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Bias Meter

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Bias Meter

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Founded in 1996 by Felicia Palmer and Steven Samuel, SOHH (Support Online Hip Hop) emerged as a pioneering platform for hip hop news and culture. Palmer, a Cornell University graduate, and Samuel, a former member of the rap group Troubleneck Brothers, recognized the need for a dedicated online space for hip hop enthusiasts. Initially launched as a magazine, they quickly pivoted to a website due to high printing costs. Palmer and Samuel taught themselves HTML in just a week to get the site up and running. As of 2016, SOHH was acquired by Industry Dive, a business journalism company, which currently owns and operates the site. Today, SOHH primarily focuses on covering hip hop and entertainment news. They report on updates from major social networks, music releases, celebrity gossip, and pop culture trends. Based in the United States, SOHH has become a go-to resource for hip hop fans and industry professionals alike. The website features interviews with celebrities, coverage of music events, and regular columns on various aspects of hip hop culture. **One interesting fact**: An intriguing aspect of SOHH is its remarkable longevity in the fast-paced world of online media. Having been founded in 1996, it has survived and thrived for over two decades, making it the longest-running online hip hop community. This achievement is particularly noteworthy given the numerous changes in the digital landscape since its inception.
SOHH is ranked N/A among other media sources and has an average of 298,823 monthly visits according to Similar Web.
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SOHH 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 Average, and additional analytical insights are available in the other tabs.

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

    -8% Center

  • Policy Leanings

    0% Center

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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

    69% negative

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