Reuters Article Rating

Column: A global tour of key renewable energy hot - and cold - spots: Maguire

Oct 26, 2022 View Original Article
  • Bias Rating

    -6% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -50% Medium Liberal

  • 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

  •   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:

62% : The below map made in Refinitiv Eikon shows the global sweep of power stations that generate electricity from renewable energy.
61% : The energy transition from fossil fuels to renewable power is a global undertaking, but Asia, Europe and North America are the clear leaders in current capacity and future plans, and offer clues on the development pace and scale to expect elsewhere.
61% : The spread of facilities across most continents gives the impression that renewable energy supplies are well scattered throughout the world.
59% : But in fact more than 90% of all renewable energy supply comes from Asia, Europe and North America, while the rest of the world accounts for less than 10%.
56% : China is upgrading its national grid to improve connectivity and reduce waste - a costly and lengthy undertaking that every major economy must also tackle to accommodate the intermittency of renewable power while ensuring stable energy supplies.

*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