January 13, 2019


Last year, a study was published in the Journal of Human Behavior, explaining why fake news goes viral on social media. The study itself went viral, being covered by dozens of news outlets. But now, it turns out there was an error in the researchers’ analysis that invalidates their initial conclusion, and the study has been retracted.

The study sought to determine the role of short attention spans and information overload in the spread of fake news. To do this, researchers compared the empirical data from social networking sites that show that fake news is just as likely to be shared as real news — a fact that Filippo Menczer, a professor of informatics and computer science at Indiana University and a co-author of the study, stresses to Rolling Stone is still definitely true — to a simplified model they created of a social media site where they could control for various factors.

Because of an error in processing their findings, their results showed that the simplified model was able to reproduce the real-life numbers, determining that people spread fake news because of their short attention spans and not necessarily, for example, because of foreign bots promoting particular stories. Last spring, the researchers discovered the error when they tried to reproduce their results and found that while attention span and information overload did impact how fake news spread through their model network, they didn’t impact it quite enough to account for the comparative rates at which real and fake news spread in real life. They alerted the journal right away, and the journal deliberated for almost a year whether to issue a correction or a retraction, before finally deciding on Monday to retract the article.

Good for them to note the error.

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