GIS) …

With the increasing number of social media users in recent years, news in various fields,
such as politics, economics, and so on, can be easily accessed by users. However, most …

With the advent of the era of big data, the ubiquity of multi-modal fake news has increasingly
affected information dissemination and consumption. Measurements should be taken to …

Deepfake is digitally altered media aimed to deceive online users for political favor,
monetary gain, extortion, and more. Deepfakes are the prevalent issues of impersonation …