Startups went against fake news

Startups went against fake news

More and more start-UPS engaged in a struggle with the fake news, in an effort to monetize this activity. Among these companies, the Crisp, New Knowledge, Cisco, Digital Shadows. They work with social networks and other companies, identifying bots and applying machine learning to computer could determine the news can be unreliable.

To deal with unreliable information in social networks has involved not only large technology companies such as Facebook, Google and Twitter, but also some startups. They see the fight against fake news profitable business. Among the companies that are engaged in the fight against fake news, Crisp, New Knowledge, Cisco, Distil Networks.

Some of them, including Crisp and New Knowledge, began with combating cyberterrorism, others, including Cisco and Distil Networks, used in the fight with the fake news tactics by which they counteract hackers.

Startup Crisp helps brands protect their reputation in social networks. This Crisp uses algorithms, which is canvassing the network, including the dark web.

“It’s the opposite search engines, it shows all the places you want to visit all the places that advertisers would not want to see,” said Crisp founder, Adam Hildreth. The startup also works with social networks to make moderation more effective. “The big problem is, how much information is downloaded every minute,” said Mr. Hildreth.

New Knowledge uses machine learning technology to identify and detect bots spreading dubious information.

According to CEO Jonathan Morgan, if the organization detect misinformation early enough, they can still take action. “Suppose we have previously found that people working hard to push the idea that Beyonce is a Russian spy. This is ridiculous. So if we found it early enough, before it has spread widely on Twitter, or InfoWars, or Fox, we can come up with an alternative: Beyonce — American patriot”, — he said.

Cisco is developing a technology that would help people to determine the attitude of the news article.

The developers want to teach the program to identify certain nuances of texts, for example, the extent to which the header is associated with the text and whether it is kliknete header. Another company, Distil Networks, specializiruetsya on the detection of bots that distribute certain information to make it trend.

According to the Director of marketing at Distil Networks Edward Roberts, bots are becoming more “intelligent” and better replicate human behavior.

“They stay on the pages via random amount of time, they click at different speeds, move the mouse less automatic ways,” he said. Moreover, according to Mr. Roberts, the fake news is a problem that can be solved, as has already solved the problem of spam.