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Bias Meter

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Bias Meter

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The Hechinger Report was founded in 2010, taking its name after Fred M. Hechinger, a former education editor of The New York Times and an advocate for public education. The idea behind The Hechinger Report was to continue Hechinger's efforts to produce and promote high-quality education coverage. Today, The Hechinger Report is an independent, nonprofit newsroom that is supported by various foundations and individuals, allowing them the freedom to follow stories wherever they lead. Based in the United States, The Hechinger Report covers a wide range of topics related to education, from early childhood to higher education and workforce development. They focus on inequality and innovation in education, using research, data, and stories from classrooms and campuses to show how education can be improved and why it matters. The Hechinger Report produces in-depth journalism that explores issues such as education policy, its effects on young people, and the intersection of education with other societal issues like climate change. **One interesting fact**: The Hechinger Report has partnered with many major news outlets to reach a wider audience. They've collaborated with organizations like CNN, NBC News, The Washington Post, and The Atlantic, among others, to produce and distribute their education-focused stories.
The Hechinger Report is ranked N/A among other media sources and has an average of 282,530 monthly visits according to Similar Web.
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The Hechinger Report has a Bias Score of -10% 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 Average, and additional analytical insights are available in the other tabs.

Note: The Hechinger Report is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -10% Center

  • Policy Leanings

    -2% Center

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    -100%
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    Average 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.