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Generative AI and Wikipedia editing: What we learned in 2025

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11–20 of 132 posts

Re: Generative AI and Wikipedia editing: What we learned in 2025

#11

I find it very interesting that the main competitor to Wikipedia which is Grokipedia is taking a 180 degree approach being AI first.

Didn't know about Grokipedia, I've just opened an article in it about Spain, scrolled to a random paragraph, and the information in it is plain wrong:

From https://grokipedia.com/page/Spain#terrain-and-landforms > Spain's peninsular terrain is dominated by the Meseta Central, a vast interior plateau covering about two-thirds of the country's land area, with elevations ranging from 610 to 760 meters and averaging around 660 meters

Segovia is at 1.000 meters, and so is most of the top half of the "Meseta". https://en-gb.topographic-map.com/map-763q/Spain/?center=41....

I still stand on not trusting any of what AI spits out, be it code or text. And it takes me usually longer to check that everything is ok than doing it myself, but my brain is enticed by the "effort shortcut" that AI promised.

Re: Generative AI and Wikipedia editing: What we learned in 2025

#12
> That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, the information on Wikipedia does not exist in that specific source. When a claim fails verification, it’s impossible to tell whether the information is true or not.

This has been a rampant problem on Wikipedia always. I can't seem to find any indicator that this has increased recently? Because they're only even investigating articles flagged as potentially AI. So what's the control baseline rate here?

Applying correct citations is actually really hard work, even when you know the material thoroughly. I just assume people write stuff they know from their field, then mostly look to add the minimum number of plausible citations after the fact, and then most people never check them, and everyone seems to just accept it's better than nothing. But I also suppose it depends on how niche the page is, and which field it's in.

Re: Generative AI and Wikipedia editing: What we learned in 2025

#14
post #11

I find it very interesting that the main competitor to Wikipedia which is Grokipedia is taking a 180 degree approach being AI first.

Didn't know about Grokipedia, I've just opened an article in it about Spain, scrolled to a random paragraph, and the information in it is plain wrong: From https://grokipedia.com/page/Spain#terrain-and-landforms > Spain's peninsular terrain is dominated by the Meseta Central, a vast interior plateau covering about two-thirds of the country's land area, with elevations ranging from 610 to 760 meters and averaging arou…

Grok does cite that claim as being from https://countrystudies.us/spain/30.htm a page in Eric Solsten and Sandra W. Meditz, editors. Spain: A Country Study. Washington: GPO for the Library of Congress, 1988.

The nice thing about grokipedia is that if you have counter examples like that you can provide it as evidence to change it and it will rewrite the article to be more clear.

Re: Generative AI and Wikipedia editing: What we learned in 2025

#15
post #9

The title I've chosen here is carefully selected to highlight one of the main points. It comes (lightly edited for length) from this paragraph: Far more insidious, however, was something else we discovered: More than two-thirds of these articles failed verification. That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, th…

FWIW, this is a fairly common problem on Wikipedia in political articles, predating AI. I encourage you to give it a try and verify some citations. A lot of them turn out to be more or less bogus. I'm not saying that AI isn't making it worse, but bad-faith editing is commonplace when it comes to hot-button topics.

Any articles where newspapers are the main source are basically just propaganda. An encyclopaedia should not be in the business of laundering yellow journalism into what is supposed to be a tertiary resource. If they banned this practice, that would immediately deal with this issue.

Re: Generative AI and Wikipedia editing: What we learned in 2025

#16

> That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, the information on Wikipedia does not exist in that specific source. When a claim fails verification, it’s impossible to tell whether the information is true or not. This has been a rampant problem on Wikipedia always. I can't seem to find any indicator that this has…

There was a fun example of this that happened live during a recent episode of the Changelog[1]. The hosts noted that they were incorrectly described as being "from GitHub" with a link to an episode of their podcast which didn't substantiate that claim. Their guest fixed the citation as they recorded[2].

[1]: https://changelog.com/podcast/668#transcript-265

[2]: https://en.wikipedia.org/w/index.php?title=Eugen_Rochko&diff...

Re: Generative AI and Wikipedia editing: What we learned in 2025

#17

> That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, the information on Wikipedia does not exist in that specific source. When a claim fails verification, it’s impossible to tell whether the information is true or not. This has been a rampant problem on Wikipedia always. I can't seem to find any indicator that this has…

When I've checked Wikipedia citations I've found so much brazen deception - citations that obviously don't support the claim - that I don't have confidence in Wikipedia.

> Applying correct citations is actually really hard work, even when you know the material thoroughly.

Why do you find it hard? Scholarly references can be sources for fundamental claims, review articles are a big help too.

Also, I tend to add things to Wikipedia or other wikis when I come across something valuable rather than writing something and then trying to find a source (which also is problematic for other reasons). A good thing about crowd-sourcing is that you don't have to write the article all yourself or all at once; it can be very iterative and therefore efficient.

Re: Generative AI and Wikipedia editing: What we learned in 2025

#18
post #9

Earlier quoted context omitted.

FWIW, this is a fairly common problem on Wikipedia in political articles, predating AI. I encourage you to give it a try and verify some citations. A lot of them turn out to be more or less bogus. I'm not saying that AI isn't making it worse, but bad-faith editing is commonplace when it comes to hot-button topics.

Any articles where newspapers are the main source are basically just propaganda. An encyclopaedia should not be in the business of laundering yellow journalism into what is supposed to be a tertiary resource. If they banned this practice, that would immediately deal with this issue.

A blanket dimsissal is a simple way to avoid dealing with complexity, here both in understanding the problem and forming solutions. Obviously not all newspapers are propaganda and at the same time not all can be trusted; not everything in the same newspaper or any other news source is of the same accuracy; nothing is completely trustworthy or completely untrustworthy.

I think accepting that gets us to the starting line. Then we need to apply a lot of critical thought to sometimes difficult judgments.

IMHO quality newspapers do an excellent job - generally better than any other category of source on current affairs, but far from perfect. I remember a recent article for which they intervied over 100 people, got ahold of secret documents, read thousands of pages, consulted experts .... That's not a blog post or Twitter take, or even a HN comment :), but we still need to examine it critically to find the value and the flaws.

Re: Generative AI and Wikipedia editing: What we learned in 2025

#19
post #9

Earlier quoted context omitted.

FWIW, this is a fairly common problem on Wikipedia in political articles, predating AI. I encourage you to give it a try and verify some citations. A lot of them turn out to be more or less bogus. I'm not saying that AI isn't making it worse, but bad-faith editing is commonplace when it comes to hot-button topics.

Any articles where newspapers are the main source are basically just propaganda. An encyclopaedia should not be in the business of laundering yellow journalism into what is supposed to be a tertiary resource. If they banned this practice, that would immediately deal with this issue.

That's not what I'm saying. I mean citations that aren't citations: a "source" that doesn't discuss the topic at all or makes a different claim.

Re: Generative AI and Wikipedia editing: What we learned in 2025

#20
> That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, the information on Wikipedia does not exist in that specific source.

This happens a lot on Wikipedia. I'm not sure why, but it does and you can see its traces through the Internet as people post the mistaken information around.

One that took me a little work to fix was pointed out by someone on Twitter: https://x.com/Almost_Sure/status/1901112689138536903

When I found the source, the twitter poster was correct! Someone had decided to translate "A hundred years ago, people would have considered this an outrage. But now..." as "this function is an outrage" which honestly is ironically an outrageous translation. What the hell dude.

But it takes a lot of work to clean up stuff like that! https://en.wikipedia.org/w/index.php?title=Weierstrass_funct...

I had to go find the actual source (not the other 'sources' that repeated off Wikipedia or each other) and then make sure it was correct before dealing with it. A lie can travel halfway around the world...

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