Donald Trump names former California Congressman Devin Nunes to lead intelligence board

  • Bias Rating

    10% Center

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -14% 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

48% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

60% : Devin Nunes was an early backer of Donald TrumpIn the 2016 election, Nunes was one of the earliest Congressional supporters of Trump, who visited Tulare with the congressman during campaign fundraising events.
47% : President-elect Donald Trump on Saturday named former Tulare Congressman Devin Nunes, who now runs Trump's social media platform Truth Social, to serve as chair of the president's intelligence advisory board.Nunes, who led the US House of Representatives intelligence committee during part of Trump's initial White House term, will stay on as Truth Social CEO while serving on the advisory panel, Trump said in the post announcing the appointment.
45% : "Devin will draw on his experience as former Chairman of the House Intelligence Committee and his key role in exposing the Russia, Russia, Russia Hoax to provide me with independent assessments of the effectiveness and propriety of the U.S. Intelligence Community's activities," Trump wrote.
30% : In 2022, Trump hired Nunes, who then resigned from Congress, to run TruthSocial, the President-elect's social media platform.
10% : In 2021, Trump awarded Nunes the Presidential Medal of Freedom for exposing "the greatest scandal in American history," referring to Nunes' efforts to discredit the election interference investigation.

*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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