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Reuters Article Rating

Exclusive: Trump transition recommends scrapping car-crash reporting requirement opposed by Tesla

  • Bias Rating

    -18% Somewhat Liberal

  • Reliability

    50% ReliableAverage

  • Policy Leaning

    -14% Somewhat Liberal

  • Politician Portrayal

    -21% Negative

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

28% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

58% : After the election, Trump named Musk to co-lead a newly created Department of Government Efficiency to advise from "outside government" on slashing federal staff, spending and regulations. MORE DATA, MORE CRASHES Tesla is among the most prominent automakers developing advanced driver-assistance features, which can assist with lane changes, driving speed and steering.
54% : Musk, the world's richest person, spent more than a quarter of a billion dollars helping Trump get elected president in November.
54% : Reporting By Jarrett Renshaw, Rachael Levy and Chris Kirkham; editing by Anna Driver and Brian Thevenot Our Standards: The Thomson Reuters Trust Principles., opens new tab Suggested Topics:Autos & TransportationDonald TrumpADAS, AV & SafetySustainable & EV Supply Chain Rachael Levy Thomson Reuters Pulitzer Prize-winning business correspondent based in Washington, D.C. who has reported on the inner workings of Wall Street, Silicon Valley, American health care and national security.
39% : He said he would use his position as a government-efficiency czar, a post Trump had promised him, to push for such regulatory changes.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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