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Los Angeles Times Article Rating

Emboldened 'manosphere' accelerates threats, demeaning language against women after election

Nov 30, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -32% 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

-14% Negative

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

55% : But Trump also won support from 44% of women age 18 to 44, according to AP VoteCast.
45% : None of the current online rhetoric is being amplified by Trump or anyone in his immediate orbit.
36% : Anti-Asian hate incidents also rose as politicians, including Trump, used words such as "Chinese virus" to describe the COVID-19 pandemic.
31% : In statements responding to criticism of that event, Trump said he had "never met and knew nothing about" Fuentes before he arrived.
16% : But Trump has a long history of insulting women.
16% : Last year, a jury in a civil trial found that Trump had sexually abused a writer in the '90s and then defamed her, calling her a liar and a "nut job," among other insults.
9% : The recent spike in inflammatory language comes after Trump ran a campaign that was centered on masculinity and repeatedly attacked Harris over her race and gender.

*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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