Understand the bias, discover the truth in your news. Get Started
Reuters Article Rating

US House targets big climate, clean energy rollbacks in budget proposal

  • Bias Rating

    -16% Somewhat Liberal

  • Reliability

    60% ReliableAverage

  • Policy Leaning

    -18% Somewhat Liberal

  • Politician Portrayal

    -56% 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

39% Positive

  •   Liberal
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:

54% : Other areas of coverage include her award-winning reporting plastic pollution and the ins and outs of global climate diplomacy and United Nations climate negotiations.
50% : "This bill would claw back money headed for green boondoggles through 'environmental and climate justice block grants' and other spending mechanisms through the Environmental Protection Agency and Energy Department," House energy panel chair Brett Guthrie wrote in a Wall Street Journal op-ed that announced the proposal on Sunday.
47% : WASHINGTON, May 12 (Reuters) - U.S. House lawmakers laid out plans on Sunday to phase out key clean energy tax credits, as well as slash billions in spending related to electric vehicles and renewable energy, fast-track gas exports and claw back unspent climate-related funds as part of the Republicans' attempt to pass a multi-trillion-dollar budget to carry out President Donald Trump's agenda.

*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