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SwimSwam is a premier digital news platform that dives deep into the world of competitive swimming. Launched in 2012 by co-founders Braden Keith, Mel Stewart, Tiffany Stewart, and Garrett McCaffrey, SwimSwam offers a comprehensive mix of news, rankings, swim meet results, and insightful commentary pertaining to all levels of the sport—from age-group swimming to the Olympics. Headquartered in the U.S., SwimSwam stands out in its niche by providing avid swimming enthusiasts and athletes alike a dedicated source for updates, training tips, interviews, and in-depth analyses. While it primarily focuses on the sporting aspect of swimming, it doesn't shy away from trendy stories that intersect with pop culture. Its digital reach is amplified at swimswam.com, solidifying its reputation as the go-to platform for everything related to the aquatic sport, making ripples and waves in the swimming community worldwide.
SwimSwam is ranked N/A among other media sources and has an average of 2,528,000 monthly visits according to Similar Web.
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SwimSwam has a Bias Score of -14% Somewhat Liberal 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: SwimSwam is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -14% Somewhat Liberal

  • Reliability
    38% Reliable Fair
  • Policy Leanings

    -22% Somewhat Liberal

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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

    N/A

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