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Bias Meter

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Bias Meter

  • Profile
Founded in 1982 by a group of environmentalists and researchers, the World Resources Institute (WRI) was created to address global environmental challenges and promote sustainable development. The idea came from the need for reliable data and analysis to help policymakers make informed decisions about natural resources and the environment. WRI is currently an independent nonprofit organization based in Washington, D.C., and is supported by various donors, including governments, foundations, and private sector partners. Today, WRI covers a wide range of topics related to environmental issues, including climate change, water resources, energy, and sustainable cities. The organization conducts research, provides data, and offers solutions to help tackle pressing global challenges. Based in the United States, WRI works with partners around the world to promote sustainable practices and policies that benefit both people and the planet. One interesting fact: A unique aspect of WRI is that it was one of the first organizations to use data visualization to communicate complex environmental issues. This innovative approach has helped make important information more accessible and understandable to policymakers, businesses, and the general public, enhancing awareness and action on environmental challenges.
World Resources Institute (WRI) is ranked N/A among other media sources and has an average of 344,058 monthly visits according to Similar Web.
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World Resources Institute (WRI) has a Bias Score of -50% Medium Left 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 Limited, and additional analytical insights are available in the other tabs.

Note: World Resources Institute (WRI) is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -50% Medium Left

  • Policy Leanings

    0% Center

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    -100%
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    Limited 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.