A research team at Oakland University is working on a new technology that will help people and online content censoring groups identify fake videos or audio recordings.
Khalid Malik, assistant professor, and a team of graduate students have been working on an audio detections system, and their hope is to develop a video detection system as well in 2020.
Their goal is to come up with a tool that can identify sham videos or audio clips that have been manipulated, and spot them quickly. There is a growing concern over fake audio and video falsehoods.
Authorities are worried by the number of people posting videos and audio clips with the intention of incriminating others or even influence political outcomes in election processes.
For instance, Buzzfeed managed to create a fake video of the former president Barack Obama, when in actual sense it is a mere video with a voice-over by Jordan Peele.
According to Malik, people are busy creating sham videos with very well-known politicians. The result is that the videos can be used to sway elections, so there is a need to be very careful. The National Science Foundation will fund part of the research by Malik and the graduate students.