False metadata for rich media is a damned tough problem to target.
Putting aside any actually truthful captions, how do I know that "image of X" is actually an image of X?
Reading some of the Bellingcat investigations, and time spent, doesn't bode well.
I guess you could TinEye and index/hash the entire web's worth of rich media, then spot discrepancies (listed as X here, but Y there), but that seems horrendous in compute/bandwidth/storage terms.
>>seems horrendous in compute/bandwidth/storage terms
Yes, but the usefulness of being able to automate that identification in near-real-time to debunk the firehose of falsehoods we get from everywhere would be astronomical
Anyone reading would have a huge edge in both being more accurately grounded in reality and being able to identify the biggest/hottest disinformation streams
Honestly given the quality of Stable Diffusion and similar, you don't even need to reuse the same image posted somewhere else, you can just make it up. So... making such a huge effort...for what? People will adapt to use new tech.
That's a different problem. An important problem to be sure; but different. It's the kind Reality Defender are trying to solve to the extent it's possible and I am afraid it's just a matter of time before we see the effects of this in some crisis point when we can least afford the time to make sense of the firehose of falsehoods (nice phrase btw).
Putting aside any actually truthful captions, how do I know that "image of X" is actually an image of X?
Reading some of the Bellingcat investigations, and time spent, doesn't bode well.
I guess you could TinEye and index/hash the entire web's worth of rich media, then spot discrepancies (listed as X here, but Y there), but that seems horrendous in compute/bandwidth/storage terms.