Bias Meter

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Bias Meter

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Brooklyn Paper was founded in 1978 by Ed Weintrob and Seth Lipsky to provide a dedicated news source for Brooklyn, New York, a borough often overlooked by major citywide publications. It is currently owned by Schneps Media, one of New York City's largest local media companies, which acquired the publication in 2019.Brooklyn Paper covers a diverse array of local news topics including politics, business, education, arts and entertainment, sports, as well as a section dedicated to the eating and drinking scene in Brooklyn.**One interesting fact**: Brooklyn Paper differentiated itself early on by launching separate editions for different neighborhoods within the borough, spotlighting news and events specific to those areas. This hyper-local focus has been key to the publication's success and continues to make it an essential source of news for Brooklyn residents.
Brooklyn Paper is ranked 16,776 among other media sources and has an average of 244,164 monthly visits according to Similar Web.
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Brooklyn Paper has a Bias Score of 14% 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 N/A, and additional analytical insights are available in the other tabs.

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

    14% Somewhat Conservative

  • Reliability
  • Policy Leanings

    0% Center

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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

    17% negative

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