Newsweek Article Rating

Alina Habba as presidential counselor marks spectacular rise under Trump

  • Bias Rating

    42% Medium Conservative

  • Reliability

    60% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -30% 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

27% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

61% : The announcement marks a spectacular rise for Habba, who met Trump at his Bedminster Golf Club, New Jersey, in 2019, eight years into her legal career.
57% : Trump became acquainted with Habba after she joined his Bedminster Golf Club in 2019.
35% : In 2021, Trump recruited Habba to his legal team out of relative obscurity, replacing well-established lawyer Marc E. Kasowitz who had withdrawn his services after years of working for Trump.
32% : Trump made the announcement in a Truth Social post on Sunday: "Alina has been a tireless advocate for Justice, a fierce Defender of the Rule of Law, and an invaluable Advisor to my Campaign and Transition Team," Trump wrote.
30% : In January 2023, Judge Donald Middlebrooks ordered Trump and Habba to jointly pay nearly $938,000 in legal costs for filing a series of "frivolous" lawsuits against the perceived political enemies of the former president.
24% : In 2022, Habba defended Trump in civil investigations by New York Attorney General Letitia James, unsuccessfully attempting to prevent his deposition.
17% : She also filed a defamation countersuit against former Apprentice contestant Summer Zervos, who alleged Trump sexually harassed her.

*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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