Read the news with a map

  • You know your favorite outlets under-report on certain topics amplify others.

  • You know that your outlets caters to your world view.

  • You know that reading from multiple outlets is good for you, but you don't have enough time in the day.

  • What if you had a map that showed you how outlets bias you by pushing certain stories?

Legend

Sources Tracked:

๐ŸŸฆ Left: CNN, NBC News, New York Times, Washington Post

โฌœ๏ธ Center: BBC, Reuters, Wall Street Journal

๐ŸŸฅ Right: Fox News, The National Review, Washington Examiner, Washington Times

Attention Bias Categories

Left Ignore ๐ŸŸฆ๐Ÿ™ˆ: The right and center are putting serious attention on this topic and the left isnโ€™t which suggests the right is attempting to minimize this topic.

Right Ignore ๐ŸŸฅ๐Ÿ™ˆ: The left and center are putting serious attention on this topic and the right isnโ€™t which suggests the right is attempting to minimize this topic.

Left Obsess ๐ŸŸฆ๐Ÿ‘: The left is placing much more attention than the center and right on it, suggesting that the left is magnifying this topic.

Right Obsess ๐ŸŸฅ๐Ÿ‘: The right is placing much more attention than the center and left on it, suggesting that the right is magnifying this topic.

Domestic Ignore ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ™ˆ: Internationally-based outlets are putting serious attention on this topic and domestic outlets arenโ€™t.

Bipartisan Obsess ๐ŸŸฆ๐ŸŸฅ๐Ÿ‘: The left and right are placing much more attention than the center on it, suggesting this is a domestic, political or polarizing topic.

United Topics ๐Ÿซฐ: All sides are putting similar levels of attention on this topic which suggests no one is trying to hide this topic but each side may have different perspectives.

Topic Maturity

A way to sift through the 24-hour news cycle for meatier topics

Mature ๐Ÿ” This story is continuing the conversation on a topic thatโ€™s been important for more than 3 weeks.

Ripe ๐Ÿฃ This story is continuing the conversation on a topic thatโ€™s been important for 1 to 3 weeks.

Fresh ๐ŸฅšThis new story is unrelated to any trending topics over the past 3 months. It is unclear if this will mature into a multi-week topic.

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People

Rohan Kshirsagar
Coloring in our information bubbles so you could see them https://linktr.ee/rohankshirsagar
Jeremy Yamaguchi
Currently exploring using AI and language models to reduce media bias. Previously started, scaled and sold a couple consumer startups.