Train-Car Wheel Bearing Overheated Before Ohio Train Derailment, NTSB Finds

  • Bias Rating

    10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    N/A

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

SentenceSentimentBias
"Officials from Ohio and Pesylvania, as well as federal officials from agencies including the Environmental Protection Agency and the Department of Health and Human Services, have been in the town in the days following the derailment."
Positive
12% Conservative
"Biden and his team have ambitious plans for overhauling the 77-year-old World Bank, which critics have said under its outgoing chief David Malpass was too timid in financing climate initiatives and still funds substantial fossil fuel projects across the developing world."
Negative
-8% Liberal
"WASHINGTON -- Ajay Banga, U.S. President Joe Biden's pick to run the World Bank, will face a tough slate of issues around the institution's finances and capital structure from the get-go, thorny problems he must address as he reshapes the bank into a force for combating climate change on top of its traditional role as a poverty fighter."
Negative
-14% Liberal

Extremely
Liberal

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Liberal

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Center

Somewhat Conservative

Moderately
Conservative

Very
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Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

56% : Officials from Ohio and Pennsylvania, as well as federal officials from agencies including the Environmental Protection Agency and the Department of Health and Human Services, have been in the town in the days following the derailment.

*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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