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Bias Meter

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Bias Meter

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Founded in 1999 by Alex Ford, Post & Parcel was established to provide a trusted online platform for professionals in the mail and express industry to access critical information and resources. The idea came from recognizing the need for a dedicated space where industry insiders could find reliable news, analysis, and a community for discussion. Today, Post & Parcel is owned by Triangle Management Services, a specialized business services company focused on the mail and express sector. Post & Parcel, based in the United Kingdom, covers a wide range of news related to the global mail and express industry. Their coverage includes technological innovations, e-commerce trends, regulatory changes, and company updates from postal operators and courier services worldwide. While not focused on traditional news categories like sports or entertainment, they report on how these sectors intersect with the mail and express industry, such as the logistics of delivering tickets or managing returns for online fashion retailers. **One interesting fact**: An intriguing aspect of Post & Parcel is its expansion beyond digital media into live events. The company organizes the World Mail & Express (WMX) series of conferences, bringing together industry leaders from around the globe to discuss trends and innovations in person, demonstrating their commitment to fostering connections within the mail and express community.
Post & Parcel is ranked N/A among other media sources and has an average of 49,671 monthly visits according to Similar Web.
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Post & Parcel 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: Post & Parcel is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -10% Center

  • Policy Leanings

    0% Center

    Extremely
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    Liberal

    Moderately
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    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
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    Extremely
    Conservative

    -100%
    Liberal

    100%
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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.