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Current machine learning models aren't yet up to the task of distinguishing false news reports, two new papers by MIT researchers show.

The big picture: After different researchers showed that computers can convincingly generate made-up news stories without much human oversight, some experts hoped that the same machine-learning-based systems could be trained to detect such stories. But MIT doctoral student Tal Schuster's studies show that, while machines are great at detecting machine-generated text, they can't identify whether stories are true or false.

Details: Many automated fact-checking systems are trained using a database of true statements called Fact Extraction and Verification (FEVER).

  • In one study, Schuster and team showed that machine learning-taught fact-checking systems struggled to handle negative statements ("Greg never said his car wasn't blue") even when they would know the positive statement was true ("Greg says his car is blue").
  • The problem, say the researchers, is that the database is filled with human bias. The people who created FEVER tended to write their false entries as negative statements and their true statements as positive statements — so the computers learned to rate sentences with negative statements as false.
  • That means the systems were solving a much easier problem than detecting fake news. "If you create for yourself an easy target, you can win at that target," said MIT professor Regina Barzilay. "But it still doesn't bring you any closer to separating fake news from real news."
  • Both studies were headed by Schuster with teams of MIT collaborators.

The bottom line: The second study showed that machine-learning systems do a good job detecting stories that were machine-written, but not at separating the true ones from the false ones.

Yes, but: While you can generate bogus news stories more efficiently using automated text, not all stories created by automated processes are untrue.

Go deeper

Mayors feel powerless to reduce homelessness

Expand chart
Recreated from 2021 Menino Survey of Mayors; Chart: Jacque Schrag/Axios

America's mayors know their constituents hold them accountable for homelessness, but many don't feel they have the tools or power to fix things, a brand new survey says.

Why it matters: While homelessness has become more acute during the pandemic, city leaders say they lack the money, staff or political support needed to make a meaningful difference.

Ina Fried, author of Login
3 hours ago - Technology

Microsoft to buy Activision Blizzard

Microsoft

Microsoft announced Tuesday it plans to acquire video game giant Activision Blizzard for $68.7 billion in cash.

Why it matters: The move comes as Activision Blizzard has faced a wave of accusations of workplace harassment.

3 hours ago - World

Blinken to visit Ukraine as Russia invasion threat looms

Blinken (R) with President Zelensky. Photo: Efrem Lukatsky/Pool via Getty

Secretary of State Antony Blinken will travel to Ukraine on Tuesday as the country faces an ongoing threat of Russian invasion.

Driving the news: Blinken will meet with Ukrainian President Volodymyr Zelensky and Foreign Minister Dmytro Kuleba, as well as officials at the U.S. embassy in Kyiv to discuss contingency planning. He'll then travel to Berlin to meet German Foreign Minister Annalena Baerbock and attend a meeting of the "Transatlantic Quad" — France, Germany, the U.K. and U.S.