Mike Waltz, other National Security Council staffers out in latest Trump purge following Signal chat leak
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
68% Medium Right
- Politician Portrayal
-33% Negative
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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
-14% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
50% : Waltz, who previously served as a Florida congressman and as a decorated combat Green Beret, has come under fire from Democrats and critics since March, when the Atlantic magazine's editor-in-chief Jeffrey Goldberg published a firsthand account of getting added to a Signal group chat with top national security leaders, including Waltz, Secretary of Defense Pete Hegseth and CIA Director John Ratcliffe, while they discussed strikes against Yemen terrorists.36% : TRUMP REVEALS WHO WAS BEHIND SIGNAL TEXT CHAIN LEAK "Always, we're going to let go of people we don't like, or people we don't think can do the job, or people who may have loyalties to somebody else," Trump said from Air Force One when asked about reports on the NSC firings on April 3.
29% : " Trump told the media on April 3 that a handful of other NSC staffers had been let go following the Atlantic's report on the Signal chat leak last month, which characterized the Trump administration as texting "war plans" regarding a planned strike on Houthi rebels in Yemen.
22% : Trump confirmed that NSC members had been fired, but remarked it was not many individuals.
16% : " The Trump administration had maintained, however, that no classified material was transmitted in the Signal chat last month, with Trump repeatedly defending Waltz amid the fallout.
*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.