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Bias Meter

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Bias Meter

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Founded in 1985, Windpower Monthly was established to provide specialized news and insights into the rapidly growing wind energy sector. The idea was conceived by a group of renewable energy enthusiasts who recognized the need for a dedicated platform to cover developments in wind power technology, policy, and industry trends. Today, Windpower Monthly is owned by Haymarket Media Group, a global media company known for its focus on professional content across various industries. Windpower Monthly covers a wide range of topics related to the wind energy industry, including technological advancements, policy changes, market trends, and industry events. The publication serves as a key resource for professionals, policymakers, and enthusiasts interested in the latest developments in wind energy. Based in the United Kingdom, Windpower Monthly provides global coverage, offering insights into wind power projects and innovations around the world. One interesting fact: A unique aspect of Windpower Monthly is its commitment to fostering a global community of wind energy professionals. The publication not only provides news and analysis but also hosts events and conferences that bring together industry leaders and experts to discuss the future of wind energy, making it a central hub for networking and knowledge-sharing in the sector.
Windpower Monthly is ranked N/A among other media sources and has an average of 50,586 monthly visits according to Similar Web.
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Windpower Monthly has a Bias Score of -12% Somewhat Liberal 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: Windpower Monthly is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -12% Somewhat Liberal

  • Policy Leanings

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    -100%
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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.