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Bias Meter

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Bias Meter

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Lifehacker was founded in January 2005 by Gina Trapani, a tech enthusiast and writer. The idea for Lifehacker came from Nick Denton, founder of Gawker Media, who envisioned a blog focused on productivity tips and life hacks. Trapani, who was working as a web developer at the time, was hired to bring this vision to life. She started the site with the goal of sharing clever tips and tricks to help people work smarter and live better. In 2019, Lifehacker was acquired by G/O Media, a company formed after Univision sold Gizmodo Media Group and The Onion. Based in New York City, Lifehacker covers a wide range of topics aimed at improving readers' lives, including technology, personal finance, health and wellness, productivity, and lifestyle. While not a traditional news site, Lifehacker often reports on current trends and developments in these areas, offering practical advice and solutions. The site is known for its user-friendly guides, how-to articles, and product recommendations that help readers navigate the complexities of modern life and work more efficiently. One interesting fact: A unique aspect of Lifehacker is its commitment to open-source solutions. In its early days, the site heavily promoted free and open-source software alternatives to popular commercial products. This approach not only helped readers save money but also introduced many to the world of open-source technology, fostering a community of tech-savvy, resourceful individuals who often contribute their own tips and tricks to the site.
Lifehacker is ranked N/A among other media sources and has an average of 8,654,000 monthly visits according to Similar Web.
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Lifehacker has a Bias Score of 2% 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

    2% Center

  • Policy Leanings

    -16% Somewhat Liberal

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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

    N/A

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