With a few sources you can build an accurate single model of an event. You then edit that event as you see fit and then generate as many "independent" sources from different viewing locations as you want. Then upload them to different social media sites at different times.
And the real verification would come from ultra-high-res captures from drone cams, self-driving car cams, traffic cams, etc that are constantly running and recording everything, so that you can't realistically fake soemthing without simultaneously compromising uber, amazon, walmart, etc.
This only works in large events. What if you film a politician lying at a small event, but his image team makes 20 fake videos showing the event in a different light? I guess you're the liar then.
Secondly, your analogy is wrong. The new hypothetical you present is equivalent to the old model where you are all giving verbal accounts and his staffers lied. If you are going to compare to an old-tech scenario where you one-up them with a more detailed recording than they have, you need to do the same with new technology to keep the comparison accurate.
Thirdly, why aren't you the liar?
Fourthly, you can always go one level up. Show the footage of them constructing doctored footage.
To be honest with you, when I was younger I bought into this.
Nowadays....it kinda seems like with the open source community, consumers are getting stuff first. Not always, of course, but often enough.
And police departments are one category that I can be quite certain are lagging behind, they are definitely not getting stuff before consumers have it.
Frankly, the suggestion that government agencies -- let alone local police departments -- have sophistication in AI/ML years ahead of publicly known work from academia, industry, or even side projects on reddit, will verge on comical to anyone who's actually worked with these folks.
Only a few cops will have the ability to edit videos, the problem is almost all cops in his department will lie for that officer on the stand.
Most of those people are average. Intelligence agencies can be assumed to have more advanced technologies in a number of areas but the gap between what they have and what's out in the more public world has narrowed.
We've already had image tampering technologies for a long time but there's not been a significant problem with fakes in the press or as evidence.
It is an important issue anyway and figuring out ways to being able to differentiate the genuine from the fake, with cryptographic signing in cameras for example, are worthwhile.
And perhaps it should... if average people have the technology now, how long has it been in the hands of police departments, newspapers, militaries, and intelligence agencies?
We tend to focus on fakes with high-profile people like politicians and celebrities, but it can clearly be done with everyday people as well. The author was able to produce a fake video segment of a well-lit, animated conversation involving his wife. She's directly in front of the camera, speaking and making hand motions for several seconds. How much easier would it be to insert a face into grainy security camera footage, or a shaky clip of a large crowd at a political rally?