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Bias Meter

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Bias Meter

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Get Reading was founded in 2006 as a digital-first news source, pioneering a new approach to local journalism in Reading, England. The idea came from Trinity Mirror (now known as Reach plc), a large British newspaper and magazine publisher, who saw an opportunity to create an online platform dedicated to serving the Reading community. While the specific individuals behind the founding aren't mentioned, it was likely a team effort within Trinity Mirror to launch this innovative local news site. Today, Get Reading continues to operate under the ownership of Reach plc, maintaining its focus on the Reading area. Based in Reading, England, Get Reading covers a wide range of topics that matter to local residents. Their coverage includes local politics, keeping citizens informed about decisions affecting their community. Sports fans can find updates on local teams and events. The site also features trendy stories and lifestyle content, catering to readers interested in culture and entertainment. Community events are a significant focus, helping to keep residents connected and engaged with what's happening around them. One interesting fact: A unique aspect of Get Reading is its pioneering role as a digital-first local news source. In 2006, when many traditional newspapers were still figuring out their online strategies, Get Reading launched with a primary focus on digital content, setting a trend for hyper-local online journalism in the UK.
Get Reading is ranked 6,451 among other media sources and has an average of 741,043 monthly visits according to Similar Web.
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Get Reading 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 N/A, and additional analytical insights are available in the other tabs.

  • Bias Rating

    -2% Center

  • Reliability
  • Policy Leanings

    -2% Center

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    *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.