Bias Meter

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-100%
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100%
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Bias Meter

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Pajiba, a distinctive and irreverent news source, was founded in 2004 as a refreshing departure from conventional journalism. Its founders, Dustin Rowles and Seth Freilich, aimed to provide readers with a unique blend of incisive commentary and biting parody, focusing on politics, entertainment, trending stories, and more. Headquartered in New York City, Pajiba has carved a niche for itself by fearlessly tackling controversial topics and embracing a satirical approach to news coverage. While it doesn't shy away from the serious issues of the day, Pajiba is renowned for its witty and often humorous take on the world's events. Currently, it operates as an independent platform, maintaining a strong online presence at pajiba.com, where readers can indulge in its distinctive brand of news and commentary.
Pajiba is ranked N/A among other media sources and has an average of 2,069,000 monthly visits according to Similar Web.
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Pajiba has a Bias Score of -28% 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 Fair, and additional analytical insights are available in the other tabs.

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

    -28% Somewhat Liberal

  • Policy Leanings

    24% Somewhat Conservative

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    Somewhat Liberal

    Center

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    -100%
    Liberal

    100%
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    Fair 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

    97% negative

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