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Bias Meter

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Bias Meter

  • Profile
TeleSUR, established in 2005, provides news from a Latin American perspective, focusing on social justice and offering diverse coverage of regional events, politics, and culture. With a presence in multiple countries, TeleSUR continues to bridge cultural gaps by offering in-depth coverage of Latin American issues and promoting dialogue on social and political matters across the region, fostering greater understanding of Latin American dynamics. While TeleSUR's primary audience is in Latin America, the network's content is available in multiple languages and is accessible to a global audience. TeleSUR's team of journalists and contributors work to deliver in-depth, nuanced reporting on the issues and events shaping the region. One interesting fact: Despite its focus on Latin America, TeleSUR has developed a loyal following among readers who appreciate the network's commitment to providing a unique and alternative perspective on global affairs.
TeleSUR is ranked N/A among other media sources and has an average of 1,460,000 monthly visits according to Similar Web.
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TeleSUR has a Bias Score of 0% 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 N/A, and additional analytical insights are available in the other tabs.

  • Bias Rating

    0% Center

  • Reliability
  • Policy Leanings

    0% Center

    Extremely
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    Moderately
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    Center

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    -100%
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    100%
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    *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.