Bias Meter

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Bias Meter

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OutSmart Magazine stands as a beacon for Houston's LGBTQ+ community, offering in-depth coverage on a broad range of topics including politics, arts, health, entertainment, and local events. Founded in 1994 by Greg Jeu, it was birthed out of a passion to create a voice and space for the diverse experiences and stories within the LGBTQ+ spectrum. With its headquarters in Houston, Texas, the magazine remains privately owned. Over the years, OutSmart has gained recognition for its insightful features, interviews, and commentary that revolve around the intricacies of LGBTQ+ life and culture in Houston and beyond. Emblematic of the vibrant and ever-evolving community it represents, OutSmart continues to engage its readers both in print and through its online platform at outsmartmagazine.com, fostering a sense of unity, pride, and visibility.
OutSmart Magazine is ranked 43,013 among other media sources and has an average of 29,968 monthly visits according to Similar Web.
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OutSmart Magazine has a Bias Score of 18% 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 Fair, and additional analytical insights are available in the other tabs.

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

    18% Somewhat Conservative

  • Policy Leanings

    30% Somewhat Conservative

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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.

  • Politician Portrayal

    71% negative

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