Enlarge (credit: Alistair Berg)

Misinformation is not a new problem, but there are plenty of indications that the advent of social media has made things worse. Academic researchers have responded by trying to understand the scope of the problem, identifying the most misinformation-filled social media networks, organized government efforts to spread false information, and even prominent individuals who are the sources of misinformation.

All of that's potentially valuable data. But it skips over another major contribution: average individuals who, for one reason or another, seem inspired to spread misinformation. A study released today looks at a large panel of Twitter accounts that are associated with US-based voters (the work was done back when X was still Twitter). It identifies a small group of misinformation superspreaders, which represent just 0.3 percent of the accounts but are responsible for sharing 80 percent of the links to fake news sites.

While you might expect these to be young, Internet-savvy individuals who automate their sharing, it turns out this population tends to be older, female, and very, very prone to clicking the "retweet" button.

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Anyone can do a simple experiment. Navigate to a search engine that offers suggested completions for what you type, and start typing "scientists believe." When I did it, I got suggestions about the origin of whales, the evolution of animals, the root cause of narcolepsy, and more. The search results contained a long list of topics, like "How scientists believe the loss of Arctic sea ice will impact US weather patterns" or "Scientists believe Moon is 40 million years older than first thought."

What do these all have in common? They're misleading, at least in terms of how most people understand the word "believe." In all these examples, scientists have become convinced via compelling evidence; these are more than just hunches or emotional compulsions. Given that difference, using "believe" isn't really an accurate description. Yet all these examples come from searching Google News, and so are likely to come from journalistic outlets that care about accuracy.

Does the difference matter? A recent study suggests that it does. People who were shown headlines that used subjective verbs like "believe" tended to view the issue being described as a matter of opinion—even if that issue was solidly grounded in fact.