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Bias Meter

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Employee Benefit News (EBN) is a leading source for insightful coverage of workplace-related topics, with a primary focus on employee benefits and human resources. Founded in 1979, EBN has been a trusted resource for employers, HR professionals, and benefits experts for over four decades. Based in New York City, EBN has consistently delivered comprehensive news and analysis on a wide range of subjects, including healthcare, retirement planning, employee wellness, and the latest trends in compensation and perks. With a commitment to providing timely and informative content, EBN has established itself as an essential destination for staying updated on the ever-evolving landscape of employee benefits. Today, EBN continues to be at the forefront of the industry, offering valuable insights through its online platform at employeebenefitnews.com.
Employee is ranked N/A among other media sources and has an average of 97,026 monthly visits according to Similar Web.
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Employee has a Bias Score of 4% 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 Fair, and additional analytical insights are available in the other tabs.

Note: Employee Benefit News is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    4% Center

  • Reliability
    54% Reliable Fair
  • Policy Leanings

    18% Somewhat Conservative

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    Center

    Somewhat Conservative

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    -100%
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    100%
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    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.

  • Politician Portrayal

    98% negative

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