What's in a Name? Mount McKinley and Gulf of America, Explained - Inside Climate News

  • Bias Rating

    10% Center

  • Reliability

    85% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -13% 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

16% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

56% : In the same name-swapping order, designed to take effect by mid-February, Trump declared that the Gulf of Mexico will now be known as the Gulf of America "in recognition of this flourishing economic resource and its critical importance to our Nation's economy and its people.
55% : While symbolic in many senses, these name switchups could have complex cultural, international and even logistical implications, experts say.
47% : "Changing [geographic names] for political reasons without having ... people agree on it can be, I think, very confusing, and just doesn't promote easy-to-understand messages.
43% : Meanwhile, in the same order, Trump declared the Gulf of Mexico -- the warm waters bordered by several U.S. states and two other countries -- would now be deemed the Gulf of America.
23% : As NPR points out, Trump does not have the authority to abolish FEMA without Congress' approval.
20% : Trump visited California on Friday to survey disaster zones and meet with survivors of the catastrophic fires across Los Angeles County, which are close to contained.
15% : On his visit to California and a trip to North Carolina to tour damage left by Hurricane Helene, Trump stated plans to overhaul disaster aid, which included "maybe getting rid of FEMA," the Federal Emergency Management Agency.

*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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