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Bias Meter

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Bias Meter

  • Profile
The Fandom Post was founded in 2011 with the central goal of creating a platform for discussing various fandoms, both big and small, with a focus on news and entertainment associated with pop culture. The company aimed to work closely with industry professionals and fans to cover the latest developments across the pop culture field, with a particular emphasis on anime. Today, The Fandom Post is owned and operated as a self-employed venture, based in Hudson, Massachusetts. Based in Hudson, Massachusetts, The Fandom Post covers a wide range of topics related to entertainment and pop culture. Their coverage includes anime, movies, comic books, and manga. The website serves as a hub for fans to discuss and stay updated on their favorite fandoms. While primarily focused on entertainment news, The Fandom Post also provides reviews, industry insights, and fan-oriented content. They work to bridge the gap between industry professionals and fans, offering a platform for in-depth discussions and analysis of various pop culture phenomena. **One interesting fact**: The Fandom Post has a unique approach to covering anime and manga news. They maintain a dedicated "License Requests" section where readers can suggest titles they'd like to see officially licensed for English release. This interactive feature allows fans to directly influence the site's coverage and potentially draw attention to lesser-known series, demonstrating The Fandom Post's commitment to serving the interests of their community.
The Fandom Post is ranked N/A among other media sources and has an average of 59,491 monthly visits according to Similar Web.
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The Fandom Post 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: The Fandom Post is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -10% Center

  • Policy Leanings

    -12% Somewhat Left

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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.