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Independent Journal Review (IJR)
Media Bias Rating

Independent Journal Review is a news platform that was founded in 2012. The platform's purpose is to shine a light and provide reliable information about both sides of every issue. Having this platform helps elevate voices on all sides so people can be informed and come to their own beliefs on their terms. The platform also invites the readers to experience the news through the promotion of products and services. According to Similar Web, ijr.com has 882,000 visits on average.

Bias Meter
Computer A.I. Score
Help
Our A.I. media bias rating of Independent Journal Review (IJR) shows what policies Independent Journal Review (IJR) supports and opposes including Independent Journal Review (IJR)'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.

Analyst Score
Help
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
Help
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.

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.

Author Bias
Politician Portrayal

N/A

News Source Ranking
Independent is ranked 7,483 among other media sources and has an average of 790,797 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Independent 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 Independent:

Independent Journal Review (IJR) Articles

Date

Article title

Bias rating

ACTIONS

Independent Journal Review (IJR) Politician Portrayal

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