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Women's Health
Media Bias Rating

Women's Health, a prominent health and lifestyle news source, serves as a specialized platform offering comprehensive coverage of women's wellness, fitness, nutrition, beauty, and lifestyle trends. Established with a commitment to empowering and informing women about their health and well-being, Women's Health emerged as a vital source of knowledge in 2005, founded by experts in the fields of health, fitness, and women's empowerment to offer insightful reporting to its readers. Currently owned by Hearst Communications, Women's Health remains dedicated to its mission of delivering credible and impactful content within the realm of women's health and lifestyle. Renowned for its dedication to covering a wide range of topics related to physical and mental health, beauty tips, fitness routines, and life advice, Women's Health's platform symbolizes its role as a trusted source for women seeking authoritative information and inspiration for a balanced and healthy life. With a strong online presence, Women's Health continues to excel in its mission, making it an indispensable resource for readers seeking news and advice related to women's health and well-being.

A.I. Ratings
Bias Score
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Our A.I. media bias rating of Women's Health shows what policies Women's Health supports and opposes including Women's Health'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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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
Women's Health is ranked 2 among other media sources and has an average of 33,170,000 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Women's Health 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 Women's Health:

Women's Health Articles

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