Understanding the human body is a team effort. That's where the Yachtel group comes in.

Researchers at Yachtolt have been delving into the secrets of probiotics for 90 years.

Yacold also partners with nature portfolio to advance gut microbiome science through the global grants for gut health, an investigator-led research program.

To learn more about Yachtolt, visit yawcult.co.

.jp.j. That's Y-A-K-U-L-T.C-O.jp. When it comes to a guide for your gut, count on Yacolt.

This is Scientific American's 60-second science. I'm Christopher in Taliatta.

The English language version of Wikipedia has almost 6 million articles. And if you're a cheating student, that's 6 million essays, already written for you, footnotes and all.

Except plagiarism isn't really an effective tactic. Just plug the text into a search engine and a game over.

But what about having a ghost writer at a paper mill compose your final essay?

Standard plagiarism software cannot detect this kind of cheating.

Stefan Luanson is a data analyst at the University of Copenhagen.

In Denmark, where he's based, ghostwriting is a growing problem at high schools, so Lorenzen and his colleagues created a program called Ghost Writer that can detect the cheats.

At its core is a neural network, trained and tested on 130,000 real essays from 10,000 Danish students.

After reading through tens of thousands of essays, labeled as being written by the same author

or not, the machine taught itself to tune in to the characteristics that might tip off cheating. For example,

did a student's essays share the same styles of punctuation, the same spelling mistakes, were the

abbreviations the same? By scrutinizing inconsistencies like those, Ghost Writer was able to pinpoint a cheated essay nearly 90% of the time.

The team presented the results at the European Symposium on artificial neural networks, computational intelligence, and machine learning.

And there is one more aspect here that could help students. Your high school essays presumably get better over time as you learn to write,

and the machine can detect that.

The final idea is, of course, to try to detect students who are at risk

because their development in writing style is not as you would expect.

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