The Guardian Article Rating

Mining companies are eager to dig up the ocean. That's a dangerous idea | Wendy Schmidt and Kristina Gjerde

Jul 25, 2023 View Original Article
  • Bias Rating

    -60% Medium Liberal

  • Reliability

    30% ReliableFair

  • Policy Leaning

    -60% Medium Liberal

  • Politician Portrayal

    -28% 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
  •   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:

66% : This moment marks a profound and rare opportunity when it comes to environmental protection.
60% : Renewable energy manufacturers and innovators should design their products with responsibly sourced minerals and with an eye to reclaiming minerals and collecting batteries for reuse.
57% : The resulting hydrothermal vent spews water at temperatures upwards of 500F. Surrounding the vent - and other underwater landscapes - are small knobs containing copper, cobalt and other minerals precious for renewable energy batteries.
55% : We need to move quickly toward a renewable energy future, but let's not mortgage the ocean to pay for it.
40% : We already know the damage that mining can cause on land.
36% : It's a cruel irony that renewable energy, at least at this point of technological development, is thought to require nonrenewable deep-sea minerals, pulled from ecosystems we know so little about.

*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