  The development of powerful deep learning technologies has brought about some
negative effects to both society and individuals. One such issue is the
emergence of fake media. To tackle the issue, we have organized the Trusted
Media Challenge (TMC) to explore how Artificial Intelligence (AI) technologies
could be leveraged to combat fake media. To enable further research, we are
releasing the dataset that we had prepared from the TMC challenge, consisting
of 4,380 fake and 2,563 real videos, with various video and/or audio
manipulation methods employed to produce different types of fake media. All the
videos in the TMC dataset are accompanied with audios and have a minimum
resolution of 360p. The videos have various durations, background,
illumination, and may contain perturbations that mimic transmission errors and
compression. We have also carried out a user study to demonstrate the quality
of the TMC dataset and to compare the performance of humans and AI models. The
results showed that the TMC dataset can fool human participants in many cases,
and the winning AI models of the Trusted Media Challenge outperformed humans.
The TMC dataset is available for research purpose upon request via
<EMAIL_ADDRESS>