Image is a powerful way to share information in the digital world. The sources of images are
everywhere, magazines, newspapers, healthcare, entertainment, education, social media …

This study conducts research on deepfakes technology evolution and trends based on a
bibliometric analysis of the articles published on this topic along with six research questions …

In the recent years, social media has grown to become a major source of information for
many online users. This has given rise to the spread of misinformation through deepfakes …

The emergence of advanced machine learning or deep learning techniques such as
autoencoders and generative adversarial networks, can generate images known as …

Due to the availability of deep networks, progress has been made in the field of image
recognition. Images and videos are spreading very conveniently and with the availability of …

Recently, DeepFake has gained a lot of popularity, any multimedia output created with deep
learning technology that appears realistic to viewers is referred to as" DeepFake." Despite …

Images are frequently manipulated for various purposes, often serving the interests of
specific parties. Given that images are commonly regarded as evidence of reality, their …

Picture tampering has recently increased due to the increasing popularity of photo-editing
software, making it difficult to determine the authenticity of an image with the naked eye. To …

Social networking sites have become primary sources of information for web users, making
the rapid dissemination of deepfakes a cause for concern. Deepfakes are digitally …

This research aims to analyze and determine the impact of the Covid-19 pandemic on
people's behavior in Indonesia by using the Ojek online application during the Covid-19 …