this post was submitted on 04 Oct 2023
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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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[–] [email protected] 30 points 1 year ago (1 children)

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

[–] [email protected] 8 points 1 year ago (2 children)

Not entirely sure why it needs ai for that either.

[–] [email protected] 10 points 1 year ago (2 children)

AI is the new buzzword for media to use.

[–] [email protected] 5 points 1 year ago (1 children)

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.

[–] [email protected] 3 points 1 year 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.

[–] [email protected] 2 points 1 year ago* (last edited 1 year 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.

[–] [email protected] 1 points 1 year ago* (last edited 1 year ago) (1 children)

Better accuracy usually (but not granted if badly implemented)

[–] [email protected] 2 points 1 year ago (1 children)

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.

[–] [email protected] 1 points 1 year ago (1 children)

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

[–] [email protected] 1 points 1 year ago (1 children)

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.

[–] [email protected] 1 points 1 year 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.