Bias Meter

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Bias Meter

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KTEP was founded in October 1946 as WTCM by the Texas College of Mines (now the University of Texas at El Paso). The idea came from the university's desire to create a radio station for educational purposes and to serve the local community. Initially, it was a "carrier current" station that could only be heard on campus. In 1950, under the leadership of Virgil Hicks, head of the Broadcast department, KVOF-FM (as it was then called) became the first FM station in El Paso and one of the first in Texas. Today, KTEP is owned and operated by the University of Texas at El Paso and is affiliated with National Public Radio (NPR).KTEP, based in El Paso, Texas, covers a wide range of news and programming, including local and national news, politics, sports, arts, and culture. As an NPR affiliate, it broadcasts popular network programs while also producing original content such as local news shows, interviews, and community-focused programs. The station serves the Greater El Paso area and beyond through various broadcast frequencies and online streaming.**One interesting fact**: KTEP has a unique distinction of being one of the first radio stations in the United States to broadcast in both English and Spanish. Since its early days in the 1950s, KTEP has provided bilingual programming to serve the diverse population of the El Paso border region, reflecting the bicultural nature of its community.
KTEP is ranked N/A among other media sources and has an average of 24,527 monthly visits according to Similar Web.
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KTEP has a Bias Score of -20% 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: KTEP is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -20% Somewhat Liberal

  • Policy Leanings

    0% Center

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    -100%
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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

    100% negative

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