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Bias Meter

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Bias Meter

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Online Recruitment Magazine, also known as Onrec, was founded in 2000 by Stuart Gentle. Gentle, who had experience in the recruitment industry, recognized the growing importance of online recruitment and saw an opportunity to create a dedicated publication for this emerging field. He launched Onrec as a platform to provide news, insights, and resources for HR professionals and recruiters navigating the shift to digital recruitment methods. Today, Onrec is owned by Gentle's company, Onrec Limited, and continues to be a leading voice in the online recruitment industry. Based in the United Kingdom, Onrec primarily covers news related to the recruitment and human resources sectors. Their content includes industry trends, technological advancements in recruitment, job market statistics, and profiles of key players in the field. While their main focus is on recruitment news, they also touch on how broader topics like technology, economics, and workplace culture intersect with the recruitment industry. Onrec provides daily news updates, features, and in-depth articles to keep HR professionals and recruiters informed about the latest developments in their field. **One interesting fact**: Despite today being a digital-focused publication, Onrec started as a print magazine in 2000 and only later transitioned to a fully online format. This evolution mirrors the very industry they cover, as recruitment itself has shifted from traditional methods to predominantly online practices over the past two decades.
Online recruitment magazine is ranked N/A among other media sources and has an average of 34,977 monthly visits according to Similar Web.
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Online recruitment magazine has a Bias Score of 6% Center which is based on a variety of factors including its policy and politician leanings, article ratings, and the use of biased language. Its Reliability is rated as Average, and additional analytical insights are available in the other tabs.

Note: Online recruitment magazine is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    6% Center

  • Policy Leanings

    30% Somewhat Conservative

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    Average 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.

  • Politician Portrayal

    N/A

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