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Founded in 1882 by Emerson P. Harris and Horace M. Swetland, POWER Magazine came into being to provide coverage of the rapidly developing steam power industry. The idea sparked when Harris and Swetland, two young advertising salesmen at the Boston Journal of Commerce, recognized the need for a dedicated publication to cover the steam plants that were essential to the area's textile mills. They purchased an existing magazine called "Steam" and incorporated it into their new venture, POWER. Today, POWER Magazine is owned by Access Intelligence, LLC, which acquired the publication in 2006. POWER Magazine, based in the United States, covers a wide range of topics related to the global power generation industry. Their coverage includes news and analysis on various power generation technologies such as coal, gas, nuclear, and renewables, as well as topics like environmental regulations, grid infrastructure, and emerging energy technologies. POWER provides in-depth reporting on the business and technology aspects of the power industry worldwide. **One interesting fact**: An intriguing aspect of POWER Magazine is its longevity and historical significance. Founded in 1882, it is one of the oldest continuously published trade magazines in the United States, and its history closely parallels the development of the modern power industry. The magazine even played a role in forming an organization to formulate pressure vessel codes after regularly reporting on boiler explosions in its early years.
POWER Magazine is ranked N/A among other media sources and has an average of 218,201 monthly visits according to Similar Web.
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POWER Magazine has a Bias Score of -10% 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: POWER Magazine is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -10% Center

  • Policy Leanings

    -8% Center

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    Center

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    -100%
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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

    100% negative

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