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Tehran Times, Iran's leading English-language daily newspaper, was established in 1979 during a pivotal period in the country's history. The newspaper was founded with the aim of providing an Iranian perspective on national and international affairs to English-speaking audiences both within Iran and abroad. While specific details about the founder are not available, the newspaper was created to bridge the gap between Iran and the international community through journalism. Currently, Tehran Times operates under the supervision of the Islamic Ideology Dissemination Organization, a cultural institution in Iran. Today, Tehran Times covers a wide range of topics including Iranian and global news, politics, economics, culture, and sports. Based in Tehran, Iran's capital city, the newspaper offers insights into Iranian and global affairs, contributing to a deeper understanding of Iran's socio-political landscape and its interactions with the international community. Tehran Times publishes both print and online editions, making it accessible to readers worldwide who are interested in gaining perspectives on Iran's role in global affairs and regional dynamics. **One interesting fact**: Tehran Times holds the distinction of being the first English-language newspaper to be published in Iran after the 1979 Islamic Revolution. This pioneering role has made it a significant source for understanding post-revolutionary Iran from an insider's perspective, attracting attention from diplomats, researchers, and international observers interested in Iranian affairs.
Tehran Times is ranked 7,537 among other media sources and has an average of 401,731 monthly visits according to Similar Web.
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Tehran Times has a Bias Score of 12% 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 Average, and additional analytical insights are available in the other tabs.

  • Bias Rating

    12% Somewhat Conservative

  • Policy Leanings

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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

    N/A

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