Financial Times Article RatingTech groups to pay premium for energy for Malaysia data centres, says minister
- Bias Rating
-4% Center
- Reliability
50% ReliableFair
- Policy Leaning
-4% Center
- Politician Portrayal
N/A
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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
36% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
51% : "Because these data centres are willing to pay a premium, they can push the boundaries with regards to renewable energy [and] water recycling in matters that not just general consumers but even normal industries might not be able to because they are not able to absorb the costs.50% : The country has also revised its water tariffs in recent years and was reconsidering energy subsidies as part of efforts to ensure the biggest corporations were paying full price, he added.
47% : Malaysia has also drawn investment thanks to a moratorium in Singapore on new data facilities between 2019 and 2022 over concerns about energy consumption.
*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.