Published: January 27, 2023
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Why does chatGPT make up fake academic papers? By now, we know that the chatbot notoriously invents fake academic references. E.g. its answer to the most cited economics paper is completely made-up (see image). But why? And how does it make them? A THREAD (1/n) 🧵

Image in tweet by David Smerdon

ChatGPT is based on a language model, which assigns a probability distribution over sequences of words. A rough way to think about it: Given the start of a sentence, it will try to guess the most likely words to come next. (2/n)

A simplistic example: Give it “An apple a day…” and it will scan its immense library and come up with the most likely continuation: “…keeps the doctor away.” (3/n)

Image in tweet by David Smerdon

ChatGPT is of course more sophisticated than that, and it also ‘predicts’ the start of sentences, and ensures that whole documents are consistent. But the fundamental idea of predicting the next words in a sequence is still the same. (4/n)

Now consider the prompt “What is the most cited economics paper of all time”. The most ‘likely’ beginning to a language-based answer to this question is “The most cited economics paper of all time is”, which is what chatGPT spits out. (5/n)

Image in tweet by David Smerdon

No surprises there. But how does it choose the beginning of the title? It can’t scan papers themselves, but it can use website articles (inc. Wikipedia) that cite the titles of popular economics papers, and then use the words in the cited titles. (6/n)

Throughout the last 70 years, the two most common words in the titles of highly-cited economics papers have been “economic” and “theory” (hat tip: Hugo M. Montesinos-Yufa and Brandon Brice, “The Era of Evidence”) (7/n)

Image in tweet by David Smerdon

So we get the stem “A Theory of Economic”. What comes next? The most probable word to finish this title consistently, given the pool of cited economics papers and the adjective ‘economic’, is “History”. (8/n)

Now we have the title of our fake paper: “A Theory of Economic History”. We need the most probable author of this paper. The most highly-cited author associated with economic history is Nobel laureate Douglass North. https://en.wikipedia.org/wiki/... (9/n)

Douglass North has been cited over 120,000 times according to Google Scholar, and his most cited work, the book Structure and change in economic history, bears similarity to chatGPT’s title. https://scholar.google.com/cit... (10/n)

But wait - how many authors should our fake paper have? The most common number of authors in economics papers is 2. We need another author, and someone who best fits a co-author to Douglass North on a paper called “A Theory of Economic History”. (11/n)

Douglass North had many co-authors, but his most cited work with a co-author was “The rise of the western world: A new economic history”, with Robert Thomas. (12/n)

Image in tweet by David Smerdon

So Robert Thomas is our co-author. Finally, we need to choose a journal to publish our fake paper. Given the title and given the authors, which journal does chatGPT think is most likely? (13/n)

Douglass North’s most-cited co-authored paper, "Constitutions and commitment: the evolution of institutions governing public choice in seventeenth-century England", was published in The Journal of Economic History in 1989. https://doi.org/10.1017/S00220... (14/n)

But this isn’t the only reason! When associating an economics journal to go with this paper, chatGPT also draws on ALL of the references to a journal that contain either “Douglass North”, “Robert Thomas”, or “Economic History”. (15/n)

Douglass North became editor of The Journal of Economic History in 1960, and many website articles about the Nobel laureate reference this appointment. Combine this with his highly cited paper in 1989, and the choice is clear. (16/n)

And why 1969 as the publishing year? Here, the AI’s choice is not as clear. (17/n)

Douglass North published frequently in The Journal of Economic History from 1954-1992. He was the journal’s editor until 1966. The Nobel Committee cited his 1961 work as “Groundbreaking”, while his most cited work was in 1981. (18/n)

Why exactly chatGPT chose 1969 is unclear, but to a human, it is as plausible a choice as any – as is the fake paper! (19/19)

Postscript: An interesting and plausible hypothesis for why 1969 was chosen 👇 https://x.com/arekfurt/status/...

@dsmerdon @alexapo1980 So it has told us what would have been the most cited paper of all time had it been written!? :-)

@dsmerdon We had a play with this recently. https://wavellroom.com/2023/01...

@dsmerdon There is something weird going on... so many people praise it that it will be replacing developers and build businesses yet it fails miserably at writing basic python turtle code. Maybe it's a good con artist and a great search engine and I guess @StackOverflow did not have the

@dsmerdon This is a fine layman’s introduction to how AI’s like ChatGPT think.

@dsmerdon Try it with a question mark

Image in tweet by David Smerdon

@dsmerdon So, as I understand it, the more appropriate question would have been: In a multiverse where all possible universes are limited to events recorded on the internet, what would the most probable "most cited economic paper of all time" be? #Philosophy #MULTIVERSE #ChatGPT

@dsmerdon @SBundell I played a game with it where I'd asked it about why some technobabble I made up on the spot was important in my area of research, and it would happily spit out whole paragraphs explaining how things that don't (and probably can't) exist work and why they're important.

@dsmerdon Very great thread, thanks - puts this observation about misauthored papers of related topics into perspective: https://x.com/FractaloidConvo/...

@dsmerdon Uhm it is a language model? It generates text, it is not a search engine. Why is that surprising?

@dsmerdon Did it write George Santos bio?

@dsmerdon @joshuatodPRprof Thanks @dsmerdon - great investigative work - I predict a mystery thriller movie in the near future in which chatGPT plays a role in creating false trails in an investigation and then someone with more common sense comes along to solve the mystery 🙂

@dsmerdon @readwise save thread

@dsmerdon @LizHighleyman A couple of years ago I spoke with one of the conference organizers/members and he told that they rejected articles that looked like they were generated by machines.

@dsmerdon I will now only read chatGPT answers in the voice of Cliff Clavin from Cheers.

Image in tweet by David Smerdon

@dsmerdon Interesting, I had a similar experience where it made up a reference when I asked it to cite sources.

@dsmerdon A student turned in a essay last semester that had fake quotes from the primary text, not secondary sources. Would it have been an AI paper?

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