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Twitter Looking at Ways to Detect ‘Fake News’ (Hint: It's not Going to be CNN)
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Twitter Looking at Ways to Detect ‘Fake News’ (Hint: It's not Going to be CNN)


Twitter is exploring adding a feature that would let users flag tweets that contain misleading, false or harmful information, according to two people familiar with the company's projects.

The feature, which is still in a prototype phase and may never be released, is part of the company’s uphill battle against rampant abuse on its platform. It could look like a tiny tab appearing in a drop-down menu alongside tweets, according to the people, who spoke on the condition of anonymity because they were not authorized to release details of the effort.

Twitter has been plagued by many issues, such as fake accounts that can be purchased outright for pennies and that spread automated messages and false stories. Extremists use the service as a recruiting tool, and hate-spewing trolls have threatened women and minorities.

These long-standing problems gained new urgency in the aftermath of the presidential election, when critics and researchers pointed to the toxic effect of social media on the public debate. Two-thirds of American adults say fabricated news stories that spread on social media have caused a “great deal of confusion” about basic facts and public events, according to a December poll from Pew Research Center. One estimate from the service Twitter Audit found that 59 percent of President Trump's followers are bots or fake accounts, while Hillary Clinton’s are 66 percent bots. (Twitter does not comment on third-party estimates).

Twitter spokeswoman Emily Horne said the company had “no current plans to launch” the feature but said she would not comment on whether it was being tested. “There are no current plans to launch any type of product along these lines,” she said.

Horne pointed to a company blog post from earlier this month which said that Twitter was adding personnel and resources, and building new tools, but shared few details about the effort.

Twitter is “working hard to detect spammy behaviors,” Vice President of Policy Colin Crowell said in a blog post earlier this month. Such behaviors include automated accounts that retweet the same message over and over or all at once in a concerted effort to manipulate trending topics, he noted. “We've been doubling down on our efforts,” Crowell said.

Facebook is also crowdsourcing the fake-news fight. In March, the company rolled out a tool that lets users flag content they think might be false by clicking a tab to dispute it. If enough people click “dispute,” the story is sent to independent fact checkers that Facebook has partnered with.

Google has also asked the public to help spot pages that are misleading or offensive.

It was not clear how Twitter's crowdsourcing feature would function, and the company is still researching how to design it, one person said. The process is moving slowly in part because there are concerns that people could use the new button to game the system, the way other aspects of Twitter have been manipulated. Twitter’s process for testing new features usually begins with prototyping. The next step is for employees to test the product internally before it gets released to a small subset of the public before being launched throughout the service. Many prototypes never make it to the wider employee testing phase. 

Another aspect of Twitter's developing efforts includes a focus on machine learning, a method in which software attempts to detect micro-signals from accounts to determine whether they are fake. For example, if an account tweeting political messages in English consistently comes from an IP address in Russia, whose government has tried to influence U.S. elections, the company might take notice.

The company could also look at whether certain accounts are frequently retweeted by people associated with credible or verified accounts, such as reporters at mainstream news organizations, or whether a news site has previously been associated with false information. 

Given the sheer scale of social media, curtailing this type of abuse is a formidable challenge even for wealthy tech companies. Twitter has more than 300 million monthly users, and Facebook announced earlier this week that it reached 2 billion users. There is also a fine line between abuse and free speech, and between false and sensational content, and technology companies have struggled to define the problem. Philosophically, they've also been reluctant to accept their newfound responsibilities — they do not want to be in the business of policing their users' free expression.

“We, as a company, should not be the arbiter of truth,” Crowell wrote earlier this month. He emphasized that Twitter users — “journalists, experts, and engaged citizens” — tweet side by side to correct public discourse every day in real time.

Still, critics point out that Twitter and other social-media companies are already arbiters and, however reluctantly, have steadily been increasing their roles in policing content. A ProPublica investigation of Facebook’s policies toward removing content shows decision-making that is becoming increasingly elaborate and sometimes contradictory. For example, the company decided that Facebook posts denouncing white men as racist would be removed while posts calling for the killing of “radical Muslims” would stay up, because radical Muslims are a subset of a protected class. The policy calls only for protecting individuals who are part of a protected class, but not a subset, according to the ProPublica report.


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