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Bias Meter

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StrategyPage was founded in 1998 by James F. Dunnigan, a renowned military analyst, author, and wargame designer. Dunnigan recognized the need for a dedicated online platform that could provide quick and easy access to military affairs worldwide. He envisioned a site that would cover armed forces globally, offering up-to-date reporting on wars and hotspots. Today, StrategyPage continues to operate under Dunnigan's leadership as Editor-in-Chief, with additional key figures like Austin Bay as Contributing Editor and Al Nofi as Senior Editor. StrategyPage primarily focuses on military news, analysis, and commentary. The site covers a wide range of topics including armed forces worldwide, ongoing conflicts, weapons systems, military leadership, peacetime operations, intelligence, and information warfare. Based in the United States, StrategyPage has become a go-to source for those interested in comprehensive military affairs coverage. The site organizes information logically, with categories for different weapons systems and aspects of warfare. **One interesting fact**: Despite being a relatively small, independent military news outlet, StrategyPage has an impressive archive that dates back to the early 1980s. This extensive historical record allows readers to access and search through decades of military information and analysis, providing a unique perspective on the evolution of global military affairs over time.
StrategyPage is ranked N/A among other media sources and has an average of 172,353 monthly visits according to Similar Web.
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StrategyPage has a Bias Score of 2% 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 Limited, and additional analytical insights are available in the other tabs.

Note: StrategyPage is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    2% Center

  • Policy Leanings

    18% Somewhat Conservative

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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.