Updated Nalunaq Mineral Resource Estimate Results in a 50% increase in Average Grade and 30% Increase in Contained Gold
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
80% Very Conservative
- Politician Portrayal
N/A
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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
N/A
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Moderately
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Center
Somewhat Conservative
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
58% : Our new Dolerite Dyke geological model has enabled us to define continuous high grade zones within the Main Vein, which will make mining more efficient and profitable as lower grade tonnage can be discounted to focus on these higher grade areas.56% : The resource information included within this announcement is reported in accordance with the Canadian Institute of Mining, Metallurgy and Petroleum (CIM) Definition Standards on Mineral Resources and Mineral Reserves (May 2014) as required by CIM Definition Standards.
55% : This update, termed MRE3, is reported in accordance with the Canadian Institute of Mining, Metallurgy and Petroleum (CIM) Definition Standards on Mineral Resources and Mineral Reserves (May 2014) as required by NI 43-101 ("the CIM Definition Standards").
19% : This announcement contains inside information for the purposes of Article 7 of the UK version of Regulation (EU) No. 596/2014 on Market Abuse ("UK MAR"), as it forms part of UK domestic law by virtue of the European Union (Withdrawal) Act 2018, and Regulation (EU) No. 596/2014 on Market Abuse ("EU MAR").
*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.