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Ordinary Times
Media Bias Rating

Ordinary Times emerges as a reflective platform, dissecting topics ranging from Politics and Culture to Society and the Arts. Established in 2008 by a collective of thinkers led by Erik Kain and Mark Thompson, it was conceived as a space for writers and readers to engage in meaningful discussions beyond the sensational headlines. Based in Denver, Colorado, Ordinary Times is now maintained and owned by a close-knit community of contributing writers, each bringing their unique perspectives to the discourse. Recognized for its thought-provoking articles and the depth of its commentaries, the platform aims to elevate everyday conversations, making them extraordinary. Those looking for nuanced takes on pressing issues and contemporary culture can explore the insights at ordinary-times.com.

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

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.

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

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.

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
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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.
News Source Ranking
Ordinary Times is ranked 5,661 among other media sources and has an average of 18,559 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Ordinary Times 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 Ordinary Times:

Ordinary Times Articles

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Bias rating

ACTIONS

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