Bias Meter

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Bias Meter

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Claims Journal was founded in 2004 as part of the Wells Media Group, which was established by Mark Wells in 2001. Wells had previously founded other business-to-business publications, and he created Claims Journal to cater specifically to insurance claims professionals.Based in San Diego, California, Claims Journal is focused on providing news and resources for the insurance claims industry. As such, its coverage includes topics like liability, company news, industry trends, catastrophe news, regulatory changes, and claims technology. The goal is to provide a one-stop resource for claims professionals seeking industry news and information.**One interesting fact**: To ensure that its content is highly relevant to its target audience, Claims Journal offers a range of specialized sections, including Insurance Journal TV and Academy of Insurance. These platforms provide video content and online education for insurance professionals, showcasing the outlet's dedication to serving the needs of its audience beyond just delivering news.
Claims Journal is ranked N/A among other media sources and has an average of 44,243 monthly visits according to Similar Web.
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Claims Journal 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 Fair, and additional analytical insights are available in the other tabs.

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

    2% Center

  • Policy Leanings

    6% Center

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    Center

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    -100%
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    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

    48% negative

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