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Bias Meter

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-100%
Liberal

100%
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Bias Meter

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Founded in 2008 by the Nieman Foundation for Journalism at Harvard University, Nieman Lab was created to explore and report on the future of journalism in a rapidly changing media landscape. The idea emerged from a need to understand how journalism could adapt to new technologies and changing audience behaviors. Today, Nieman Lab is managed by a team of journalists and researchers who continue to focus on innovative practices in the field of journalism. Nieman Lab primarily covers topics related to media, journalism, and technology, focusing on trends, challenges, and innovations in the news industry. The site features articles, research, and insights aimed at helping journalists, media organizations, and the public understand the evolving landscape of news. Based in the United States, Nieman Lab serves as a valuable resource for those interested in the future of journalism and media practices. One interesting fact: A unique aspect of Nieman Lab is its commitment to experimentation; the site often highlights new projects and initiatives from news organizations around the world, showcasing innovative approaches to storytelling and audience engagement that can inspire others in the industry.
Nieman Lab is ranked 18,284 among other media sources and has an average of 193,761 monthly visits according to Similar Web.
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Nieman Lab 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 Average, and additional analytical insights are available in the other tabs.

Note: Nieman Lab is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    2% Center

  • Policy Leanings

    14% Somewhat Conservative

    Extremely
    Liberal

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    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
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    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    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

    N/A

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