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

Great Thunberg in court along with four other activists over fossil fuel protests

  • Bias Rating
  • Reliability

    40% ReliableAverage

  • Policy Leaning

    N/A

  • 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

4% Positive

  •   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:

54% : Global Witness recently found that between January and March of 2023 UK prime minister Rishi Sunak and climate and energy ministers met with fossil fuel companies 54 times.
40% : The protest was part of Oily Money Out - a series of disruptions from the 17-19 October 2023 against the carbon emissions, political influence, and lobbying of the fossil fuel companies and banks attending the Energy Intelligence Forum. CEOs of the world's largest oil and gas companies attended the conference.
36% : The protestors held placards of top bosses at fossil fuel corporations, including Shell's CEO Wael Sawan, that read "the real climate criminals", as they asked "who should really be on trial?": A report by 350.org in 2020 found that some of the most severe corporate human rights abuses - such as corruption, extrajudicial killing and encroachment on indigenous rights - may be attributed to fossil fuel companies, like Shell's operations in Nigeria and Chevron's in Ecuador and Peru.

*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