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Bias Meter

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Founded in 2006 by a group of investigative journalists, including Drew Sullivan and Paul Radu, the Organized Crime and Corruption Reporting Project (OCCRP) was created to combat organized crime and corruption in Eastern Europe and beyond. The idea emerged from the founders' recognition of the need for in-depth investigative journalism to expose corruption and criminal activities that often go unreported. Today, OCCRP is owned by a consortium of journalists and media organizations dedicated to promoting transparency and accountability. Today, OCCRP covers a wide range of topics including organized crime, corruption, political issues, and human rights. Based in Sarajevo, Bosnia and Herzegovina, the organization collaborates with journalists from various countries to produce investigative reports that shed light on complex criminal networks and corrupt practices. They provide articles, reports, and multimedia content, making it a vital resource for those interested in understanding the impact of crime and corruption on society. One interesting fact: A unique aspect of OCCRP is its collaborative approach; the organization works with a network of journalists and media outlets across multiple countries, allowing them to tackle large-scale investigations that span borders and involve various stakeholders, making their findings more impactful and far-reaching.
OCCRP is ranked 8,769 among other media sources and has an average of 532,325 monthly visits according to Similar Web.
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OCCRP 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: OCCRP is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    6% Center

  • Policy Leanings

    4% Center

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    Center

    Somewhat Conservative

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    Very
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    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    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.