Los Angeles Times Article Rating

Opinion: Everyone who grasps the risk of nuclear war says Trump shouldn't be trusted

Sep 26, 2024 View Original Article
  • Bias Rating

    50% Medium Conservative

  • Reliability

    50% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -46% 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

-17% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

41% : A president, for instance, such as Trump, whose reckless, divisive term ended with his loyalists -- at his urging -- staging a deadly attack on the Capitol to try to keep him in power after he lost the 2020 election.
30% : "A volatile temperament is one of the many reasons Trump is a national security menace.
29% : But President George W. Bush withdrew from the Anti-Ballistic Missile Treaty in 2001, and 15 years later came Trump.
28% : Historian Lawrence S. Wittner, author of "Confronting the Bomb," warned in July that "Trump was far less interested in arms control and disarmament than in entering -- and winning -- a new nuclear arms race.
27% : Trump wasn't the first president to raise such concerns, they said, nor would he be the last.
25% : "Trump has already made America less safe.
8% : And Trump is now trying for a second term in a race most analysts consider too close to call -- a prospect so disturbing that this week more than 700 current and former national security officials signed a bipartisan letter endorsing his opponent, asking Americans to vote for Vice President Kamala Harris because Trump is "impulsive and ill-informed."

*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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