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Jim Sinclair's Mineset
Media Bias Rating

Jim Sinclair's Mineset, established in 2003 by renowned economist and financial expert Jim Sinclair, is a leading source of information and analysis in the realm of precious metals, commodities, and global economics. Headquartered in New Jersey, Mineset focuses primarily on financial markets, investment strategies, and economic trends, offering invaluable insights into the complex world of finance and asset management. While Mineset's core expertise lies in matters related to precious metals and economic stability, it occasionally delves into the broader financial landscape, providing readers with a comprehensive perspective on global economic affairs. As an independent and trusted voice in the financial community, Mineset has garnered recognition for its astute analyses and has become a vital resource for investors and enthusiasts seeking to navigate the ever-changing financial landscape. Jim Sinclair's Mineset can be accessed online at mineset.com, offering a treasure trove of information for those interested in precious metals and global economic trends.

Bias Meter
Computer A.I. Score
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Our A.I. media bias rating of Jim Sinclair's Mineset shows what policies Jim Sinclair's Mineset supports and opposes including Jim Sinclair's Mineset's conservative and liberal leanings based on analysis of three hundred of articles scanned daily using the latest data science and artificial intelligence technologies.
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.

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*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.

Analyst Score
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Biasly’s analyst team evaluates politician twitter accounts, voting records, and statements made in the press to determine leanings. Our diverse analyst team includes equal representation from conservative, center, and liberal viewpoints on every article we rate.

The Analyst Bias Score is 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.
Reliability
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
Fact Analysis Score
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The Fact Analysis Score focuses more on the accuracy of claims, facts, and sources presented in the article and any hints of selection and omission bias.
Overall Reliability
Other
Policy Leanings
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Our policy leanings for Fox News show what policies Fox News is biased on based on the sentiment leanings found in their news articles.

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Center

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Moderately
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-100%
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100%
Conservative

*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.

Author Bias
Politician Portrayal

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News Source Ranking
Jim is ranked N/A among other media sources and has an average of 6,157 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Jim using our Bias Meter technology to provide readers better insight into the conservative and liberal leanings present in today’s media. Here is a list of biases found in articles, political policies, and politician biases from Jim:

Jim Sinclair's Mineset Articles

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Jim Sinclair's Mineset Politician Portrayal

PoliticianSentiment
Ratings are based on recent news using data science and A.I. technology.