Two dead as migrants found 'suffocating' in train after call to Texas police

Mar 25, 2023 View Original Article
  • Bias Rating

    -32% Medium Liberal

  • Reliability

    45% ReliableFair

  • Policy Leaning

    -48% Medium Liberal

  • Politician Portrayal

    18% 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

N/A

  •   Liberal
SentenceSentimentBias
"The Uvalde Police Department said the Border Patrol was informed of the phone call and able to stop the train."
Negative
-6% Liberal
"The train was stopped near the town of Knippa, which is less than 100 miles from the southern border."
Negative
-12% Liberal
"It added: We take the safety of all individuals seriously and work tirelessly with law enforcement partners to detect illegal items and people riding inside or on our rail cars."
Negative
-32% Liberal
"We are heartbroken to learn of yet another tragic incident of migrants taking the dangerous journey, Mr Mayorkas said on Twitter."
Positive
4% Conservative
"In a statement, Homeland Security secretary Alejandro Mayorkas suggested the deaths and injuries were linked to human trafficking and pledged to hold those responsible accountable."
Negative
-22% Liberal

Bias Meter

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Center

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

47% : The Uvalde Police Department said the Border Patrol was informed of the phone call and able to stop the train.
44% : The train was stopped near the town of Knippa, which is less than 100 miles from the southern border.
34% : It added: "We take the safety of all individuals seriously and work tirelessly with law enforcement partners to detect illegal items and people riding inside or on our rail cars."

*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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