UMass Study Maps Carbon Emissions in 22M US Streams
- Bias Rating
8% Center
- Reliability
70% ReliableGood
- Policy Leaning
8% 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
5% 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%
Liberal
100%
Conservative
Contributing sentiments towards policy:
55% : One area where having more accurate estimations of carbon emissions may have an impact is in carbon sequestration efforts.51% : If researchers are to accurately predict how carbon emissions may change in response to climate change, they need an answer to this question because different environments have unique responses to climate change.
48% : Using a sophisticated new modeling approach, researchers at the University of Massachusetts Amherst have estimated carbon dioxide emissions from inland waters to 22 million U.S. lakes, rivers and reservoirs.
*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.