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Online recruitment magazine
Media Bias Rating

Online Recruitment Magazine stands as a premier source for the latest trends, insights, and best practices in the recruitment and HR industry. Founded in 1998 by industry expert Patricia Wells, the magazine initially began as a platform for recruitment professionals to share their experiences and insights. Based in Chicago, it has since evolved to cover a broad spectrum of topics, from emerging technologies in recruitment to in-depth interviews with industry leaders. Presently owned by the media enterprise HR Insights Group, Online Recruitment Magazine has made a mark for itself by staying at the forefront of the recruitment field, delivering invaluable resources and news to HR professionals worldwide. Subscribers and readers can stay updated with the latest in recruitment trends at onlinerecruitmentmag.com.

A.I. Ratings
Bias Score
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Our A.I. media bias rating of Online recruitment magazine shows what policies Online recruitment magazine supports and opposes including Online recruitment magazine'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
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Moderately
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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
Online is ranked N/A among other media sources and has an average of 34,977 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Online 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 Online:

Online recruitment magazine Articles

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