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ACLU Sues Over New Texas Law Allowing State Authorities To Arrest Migrants For Illegal Entry

Dec 19, 2023 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    85% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -60% 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

-31% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

67% : " Illegal immigration continues to surge at the southern border, including in Texas.
46% : The ACLU argues the law oversteps federal authority, according to a copy of the lawsuit, which includes Las Americas Immigrant Advocacy Center, American Gateways, and the County of El Paso, Texas as plaintiffs.
40% : Border Patrol agents have seen thousands of migrants cross into Eagle Pass, Texas, in a matter of days this week, leading to the shutdown of a local railway to reassign federal authorities to help process the new arrivals.
36% : The American Civil Liberties Union (ACLU) filed a lawsuit on Tuesday over a Texas law allowing state authorities to arrest migrants for entering the state illegally.
36% : "We're using every tool at our disposal, including litigation, to stop this egregious law from going into effect.

*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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