Financial Times Article Rating

US pushed behind scenes for approval of corporate carbon offset plan

Apr 21, 2024 View Original Article
  • Bias Rating

    16% Somewhat Conservative

  • Reliability

    45% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -13% 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

44% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

52% : The staff uproar about the decision-making process, and the perceived influence exerted by the political, corporate and philanthropic backers of the growing carbon credit industry, saw SBTi take a step back on an endorsement of the use of carbon credits last week.
51% : The US state department said the perspectives of SBTi and other organisations had been "critical" to ensure the carbon credit schemes could "mobilise significant capital while maintaining a high standard of integrity"."The United States is firmly committed to high-integrity carbon markets as one mechanism for unlocking the finance needed for developing and emerging economies to transition from fossil fuels to clean power and to halt deforestation," it said.
48% : In the absence of another body or regulator, SBTi has evolved as a verification organisation for corporate climate plans, backed by non-profit groups.
45% : Kerry retired as US climate envoy earlier this year but was instrumental in a plan for poorer countries to issue carbon credits to companies in return for funding to help nations shift away from fossil fuels to clean energy.
45% : On Friday, Amaral said that SBTi's "dedication to science-based decarbonisation, public consultation and standard-setting governance is unwavering.

*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.

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