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:

🟦 Left: CNN, NBC News, New York Times, Washington Post

⬜️ Center: BBC, Reuters, Wall Street Journal

πŸŸ₯ Right: Fox News, The National Review, Washington Examiner, Washington Times

Attention Bias Categories

Left Ignore πŸŸ¦πŸ™ˆ: The right and center are putting serious attention on this topic and the left isn’t which suggests the right is attempting to minimize this topic.

Right Ignore πŸŸ₯πŸ™ˆ: The left and center are putting serious attention on this topic and the right isn’t which suggests the right is attempting to minimize this topic.

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

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

Domestic Ignore πŸ‡ΊπŸ‡ΈπŸ™ˆ: Internationally-based outlets are putting serious attention on this topic and domestic outlets aren’t.

Bipartisan Obsess 🟦πŸŸ₯πŸ‘: 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 🫰: 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 πŸ” This story is continuing the conversation on a topic that’s been important for more than 3 weeks.

Ripe 🐣 This story is continuing the conversation on a topic that’s been important for 1 to 3 weeks.

Fresh πŸ₯šThis 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.

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.