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Center

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100%

Treehugger
Media Bias Rating

Treehugger, founded in 2004, is a prominent online source dedicated to environmental news and sustainable living. Established by Graham Hill, the platform has been a pioneer in providing valuable insights and information on environmental issues, green technologies, conservation efforts, and eco-friendly lifestyles. While ownership details may change over time, Treehugger's commitment to raising awareness about environmental matters remains unwavering. Renowned for its dedication to a greener planet, Treehugger is famous for its niche focus on promoting eco-conscious living, making it an essential resource for individuals seeking to make sustainable choices and stay informed about the latest developments in environmental sustainability.

A.I. Ratings
Bias Score
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Our A.I. media bias rating of Treehugger shows what policies Treehugger supports and opposes including Treehugger'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.

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Good 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.

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.
N/A

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Good 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.

Reliability
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Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
Analyst Ratings
Bias 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.
Author Bias
Reliability
Help
Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
News Source Ranking
Treehugger is ranked 14 among other media sources and has an average of 2,813,000 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Treehugger 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 Treehugger:

Treehugger Articles

Date

Article title

Bias rating

ACTIONS

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