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Bias Meter

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Bias Meter

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KKAM, also called Talk 103.9 and 1340, has been serving the Lubbock, Texas community since 1947. The station was founded by a group of local business leaders, including John Killion, who recognized the need for a dedicated radio voice in the Lubbock area and worked to establish KKAM as a hub for news, sports, and community engagement. Townsquare Media, a national media company, currently owns and operates KKAM. Based in Lubbock, KKAM continues to focus on providing news, sports, and talk radio programming to listeners in Lubbock and the surrounding West Texas region. The station covers a wide range of topics, including local news, high school and college sports, and discussions on community issues that are important to its audience. One interesting fact: KKAM has been recognized for its innovative use of listener feedback and community engagement, regularly soliciting input from its audience to help shape its programming and ensure it remains responsive to the needs and interests of the Lubbock community.
Talk 1340 is ranked N/A among other media sources and has an average of 23,990 monthly visits according to Similar Web.
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Talk 1340 has a Bias Score of -6% Center 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 Average, and additional analytical insights are available in the other tabs.

  • Bias Rating

    -6% Center

  • Policy Leanings

    2% Center

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    -100%
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    100%
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    Average 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

    91% negative

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