Software that can automatically detect fake news

Invented stories, distorted facts: fake news is spreading like wildfire on the internet and is often shared on without thought, particularly on social media. In response, Fraunhofer researchers have developed a system that automatically analyzes social media posts, deliberately filtering out fake news and disinformation. To do this, the tool analyzes both content and metadata, classifying it using machine learning techniques and drawing on user interaction to optimize the results as it goes.

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On Twitter, limited number of characters spreading fake info

WASHINGTON (AP) — A tiny fraction of Twitter users spread the vast majority of fake news in 2016, with conservatives and older people sharing misinformation more, a new study finds. Scientists examined more than 16,000 U.S. Twitter accounts and found that 16 of them — less than one-tenth of 1 percent — tweeted out nearly 80 percent of the misinformation masquerading as news, according to a study Thursday in the journal Science . About 99 percent of the Twitter users spread virtually no fake information in the most heated part of the election year, said study co-author David Lazer, a Northeastern University political and computer science professor.

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