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Bias Meter

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Founded in 1996 by Brad Inman, Inman was created to provide news and insights specifically for the real estate industry. The idea came from Brad's experience in real estate and his desire to create a platform that would keep real estate professionals informed about market trends, technology, and best practices. Today, Inman is owned by Inman News, which continues to focus on delivering valuable content to real estate agents and industry leaders. Today, Inman covers a wide range of topics including real estate news, market analysis, technology trends, and business strategies. Based in the United States, the publication aims to keep its readers informed about significant developments in the real estate sector and provides articles, webinars, and resources that are relevant to real estate professionals. One interesting fact: A unique aspect of Inman is its annual Inman Connect conference, which brings together thousands of real estate professionals from around the country to network, learn, and share ideas, making it one of the largest gatherings in the real estate industry.
Inman is ranked N/A among other media sources and has an average of 462,422 monthly visits according to Similar Web.
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Inman has a Bias Score of 8% 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.

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

    8% Center

  • Reliability
    77% Reliable Good
  • Policy Leanings

    -6% 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

    N/A

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