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Founded in 1903 by anti-Qing revolutionary Tse Tsan-tai and British journalist Alfred Cunningham, the South China Morning Post (SCMP) has become a leading English-language news publication, renowned for its in-depth coverage of China and Asia. Currently owned by Alibaba Group, it offers a diverse range of content, including breaking news on major events in China, Asia, and the world, comprehensive analysis of Asian politics I depth coverage of the Chinese economy, Asian markets and global financial trends, cutting edge reporting on the latest advancements in technology, engaging features on food, travel art, and other aspects of Asian culture, comprehensive coverage of major sporting events in Asia, and award winning investigative reports. The SCMP is known for its long history and reputation for journalistic excellence, its team of experienced journalists and editors, its strong digital presence, and its unique perspective on China and Asia. It is headquartered in Hong Kong.
South is ranked 605 among other media sources and has an average of 16,990,000 monthly visits according to Similar Web.
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South has a Bias Score of 12% Somewhat Conservative 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.

  • Bias Rating

    12% Somewhat Conservative

  • Reliability
    48% Reliable Fair
  • Policy Leanings

    0% Center

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    -100%
    Liberal

    100%
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    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

    99% negative

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