Financial Times Article RatingEurope's water crisis: how supplies turned to 'gold dust'
- 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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
58% : Mining for minerals critical to electric vehicle and wind turbine production could push the figure up by another 4bn to 5bn cubic metres per year, its report added.56% : But it will also hit households and other industries, including energy production, since water is needed for cooling nuclear power plants and to generate hydropower.
*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.