Bias Meter

Extremely
Liberal

Very
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

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Task & Purpose is an online publication that has a focus on helping soldiers transition back to civilian life. The niche for Task & Purpose is military life and veterans. It also provides articles about entertainment, culture, technology, and history regarding the United States Armed Forces and the defense industry. It was founded in 2014 by Zachary Iscol, Brian Jones, and Lauren Katzenberg. It is currently owned by North Equity LLC in New York City. Based on Similar Web's findings, the website taskandpurpose.com has 2.9 million visits on average and is ranked 14048 among other media sources in the United States.
Task is ranked 3,991 among other media sources and has an average of 1,560,000 monthly visits according to Similar Web.
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Task has a Bias Score of 4% 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 Good, and additional analytical insights are available in the other tabs.

  • Bias Rating

    4% Center

  • Policy Leanings

    10% Center

    Extremely
    Liberal

    Very
    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
    Conservative

    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    Good 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

    16% negative

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