A new study has found that a “well-crafted lie” will get more engagements than typical, truthful content and that some features of social media sites and their algorithms contribute to the spread of misinformation.
According to the New York Times, the study by the Integrity Institute, showed that twitter had the great misinformation amplification factor, in large part because of its feature allowing people to share, or “retweet,” posts easily.
It was followed by TikTok, the Chinese-owned video site, which uses machine-learning models to predict engagement and make recommendations to users.
“We see a difference for each platform because each platform has different mechanisms for virality on it,” said Jeff Allen, a former integrity officer at Facebook and a founder and the chief research officer at the Integrity Institute.
“The more mechanisms there are for virality on the platform, the more we see misinformation getting additional distribution.”
The institute calculated its findings by comparing posts that members of the International Fact-Checking Network have identified as false with the engagement of previous posts that were not flagged from the same accounts.
It analyzed nearly 600 fact-checked posts in September on a variety of subjects, including the COVID-19 pandemic, the war in Ukraine and the upcoming elections.
Facebook, according to the sample that the institute has studied, had the most instances of misinformation but amplified such claims to a lesser degree, in part because sharing posts requires more steps. But some of its newer features are more prone to amplify misinformation, the institute found.
Facebook’s amplification factor of video content alone is closer to TikTok’s, the institute found. That’s because the platform’s Reels and Facebook Watch, which are video features, “both rely heavily on algorithmic content recommendations” based on engagements, according to the institute’s calculations.
Instagram, which like Facebook is owned by Meta, had the lowest amplification rate. There was not yet sufficient data to make a statistically significant estimate for YouTube, according to the institute.
The institute plans to update its findings to track how the amplification fluctuates, especially as the midterm elections near. Misinformation, the institute’s report said, is much more likely to be shared than merely factual content.
“Amplification of misinformation can rise around critical events if misinformation narratives take hold,” the report said. “It can also fall, if platforms implement design changes around the event that reduce the spread of misinformation.”
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