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Center

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The Mac Observer
Media Bias Rating

The Mac Observer, a leading source of tech journalism, was founded in 1998 by Dave Hamilton and Bryan Chaffin. Headquartered in Silicon Valley, the publication has been a stalwart in delivering insightful and comprehensive coverage of the Apple ecosystem, technology trends, and the broader world of tech. Known for its in-depth analysis, product reviews, and expert commentary, The Mac Observer has become a go-to destination for Apple enthusiasts and tech aficionados alike. With a focus on the intersection of technology and lifestyle, The Mac Observer keeps its audience abreast of the latest developments in the fast-paced world of innovation. As an independent voice in the tech journalism landscape, The Mac Observer remains committed to providing accurate, timely, and engaging content.

Note: The Mac Observer is a news aggregator and may have limited or no original political articles.
Bias Meter
Computer A.I. Score
Help
Our A.I. media bias rating of The Mac Observer shows what policies The Mac Observer supports and opposes including The Mac Observer'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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Fair Reliability

*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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Extremely
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Moderately
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Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Fair Reliability

*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

N/A

News Source Ranking
The is ranked N/A among other media sources and has an average of 394,729 monthly visits according to Similar Web.
At Biasly, we rate political news articles from The 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 The:

The Mac Observer Articles

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Article title

Bias rating

ACTIONS

The Mac Observer Politician Portrayal

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