Peer Review

Anyone who wants to publish a research paper usually sends it to an academic journal first. There, it’s not just the editorial staff who read it. The paper goes to other researchers working in the same field who go through the text critically. This examination by fellow experts is called peer review. The reviewers look for logical flaws, sloppy measurements, or claims that aren’t actually supported by the data shown. Only once they are satisfied is the paper printed.

What a seal of quality in research is supposed to achieve

No one can personally recheck every study. Journalists, doctors, politicians, and even researchers from neighboring fields have to trust that someone has taken a close look. Peer review is precisely this first filter. If a study is labeled “peer-reviewed,” it has cleared a hurdle that many weak papers fail to clear.

At some renowned journals, more than 90 percent of submitted papers are rejected. For researchers, publication there is therefore a kind of currency. It decides jobs, funding, and reputation. That explains why there is so much dispute surrounding this process.

An important caveat, though: peer review checks plausibility, not truth. The reviewers do not repeat the experiments and often never see the raw data. Even peer-reviewed studies are later disproven or retracted. So the seal really means: someone with expertise found no obvious errors here.

The path from manuscript to publication

First, an editor at the journal checks whether the topic even fits. Then they select two to four reviewers who are knowledgeable in the field. These reviewers read the paper and write a recommendation. It can be: accept, revise, or reject. In most cases, a revision is requested.

The process is often anonymous. In single-blind review, the reviewers know the authors, but not vice versa. In double-blind review, neither side knows the other. This is meant to prevent a well-known name alone from being persuasive. Reviewers work almost always unpaid, on the side of their actual job.

This is exactly where the weaknesses come from. A round often takes several months, sometimes over a year. Reviewers overlook errors because they have little time. And anyone reviewing a competing paper has a conflict of interest. That’s why some journals are experimenting with open processes, in which the reviews are published along with the reviewers' names.

Preprints, AI research, and headlines

In AI research, much of the process bypasses the classical procedure. New papers first appear as preprints on platforms like arXiv, meaning a freely accessible version without prior review. This is fast, often within a day. In a field where results become outdated after half a year, that is a real advantage.

The price for this is uncertainty. A preprint can be brilliant or completely wrong—no one has checked it. Major model releases from companies like OpenAI or Google likewise usually appear as technical reports without external review. So when media report on an AI breakthrough, it’s worth looking at where the numbers come from.

A common misconception is that peer review reliably uncovers fraud. It does not, because reviewers assume the information given is honest. Falsified data usually only comes to light later, when other groups fail to reproduce the same results. Peer review is therefore not an endpoint, but the beginning of a longer scrutiny by the scientific community.