Bias Meter

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-100%
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100%
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Bias Meter

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ReliefWeb, a distinguished news source, focuses primarily on humanitarian and global development news. Founded in 1996, it has been a beacon of information for those interested in crisis response, disaster relief, and international development efforts. ReliefWeb's commitment to providing critical updates on humanitarian crises worldwide has made it an invaluable resource for NGOs, governments, and concerned citizens. Headquartered in New York City, ReliefWeb's digital platform, reliefweb.int, is an essential hub for the latest updates, reports, and data in the field of humanitarian assistance. Its dedication to highlighting global issues and fostering positive change has earned it a well-deserved reputation as a trusted source of information in the realm of humanitarian affairs.
ReliefWeb is ranked N/A among other media sources and has an average of 2,378,000 monthly visits according to Similar Web.
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ReliefWeb 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 Fair, and additional analytical insights are available in the other tabs.

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

    6% Center

  • Policy Leanings

    0% Center

    Extremely
    Liberal

    Very
    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
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    Extremely
    Conservative

    -100%
    Liberal

    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

    N/A

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