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-100%
Liberal

100%
Conservative

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Digital Music News was founded in 2004 by Paul Resnikoff, a veteran in the digital music industry. Resnikoff, an entrepreneur with vast experience in both the business and creative sides of music, aimed to create an authoritative platform for music industry news. Resnikoff continues to own his platform, additioanlly working as a publisher and author.Based in Los Angeles, California, Digital Music News focuses on news coverage about the music industry. This includes the latest trends, technologies, legal issues, and major events in the world of music. They are particularly known for their deep insights into the intersection of music and technology.**One interesting fact**: One unique feature of Digital Music News is its commitment to long-form journalism and in-depth analysis. Their extensive articles and reports dive deep into a wide range of topics, from changes in music copyright laws to the impact of streaming services on music revenue. This commitment to comprehensive reporting makes Digital Music News an invaluable resource for professionals in the music industry.
Digital is ranked N/A among other media sources and has an average of 380,558 monthly visits according to Similar Web.
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Digital has a Bias Score of -4% 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: Digital Music News is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -4% Center

  • Reliability
    62% Reliable Fair
  • Policy Leanings

    4% Center

    Extremely
    Liberal

    Very
    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
    Conservative

    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    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

    94% negative

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