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Bias Meter

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Bias Meter

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Save Jersey was founded in 2008 by Matt Rooney, a political consultant and blogger based in New Jersey. The idea behind Save Jersey was to create a platform that would provide news, analysis, and commentary on New Jersey politics and policy issues from a conservative perspective. Rooney recognized the need for a right-leaning news source that could offer an alternative to the more liberal-leaning mainstream media coverage of the state's political landscape. Save Jersey primarily focuses on news and commentary related to New Jersey politics, government, and public policy. The website covers a range of topics, including state and local elections, legislative developments, and issues such as taxation, education, and infrastructure. While the site's primary focus is on New Jersey-specific news, it also occasionally touches on national political issues and their impact on the state. Save Jersey is based in New Jersey, with a statewide reach and a readership that extends beyond the state's borders. One interesting fact: A unique aspect of Save Jersey is its active and engaged community of readers and contributors. The website encourages readers to submit their own articles and op-eds, fostering a sense of ownership and participation among its conservative-leaning audience. This community-driven approach has helped Save Jersey establish itself as a prominent voice in New Jersey's political discourse, providing a platform for diverse perspectives and grassroots activism.
Save Jersey is ranked N/A among other media sources and has an average of 28,071 monthly visits according to Similar Web.
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Save Jersey has a Bias Score of 38% Somewhat Conservative 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.

  • Bias Rating

    38% Somewhat Conservative

  • Policy Leanings

    16% Somewhat Conservative

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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.