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Bias Meter

Extremely
Liberal

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Liberal

Somewhat Liberal

Center

Somewhat Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

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SupChina was founded in 2015 by Anla Cheng and Jeremy Goldkorn, two China experts with extensive experience in business and journalism. The idea for SupChina came from their shared belief that there was a need for more nuanced and comprehensive coverage of China for English-speaking audiences. Cheng, a successful investor, and Goldkorn, a veteran China-based journalist, combined their expertise to create a platform that would provide in-depth analysis and reporting on China's rapidly evolving society, economy, and global influence. Today, SupChina continues to be owned and operated by its founders. Based in New York City, SupChina covers a wide range of topics related to China, including politics, business, technology, culture, and current affairs. The website offers news articles, opinion pieces, podcasts, and newsletters, catering to readers interested in understanding China's complex role in the world. One interesting fact: SupChina has developed a unique “China Dictionary“ feature on its website, which provides explanations and context for Chinese terms, phrases, and concepts that are frequently used in discussions about China but may be unfamiliar to Western audiences.
SupChina is ranked 65,972 among other media sources and has an average of 19,881 monthly visits according to Similar Web.
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SupChina 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 Good, and additional analytical insights are available in the other tabs.

  • Bias Rating

    2% Center

  • Policy Leanings

    0% 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.