NY Times Article Rating

House Republicans Pledge Drilling and Make It Easier to Shed Federal Land

  • Bias Rating

    10% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -29% 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

32% Positive

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

60% : Public lands create revenue for the United States Treasury, which collects fees from drilling, mining and grazing as well as renewable energy development and other activities.
45% : States often lack the resources to adequately maintain natural areas, they argue, and are more likely to sell formerly federal lands to mining and drilling companies or other private development.
44% : "I look forward to working in the new Congress and with President Trump to solve these problems and properly steward America's rich federal lands.
36% : "We have to stop the attacks on liquefied natural gas, pass legislation to eliminate the Green New Deal," he said in a floor speech after accepting the gavel.
33% : "The Green New Deal to which Mr. Johnson referred was proposed legislation that Congress never passed but that Republicans have seized on as shorthand for policies designed to help the United States transition away from fossil fuels, the burning of which is dangerously heating the planet.

*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.

Copy link