This is definitely an interesting problem, and I can see a place for it.
I want to comment (in ignorance because I don't know the techniques you are using) that there is more to detecting fakes or "misinformation" than just the digital attributes of the data. Specifically, confirmation from multiple sources, reputation of sources, and above all, consistency with a world model of how people behave. For example, if there's a video of Biden backing Putin, you could dismiss it as fake regardless of video attributes.
I think (and have been criticized for saying, why I don't understand), that education and emphasizing critical thinking are the biggest counters to fakes, not learning to spot them in feature space. I believe that whatever you make, sanity checks need to be a part of it, and not just blind flagging of true / false based on the digital attributes.
I want to comment (in ignorance because I don't know the techniques you are using) that there is more to detecting fakes or "misinformation" than just the digital attributes of the data. Specifically, confirmation from multiple sources, reputation of sources, and above all, consistency with a world model of how people behave. For example, if there's a video of Biden backing Putin, you could dismiss it as fake regardless of video attributes.
I think (and have been criticized for saying, why I don't understand), that education and emphasizing critical thinking are the biggest counters to fakes, not learning to spot them in feature space. I believe that whatever you make, sanity checks need to be a part of it, and not just blind flagging of true / false based on the digital attributes.
Thanks!