Financial Times Article RatingMicrosoft secures deal to restore Amazon rainforest and offset AI emissions
- Bias Rating
22% Somewhat Conservative
- Reliability
30% ReliableAverage
- Policy Leaning
38% Somewhat Conservative
- Politician Portrayal
26% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
44% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
60% : Microsoft's recent dealmaking has made it one of the biggest buyers of nature-based carbon removals globally.56% : It arrived at this number after using renewable energy investments and credits to cancel out some emissions from its energy use.
55% : Microsoft will pay to restore parts of Brazil's Amazon and Atlantic forests in exchange for hundreds of millions of dollars' worth of carbon credits, becoming the latest Big Tech player to bet that nature-based solutions can offset an artificial intelligence-driven surge in greenhouse gas emissions.
35% : President Donald Trump's incoming administration has downgraded curbing climate change as a priority and instead declared an "energy emergency" to boost fossil fuel production in the US, citing the challenges faced by data centres in meeting energy demands.
*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.