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In October 1996, the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) created ReliefWeb as a pioneering humanitarian information portal. Sharon Rusu led the initial project team, which included Craig Duncan as one of the first hires. The project began with a simple list of links and quickly evolved into a comprehensive content-based website. Today, ReliefWeb continues to be owned and operated by OCHA as a specialized digital service. ReliefWeb, with offices in New York, Bangkok, and Nairobi, covers a wide range of humanitarian news and information. They focus on global crises, disasters, and emergency situations, providing updates on topics such as conflicts, natural disasters, health emergencies, and refugee crises. The website serves as a hub for situation reports, press releases, maps, infographics, and job postings in the humanitarian sector, and has become an essential resource for humanitarian workers and organizations worldwide. **One interesting fact**: ReliefWeb is notable for its longevity and continuous operation. The website has been updating content daily for over 25 years, starting from manually inputting about 30 documents per day in its early days to now hosting over one million humanitarian reports, making it one of the longest-running and most comprehensive humanitarian information services on the internet .
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 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 Average, 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

    4% Center

  • Policy Leanings

    -4% Center

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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.