Fake News Spreads Faster on Twitter Than Real News, Study Says

Don't blame bots. People share fake news over Twitter because they find the content novel, according to the MIT study.
Fake News Spreads Faster on Twitter Than Real News, Study Says
Image credit: Chelsea Guglielmino | Getty Images
Guest Writer
Reporter
3 min read
Brought to you by PCMag

Falsehoods spread faster on Twitter than real news, and the problem can't be blamed on bots, a new study finds.

Fake news tends to have the real news beat in one area: novelty. That's why Twitter users can't help but share half-truths and unchecked rumors over the platform, according to a trio of MIT researchers.

The findings appear in the latest issue of Science and underscore an ongoing critique facing Twitter: that the social media service is doing more harm than good by becoming a hotbed for fake news and propaganda. The study delved deeper into the issue by examining how 126,000 stories -- both real and false -- were tweeted by over 3 million people.

"We found that falsehood diffused significantly farther, faster, deeper and more broadly than the truth in all categories of information," the authors wrote.

For instance, the true news-related tweets rarely reached over 1,000 people. In contrast, the top 1 percent of tweets carrying false news routinely spread from between 1,000 to 100,000 people. Fake political news was especially viral; it reached over 20,000 people faster than what other false news categories could do.

"When we estimated a model of the likelihood of retweeting, we found that falsehoods were 70 percent more likely to be retweeted than the truth," the authors added.

Did follower counts have anything to do with the results? Not really. The people who shared the false news stories generally had fewer followers than people who tweeted fact-based stories, the study said. Fake news sharers were also less active on Twitter, usually weren't verified, and hadn't been on the platform for long.

To account for bots, the MIT team used a computer algorithm to strip out suspected fake accounts from their research data. But even without the algorithm, their overall findings remained the same.

"We conclude that human behavior contributes more to the differential spread of falsity and truth than automated robots do," they said. This suggests that to fight misinformation, Twitter will have to do more than simply crack down on bots, the authors added.

The study doesn't exactly paint the social media service in the best light. But Twitter actually supported the researchers by providing funding and access to the archived tweets. CEO Jack Dorsey tweeted his support for the study, following his own public efforts to clean up the service. "Important findings within that [research] will help improve our work," he said.

Among those projects is an effort to measure the health of conversations across the platform. The company has also been notifying users who interacted with Russian propaganda on Twitter during the 2016 presidential election.

More from Entrepreneur

Get heaping discounts to books you love delivered straight to your inbox. We’ll feature a different book each week and share exclusive deals you won’t find anywhere else.
Jumpstart Your Business. Entrepreneur Insider is your all-access pass to the skills, experts, and network you need to get your business off the ground—or take it to the next level.
Are you paying too much for business insurance? Do you have critical gaps in your coverage? Trust Entrepreneur to help you find out.

Latest on Entrepreneur
https://www.entrepreneur.com/article/310233
www.entrepreneur.com
crawl=CC-MAIN-2019-43
106630
application/http; msgtype=response
sha1:NESBPH3MXEUOJOP2OOFWZXUB64XJPHEU
<urn:uuid:a6fd3c60-9883-4ec2-baa0-7b14b0bbaa72>
2019-10-19T00:36:26Z
151.101.249.63
text/html
sha1:4YFGGD65PSDN2OA6QR65EGLDO7P3LB4M
<urn:uuid:eb951021-24ad-43ca-be5d-9fa94b192f59>
https://www.entrepreneur.com/article/310233
response
<urn:uuid:6c8ba00b-1a6f-4031-9a92-c0afbdf79d12>
isPartOf: CC-MAIN-2019-43
publisher: Common Crawl
description: Wide crawl of the web for October 2019
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-214.ec2.internal
software: Apache Nutch 1.16 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.1-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: http://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/