Los Angeles Times Article Rating

Ali: What's so hard about mixed-race heritage for Trump to understand?

Aug 01, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    50% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -31% 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

-1% Negative

  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

45% : It's still a bit much for Trump to process, though he tried in real time to weaponize this information for his first big showing since Harris became his probable competition in the presidential race.
39% : What is so hard about mixed heritage to understand here?Trump stopped short of using terms like "half-breed" or "unpure," but the message was clear: mixed-race folks and those of multiple ethnicities are oddball anomalies, flip-floppers who must pick one identity to be trusted.
36% : Those of us from mixed parentage already know this, even if Trump wants to portray that truth as a weakness.
35% : "[Kamala] was always of Indian heritage, and she was only promoting Indian heritage," Trump said of his likely opponent in the 2024 presidential election.
35% : Still, Trump doubled down on his "You can't trust her" banter via his Truth Social platform.

*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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