Gothamist Article Rating

5 years since COVID struck NYC, a look at how it changed how we live and work

Mar 10, 2025 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    95% ReliableExcellent

  • Policy Leaning

    10% Center

  • Politician Portrayal

    2% Negative

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. 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.

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Bias Meter

Contributing sentiments towards policy:

58% : Schools closed on March 16, and bars, restaurants, and most workplaces soon followed.
53% : “Prior to COVID, 100% of our work was in person, and then during COVID, it suddenly switched almost overnight to 100% being remote telehealth,” said Dr. Jeffrey Brenner, CEO of the Jewish Board, a mental health nonprofit that serves a mix of Medicaid and commercially insured patients across the five boroughs.
46% : Medicare, the federal insurance program for older adults, may also soon put some restrictions back in place on coverage for remote therapy that were lifted during the pandemic.
44% : Before the pandemic, the public schools had a total enrollment of 1.1 million students.
37% : The job losses, coupled with so many downtown workers working from home, fueled talk in academic and government circles of a dreaded “doom loop” that would send New York City and other urban centers reeling and fuel decline as empty office space begat falling real estate values and shrinking tax revenues.

*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.

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