$1.5 million grant will build global network to prevent exploitation of
- Bias Rating
-38% Somewhat Liberal
- Reliability
65% ReliableFair
- Policy Leaning
-38% Somewhat Liberal
- 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
53% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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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
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
60% : Other plans include working to align scientific research with local Indigenous communities' data governance standards and protocols, supporting Indigenous data scholars, expanding the reach of the networks worldwide and forging collaborations among Indigenous data sovereignty leaders and movements.60% : This research is supported by the National Science Foundation's Office of International Science and Engineering under Award No. 2412372.
*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.