There's a lot of misinformation, disinformation, and just plain fake news out there, and much of it is about science. Some of it can be pretty hard to spot, even if you have a science education or are reasonably knowledgeable.
This article has some good tips on how to spot fake science news. Here's the first one.
Tip 1: Seek the peer review seal of approval
Scientists rely on journal papers to share their scientific results. They let the world see what research has been done, and how.
Once researchers are confident of their results, they write up a manuscript and send it to a journal. Editors forward the submitted manuscripts to at least two external referees who have expertise in the topic. These reviewers can suggest the manuscript be rejected, published as is, or sent back to the scientists for more experiments. That process is called “peer review.”
Research published in peer-reviewed journals has undergone rigorous quality control by experts. Each year, about 2,800 peer-reviewed journals publish roughly 1.8 million scientific papers. The body of scientific knowledge is constantly evolving and updating, but you can trust that the science these journals describe is sound. Retraction policies help correct the record if mistakes are discovered post-publication.
not validated by other scientists
How long has this work been on the preprint server? If it’s been months and it hasn’t yet been published in the peer-reviewed literature, be very skeptical. Are the scientists who submitted the preprint from a reputable institution? During the COVID-19 crisis, with researchers scrambling to understand a dangerous new virus and rushing to develop lifesaving treatments, preprint servers have been littered with immature and unproven science. Fastidious research standards have been sacrificed for speed.
A last warning: Be on the alert for research published in what are called predatory journals. They don’t peer-review manuscripts, and they charge authors a fee to publish. Papers from any of the thousands of known predatory journals should be treated with strong skepticism.
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