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Publishers Weekly
Media Bias Rating

Publishers Weekly, a prominent news source, has been a trusted voice in the world of publishing and literature since its founding in 1872. Established by Frederick Leypoldt, this New York-based publication has remained at the forefront of the literary industry for over a century. Publishers Weekly is renowned for its comprehensive coverage of all things literary, from book reviews and author interviews to industry trends and bestseller lists. It serves as an invaluable resource for authors, publishers, and book enthusiasts alike. While its focus is primarily on literature and the publishing world, its insightful commentary and in-depth analysis often extend to cultural and societal trends intersecting with the literary landscape. Publishers Weekly continues to thrive in the digital age, with a vibrant online presence at publishersweekly.com, ensuring readers stay well-informed about the ever-evolving world of books and literature. Ownership details were not available as of my last knowledge update in September 2021.

A.I. Ratings
Bias Score
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Our A.I. media bias rating of Publishers Weekly shows what policies Publishers Weekly supports and opposes including Publishers Weekly's conservative and liberal leanings based on analysis of three hundred of articles scanned daily using the latest data science and artificial intelligence technologies.
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.

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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.

Policy Leanings
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Our policy leanings for Fox News show what policies Fox News is biased on based on the sentiment leanings found in their news articles.
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Extremely
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Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
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-100%
Liberal

100%
Conservative

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.

Reliability
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Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
Analyst Ratings
Bias Score
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Biasly’s analyst team evaluates politician twitter accounts, voting records, and statements made in the press to determine leanings. Our diverse analyst team includes equal representation from conservative, center, and liberal viewpoints on every article we rate.

The Analyst Bias Score is 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.
Author Bias
Reliability
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Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
News Source Ranking
Publishers Weekly is ranked 3,552 among other media sources and has an average of 1,427,000 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Publishers Weekly using our Bias Meter technology to provide readers better insight into the conservative and liberal leanings present in today’s media. Here is a list of biases found in articles, political policies, and politician biases from Publishers Weekly:

Publishers Weekly Articles

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Bias rating

ACTIONS

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