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Music Business Worldwide
Media Bias Rating

Music Business Worldwide (MBW) is a leading source of news and analysis at the intersection of music and commerce. Established in 2015 and headquartered in London, MBW has been instrumental in shaping the music industry's landscape. Founded by Tim Ingham, a seasoned music journalist and industry insider, MBW has become a go-to destination for musicians, executives, and music enthusiasts worldwide. Unlike traditional news outlets, MBW exclusively focuses on the music business, covering a wide range of topics, including music industry politics, market trends, artist management, and the latest developments in the ever-evolving music ecosystem. With a finger on the pulse of the industry, MBW's insightful reporting and in-depth analysis have made it an indispensable resource for anyone seeking to navigate the complex world where music, technology, and commerce converge. MBW is independently owned and operated, ensuring its dedication to delivering unbiased, accurate, and timely information to its dedicated audience. For the latest updates and exclusive music industry insights, visit www.musicbusinessworldwide.com.

A.I. Ratings
Bias Score
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Our A.I. media bias rating of Music Business Worldwide shows what policies Music Business Worldwide supports and opposes including Music Business Worldwide's conservative and liberal leanings based on analysis of three hundred of articles scanned daily using the latest data science and artificial intelligence technologies.
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.

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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.

Policy Leanings
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Our policy leanings for Fox News show what policies Fox News is biased on based on the sentiment leanings found in their news articles.
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Moderately
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Extremely
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-100%
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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.

Reliability
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Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
Analyst Ratings
Bias Score
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Biasly’s analyst team evaluates politician twitter accounts, voting records, and statements made in the press to determine leanings. Our diverse analyst team includes equal representation from conservative, center, and liberal viewpoints on every article we rate.

The Analyst Bias Score is 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.
Author Bias
Reliability
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Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
News Source Ranking
Music is ranked 1,066 among other media sources and has an average of 734,273 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Music using our Bias Meter technology to provide readers better insight into the conservative and liberal leanings present in today’s media. Here is a list of biases found in articles, political policies, and politician biases from Music:

Music Business Worldwide Articles

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