Study confirms: #FakeNews travels faster than real news

This may explain why so much alarming (but false) information exists about climate change, chemtrails, Fukushima radiation, UFO’s etc.

Mark Twain was amazingly prescient, even before the age of Twitter with this famous quote attributed to him:

A lie can travel halfway around the world before the truth can get its boots on


From MIT:

On Twitter, false news travels faster than true stories

Research project finds humans, not bots, are primarily responsible for spread of misleading information.

A new study by three MIT scholars has found that false news spreads more rapidly on the social network Twitter than real news does — and by a substantial margin.

“We found that falsehood defuses significantly farther, faster, deeper, and more broadly than the truth, in all categories of information, and in many cases by an order of magnitude,” says Sinan Aral, a professor at the MIT Sloan School of Management and co-author of a new paper detailing the findings.

“These findings shed new light on fundamental aspects of our online communication ecosystem,” says Deb Roy, an associate professor of media arts and sciences at the MIT Media Lab and director of the Media Lab’s Laboratory for Social Machines (LSM), who is also a co-author of the study. Roy adds that the researchers were “somewhere between surprised and stunned” at the different trajectories of true and false news on Twitter.

Moreover, the scholars found, the spread of false information is essentially not due to bots that are programmed to disseminate inaccurate stories. Instead, false news speeds faster around Twitter due to people retweeting inaccurate news items.

“When we removed all of the bots in our dataset, [the] differences between the spread of false and true news stood,”says Soroush Vosoughi, a co-author of the new paper and a postdoc at LSM whose PhD research helped give rise to the current study.

The study provides a variety of ways of quantifying this phenomenon: For instance,  false news stories are 70 percent more likely to be retweeted than true stories are. It also takes true stories about six times as long to reach 1,500 people as it does for false stories to reach the same number of people. When it comes to Twitter’s “cascades,” or unbroken retweet chains, falsehoods reach a cascade depth of 10 about 20 times faster than facts. And falsehoods are retweeted by unique users more broadly than true statements at every depth of cascade.

The paper, “The Spread of True and False News Online,” is published today in Science.

Why novelty may drive the spread of falsity

The genesis of the study involves the 2013 Boston Marathon bombings and subsequent casualties, which received massive attention on Twitter.

“Twitter became our main source of news,” Vosoughi says. But in the aftermath of the tragic events, he adds, “I realized that … a good chunk of what I was reading on social media was rumors; it was false news.” Subsequently, Vosoughi and Roy — Vosoughi’s graduate advisor at the time — decided to pivot Vosoughi’s PhD focus to develop a model that could predict the veracity of rumors on Twitter.

Subsequently, after consultation with Aral — another of Vosoughi’s graduate advisors, who has studied social networks extensively — the three researchers decided to try the approach used in the new study: objectively identifying news stories as true or false, and charting their Twitter trajectories. Twitter provided support for the research and granted the MIT team full access to its historical archives. Roy served as Twitter’s chief media scientist from 2013 to 2017.

To conduct the study, the researchers tracked roughly 126,000 cascades of news stories spreading on Twitter, which were cumulatively tweeted over 4.5 million times by about 3 million people, from the years 2006 to 2017.

To determine whether stories were true or false, the team used the assessments of six fact-checking organizations (factcheck.org, hoax-slayer.com, politifact.com, snopes.org, truthorfiction.com, and urbanlegends.about.com), and found that their judgments overlapped more than 95 percent of the time.

Of the 126,000 cascades, politics comprised the biggest news category, with about 45,000, followed by urban legends, business, terrorism, science, entertainment, and natural disasters. The spread of false stories was more pronounced for political news than for news in the other categories.

The researchers also settled on the term “false news” as their object of study, as distinct from the now-ubiquitous term “fake news,” which involves multiple broad meanings.

The bottom-line findings produce a basic question: Why do falsehoods spread more quickly than the truth, on Twitter? Aral, Roy, and Vosoughi suggest the answer may reside in human psychology: We like new things.

“False news is more novel, and people are more likely to share novel information,” says Aral, who is the David Austin Professor of Management. And on social networks, people can gain attention by being the first to share previously unknown (but possibly false) information. Thus, as Aral puts it, “people who share novel information are seen as being in the know.”

The MIT scholars examined this “novelty hypothesis” in their research by taking a random subsample of Twitter users who propagated false stories, and analyzing the content of the reactions to those stories.

The result?

“We saw a different emotional profile for false news and true news,” Vosoughi says. “People respond to false news more with surprise and disgust,” he notes, whereas true stories produced replies more generally characterized by sadness, anticipation, and trust.

So while the researchers “cannot claim that novelty causes retweets” by itself, as they state in the paper, the surprise people register when they see false news fits with the idea that the novelty of falsehoods may be an important part of their propagation.

Directions for further research

While the three researchers all think the magnitude of the effect they found is highly significant, their views on its civic implications vary slightly. Aral says the result is “very scary” in civic terms, while Roy is a bit more sanguine. But the scholars agree it is important to think about ways to limit the spread of misinformation, and they hope their result will encourage more research on the subject.

On the first count, Aral notes, the recognition that humans, not bots, spread false news more quickly suggests a general approach to the problem.

“Now behavioral interventions become even more important in our fight to stop the spread of false news,” Aral says. “Whereas if it were just bots, we would need a technological solution.”

Vosoughi, for his part, suggests that if some people are deliberately spreading false news while others are doing so unwittingly, then the phenomenon is a two-part problem that may require multiple tactics in response. And Roy says the findings may help create “measurements or indicators that could become benchmarks” for social networks, advertisers, and other parties.

The MIT scholars say it is possible that the same phenomenon occurs on other social media platforms, including Facebook, but they emphasize that careful studies are needed on that and other related questions.

In that vein, Aral says, “science needs to have more support, both from industry and government, in order to do more studies.”

For now, Roy says, even well-meaning Twitter users might reflect on a simple idea: “Think before you retweet.”


The study: http://science.sciencemag.org/content/359/6380/1146

The spread of true and false news online

Soroush VosoughiDeb RoySinan Aral

Lies spread faster than the truth

There is worldwide concern over false news and the possibility that it can influence political, economic, and social well-being. To understand how false news spreads, Vosoughi et al. used a data set of rumor cascades on Twitter from 2006 to 2017. About 126,000 rumors were spread by ∼3 million people. False news reached more people than the truth; the top 1% of false news cascades diffused to between 1000 and 100,000 people, whereas the truth rarely diffused to more than 1000 people. Falsehood also diffused faster than the truth. The degree of novelty and the emotional reactions of recipients may be responsible for the differences observed.

Abstract

We investigated the differential diffusion of all of the verified true and false news stories distributed on Twitter from 2006 to 2017. The data comprise ~126,000 stories tweeted by ~3 million people more than 4.5 million times. We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98% agreement on the classifications. Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. We found that false news was more novel than true news, which suggests that people were more likely to share novel information. Whereas false stories inspired fear, disgust, and surprise in replies, true stories inspired anticipation, sadness, joy, and trust. Contrary to conventional wisdom, robots accelerated the spread of true and false news at the same rate, implying that false news spreads more than the truth because humans, not robots, are more likely to spread it.

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Bloke down the pub
March 9, 2018 3:29 am

An old friend of mine died unexpectedly last week, having only just been given the all clear from cancer. Within two days I’d had several people contact me with the news from as far away as Africa. It would seem that the worse the news is, the stronger the desire to spread it becomes.

ResourceGuy
March 9, 2018 6:23 am

Some 24/7 news networks thrive on the process of pushing it globally for a fee and never mind the cleanup crew of the real story afterwards.

March 9, 2018 6:34 am

The biggest scare of all is that agenda driven types are the loudest about ‘stopping’ fake news. In relation to climate science the objective is to cut off sceptical viewpoints. Look at the cast of characters who mention this need – Al Gore, Mann ….

paul courtney
Reply to  Gary Pearse
March 9, 2018 12:02 pm

Gary P: Good point. Right before our eyes, in order to deal with a few russians who know how to set up a “bot”, Google, Facebook et al are using software to shut out a few russian bots and a billion other conservative opinions. Progs have been wanting to limit conservative opinion on the ‘net, and they are making a great leap forward; if that works we won’t be able to find this site at some point. Makes you wonder if the russian bots were in Silicon Valley all along

TA
March 9, 2018 7:02 am

Trump is exposing the Fake News Leftwing Media for what it is: a partisan, political propaganda machine focused on showing Trump and conservatives in the worst light possible.
To properly understand what you are hearing from the Leftwing News Media you should assume that whatever they are saying with regard to politics is a distortion of reality, until proven otherwise.

Rah
Reply to  TA
March 9, 2018 7:39 am

Ha! My bias virtually always is that if the legacy media is for it then I’m against it and Visa versa. And more than 95 percent of the time I find out the information I need to form an informed opinion I have no reason to change my Stance.

Richard
March 9, 2018 8:05 am

Leo Smith above wrote, “The only difference between the New Left and the forces of conservatism, is that the latter still believe that there is a truth out there somewhere and what people think has some relationship with it. The New Left believes that belief itself actually constructs not just the social reality, but the physical reality of the planet.” Or as an Indian immigrant says, “Even in India we look to the left and right before crossing the street.”
Yes, there’s an objective truth, but there’s also a limit to our understanding of that truth caused by our physical human limitations.
Too many on the left have á priori denied that an objective truth exists and have brainwashed our youth into agreeing with them. So we end up with what M Montgomery above wrote, “For generations, we haven’t been taught reason, logic, or empiricism. How to debate in pursuit of Truth for Truth’s sake. Metaphysics. Now we’ve become a blob of “my truths” running around bouncing off each other. If it looks like madness, it is.” because even reason, logic and empirical studies are acknowledgements that an objective truth exists.
(Empiricism and empirical studies are not the same—the former is a metaphysics, the latter a methodology.)
I have come to realize that I can’t trust any government official in official statements unless he has corroboration, because I’ve been lied to too often. The same goes for most of the big name press, who have become little more than shills for government officials. As another saying puts it (I don’t know from where it comes) “In an environment of lies, telling the truth becomes a revolutionary act.” Often also dangerous to the truth teller.

March 9, 2018 8:25 am

Fake news almost always attempts to support the wrong side of a controversial issue. It’s fast spread is due to confirmation bias.

eyesonu
March 9, 2018 8:37 am

My first thought with regards to motivation/cause of spreading ‘false news’ would focus between the ears of those passing it along. In a sense, “group think”, as they ‘want it to be so’ so spread the word. Personal bias of the ‘spreaders’? Those who are more rational and aware of just how much “fake or false news” are likely to wait and see if the “news” is just a bunch more horsesh*t.
“… We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98% agreement on the classifications. …”
Well … there’s that ~97% number again. Bias or group-think from the fact checkers? Very possible, if not likely. To include/rely on a source as accurate that checks a source for accuracy is another can of worms altogether and could be a bit slimy.
But, at least someone is looking in the right direction yet through various layers of fog.

ResourceGuy
March 9, 2018 11:00 am

Sometimes the non-fake news is worse….
https://www.reuters.com/article/us-venezuela-politics/high-profile-activists-slam-u-s-canadian-sanctions-on-venezuela-idUSKCN1GL1ZY?feedType=RSS&feedName=worldNews&rpc=69
But then their news and facts are fake so it ultimately is fake driven events.

March 9, 2018 4:32 pm

Interesting.
people often ask me how did you go from English to Statistics? well, the truth is I started undergraduate as a math and physics major, and then got interested in the mathematics of texts. As I started to work on my Phd thesis I focused on Shannon and informationn theory, specifically the concept of Novelty in a text. Short version you look for high Entropy ( Information entropy) terms. Here’s an example: “megaphone” If you look through the climategate mails you will find one mail that contains the word “megaphone” its about the founding of realclimate. Here’s another one; “squeaky clean” that phrase occurs once: in the mail jones wrote about arranging who would peer review a paper. Another example : ‘anti climate’. Occurs only a couple times. First time I saw that phrase was in Gleicks forged memo. A quick search determined that he one one of the few people to use that particular weird locution. read the comments section
https://climateaudit.org/2012/02/20/peter-gleick-confesses/
https://climateaudit.org/2012/02/20/peter-gleick-confesses/#comment-324939
High entropy for a text means that it is “surprising” or “novel” or unpredictable. If you look at texts and other cultural phenomena from this perspective what you see that is the frequency of interaction drives the rate of novelty. For example, stylististic changes in fashion that you only see occassionally ( tuxedos) occur at a lower rate than changes in style in fashion you see everyday. Make it new. Also from this purely mathematical perspective
a novelty ( high entropy) is the same for surprising new truths and flat out errors. You plot some points. You regress a line and you have 1 outlier. It sticks out. It’s not what you expect. it has a high entropy (shannon entropy ) There are always two possible reactions to this: A) its just an outlier forget it, it has no meaning.
B) Hmm, that doesnt fit, I wonder what’s going on with that bit of data.
Anyway, it was the 1980s and people in the university thought I was crazy to use math on texts. The guys at Northrop thought it was cool.. and well what happened after that is another story.

March 9, 2018 4:42 pm

and strangely the frequency of interaction also drives repetition.
Think of how “memes” develop. Some sticks together a picture and phrase. An odd combination
https://www.harpersbazaar.com/culture/features/a13991521/best-funny-memes-2017/
some novelties wear out after repetition. but some “unexpected” things “never get old”
they become, “classics”
The same principle can be applied to new product development ( ya marketing too)

eyesonu
March 9, 2018 10:35 pm

Steve,
I read your comment with interest and tried to look deeply into your educational background. I started with information theory and Wikipedia. Being from an engineering background I think I was in over my head on this one. I found myself trying to drink my beer while standing on my head. I put sugar and milk on my potato chips and put a leash on the goldfish to take it for a walk. I shaved my toenails and cut my throat while bathing in the toilet and crapping in the bathtub. Maybe it was the entropy thing that got me. I fortunately saved myself with the use of a turbo-encabulator. The good news is that now I text the moment I get in the car and stop after every McDonalds.

Reply to  eyesonu
March 14, 2018 1:27 am

Start here
https://plus.maths.org/content/information-surprise
The other way to look at things is this.
A good scientific theory is just a form of lossless information compression

PUMPSUMP
March 11, 2018 2:48 pm

Mark Twain’s quote has always been true, a keen observation of a human failing, only difference is the speed at which it can travel, not to mention the ease of which it can be generated. The internet is a great thing, but like anything good, a few noisy people have spoiled it, ones with idle hands…