Fake news 2.0: personalized, optimized, and even harder to stop

The US government's AI advisor warned that fake news might have influenced the politics of the United States, but the situation would be worse.

Primer's founder and CEO Sean Gourley is a company that uses software to mining data sources and automatically generating reports for US intelligence agencies through Smart Community Investment Fund In-Q-Tel is. Smart and fake news will be more complicated

Mr. Gourley said to EmTech Digital's viewer at Massachusetts Institute of Technology Review that "it will be very effective by automatically generating fake news."

This warning is important to Facebook. The social network was involved in the scandal because false news created by Russian agents during the months up to the presidential election in 2016 could not prevent millions of people from reaching them. Recently, the company was urged to mining the user's personal data at Cambridge Analytics, a company related to President Trump 's campaign.

In a recent interview, Facebook CEO Mark Zuckerberg suggested that the company use artificial intelligence to discover fake news. According to Gourley, AI can also be used to serve the opposite purpose.

Mr. Gourley noted that the fake news seen so far, including original handmade stories regularly posted on social media, are relatively simple. Techniques such as Primer can be easily used to automatically generate compelling and false stories, which means fake reports tailored to individual interests and compassion and carefully tested before release . Maximize its impact. "I can create twice the millions of stories to know which stories are most attractive," Gourley said.

Gourley added that fake news is basically flowing into a social media platform like Facebook, so far. A more complicated understanding of the dynamics of the network and the mechanism for judging the popularity of the content can expand the effect of the post

"The place where information is injected has a big influence on the spread and spread of that information," says Gary. He kept suggesting that a platform like Facebook might have flaws inherent in sharing news. "What we are seeing is only primitive, it has a wide range of effects, and it will have greater impact," he said.

However, Gourley believes that AI is at least part of the solution. "If the machine is going to produce it on one side, he said.

Correction: In earlier versions of this article, Primer incorrectly explained that it was a direct contractor of the CIA and not an In-Q-Tel.

Facebook should do more to prioritize posts from verified sources. It is necessary to functionally cancel the priorities / markings of sites selling fake news (easy to implement) and selling bipartisan news from both sides (more difficult). This editing process should be neutral. A news source optimized for engagement is essentially equivalent to an algorithm "wasting it" - this is a case where there is no proper process of news in a large amount of web-based news It becomes a problem. Please consider the flight time (or equivalent attention). Facebook knows exactly how much you spend the media you are playing on that platform. They also know how much (or perhaps) how old you are, what kind of media do you like?

A new topic is fake news of the latest topic. Even Facebook and other social media platforms can not stop fake news. Today, anyone can contribute content that may be consumed all over the world. Sadly, fake news has brought great appeal to the Internet, especially social media. People are deceived and do not think twice before spreading these erroneous information to the end of the world. This message has disappeared, but it did not cause the damage it wanted to cause.

In the 2016 US presidential election there was a massive phishing. Fake news, foreign intervention to fake news, fake article by fake social media archive, A / B test, we are seeing which one is transferred by the largest number of schools. Traditional media has long been a trusted gatekeeper. Because for them, the effective market tells them to give up this role, but to find the headline and stories that get the most attention and get the most advertisement income. The social media platform is not prepared at all to accommodate users as well as the way in which their algorithms are being phished