Essay sample library > The Grim Conclusions of the Largest-Ever Study of Fake News : Falsehoods almost always beat out the truth on Twitter

The Grim Conclusions of the Largest-Ever Study of Fake News : Falsehoods almost always beat out the truth on Twitter

2023-10-26 09:25:05

The authors stated, "Although this study is written in statistically clinical languages, it systematically manages the accuracy of the information distributed to these platforms.The false stories are better than real stories On average, the story reaches 1,500, six times faster than the real story, with a false story better than topics such as business, terrorism, war, science and technology, entertainment But fake news on politics is most effective.

Twitter users seem to prefer to share a lie. Even if researchers manage all the differences between accounts derived from rumors (such as whether the number of fans is high or not), the likelihood that a lie will be transferred more than accurate news is 70% higher I will.

"What does this look like in real life? These are two examples of last presidential elections: In August 2015, social media Donald Trump makes emergency medical care on his sick child on his plane Nearly everyone of Snopes confirmed this, but the story is real, but according to the estimates of the team, only about 1,300 people have shared or forwarded the story did.

There was rumor in February 2016 that the old cousin of the playing card died recently, and he opposed the big presidential candidate in his dead article. According to the report, "I am proud of the name of the playing card so please ask the people, please do not make the walking mucus bag the president." But snoop can not find evidence of cousin and his prejudice I refused. Treat this story as fake

Still, about 38,000 Twitter users shared articles. It is a combination of forwarding chains which is three times the story of a sick child.

A false story argues that boxer Floyd Mayweather wears a Muslim scarf in a gathering of cards and reaches the audience 10 times bigger than the sick child's story.

First of all, fake news seems to be "new" than real news. The team found that counterfeit goods are usually significantly different from all tweets displayed on the user's timeline 60 days before being transferred.

Secondly, false news can cause feelings over average tweets. Researchers created a database for Twitter users, responded to 126,000 controversial tweets, and then analyzed them using state-of-the-art emotion analysis tools. They discovered that while fake tweets tend to lead to words related to surprises and disgust, accurate tweets convey words related to grief and trust. "

Researchers discovered that "truth" reached 1,500 with "fake" about six times, on a Twitter survey conducted on Twitter from 2006 through 2006 through thousands of "information cascades" . The author of this study distinguishes between "fake" news, which is defined as any information politicians dislike, and obviously incorrect "fake" news. The difference between truth news and false news was drawn by six independent fact finding agencies. Whenever I reissue false news, I will respect the truth. But if the algorithm is designed to work for a wider social benefit, not against them, then it will certainly be of help. If we want to ensure that our social division, our political bias, the value of reasons, and evidence will not be further depreciated, we all strive for more free, fair and responsible information resources is needed.

According to a survey by Massachusetts Institute of Technology, which Twitter has invested in, "fake news" tends to expand online more quickly than it actually is. More specifically, researchers are more likely to lose a lie to Twitter (compared to the actual statement) by 70%, reaching a threshold of 1,500 (story) six times ago I concluded. According to the currently completed "proof of concept" test, this block chain is not yet ready to be used mainstream and its conclusion is very consistent with the conclusion of other major banks and regulators (the story ).