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An algorithm that takes just seconds to scan a paper for duplicated images racks up more suspicious images than a person.

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[-] qooqie@lemmy.world 30 points 10 months ago

This is kind of one of those “yeah, no shit” findings

[-] AbidanYre@lemmy.world 8 points 10 months ago

Not entirely sure why it needs ai for that either.

[-] SpeedLimit55@lemmy.world 10 points 10 months ago

AI is the new buzzword for media to use.

[-] GentlemanLoser@ttrpg.network 5 points 10 months ago

It's in the corporate world too. Today my boss mentioned the AI capabilities that a certain piece of software offered. Turns out being able to search text embedded in illustrator as Live Type is bleeding edge. Who knew.

[-] SpeedLimit55@lemmy.world 3 points 10 months ago

This? https://helpx.adobe.com/illustrator/using/retype.html

That could actually be helpful for me. Didn’t know it was a new feature lol.

[-] thbb@lemmy.world 2 points 10 months ago* (last edited 10 months ago)

As commonly said: the product advertises its new AI feature. The job posting of the person who implemented it was 'data scientist', and the technique used is called logistic regression.

Well, in this context, it's more image comparison or some other simple technique not even relying on a training dataset.

[-] Zeth0s@lemmy.world 1 points 10 months ago* (last edited 10 months ago)

Better accuracy usually (but not granted if badly implemented)

[-] AbidanYre@lemmy.world 2 points 10 months ago

Better accuracy than what? What the article describes is fairly basic image processing. The whole thing could be done with like a dozen lines of Python.

[-] Zeth0s@lemmy.world 1 points 10 months ago

In Image classification. Neural-network-based ML methods can have greater accuracy than alternative options in image classification

[-] AbidanYre@lemmy.world 1 points 10 months ago

For classification, sure. But based on the article that's not what they were doing here. This was just comparing an image to a bunch of other images to see if it was the same.

[-] Zeth0s@lemmy.world 1 points 10 months ago

To see if they are similar. They are not interested to see if the image is the same but to understand if the message is the same, to the level that it is a fraud, not simple citation. They are flagging frauds...

I have no idea how they do it, and I strongly believe it is an overkill given that the credibility of published research is low due to the mafia-like academic system, not because of few frauds.

this post was submitted on 04 Oct 2023
76 points (95.2% liked)

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