This story was originally published on HackerNoon at: https://hackernoon.com/two-of-the-markups-investigations-nominated-for-nihcm-award.
Two investigations in The Markup’s Pixel Hunt series are finalists for the 2024 NIHCM award.
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This story was written by: @TheMarkup. Learn more about this writer by checking @TheMarkup's about page, and for more stories, please visit hackernoon.com.

Two investigations in The Markup’s [Pixel Hunt] series are finalists for the [2024 National Institute for Health Care Management Foundation Data-Driven Storytelling Award. Each reporting effort resulted in tangible impact, from lawsuits to companies removing the pixel after we alerted them.

This story was originally published on HackerNoon at: https://hackernoon.com/the-full-stack-artist-how-ls-toy-turns-economics-law-and-surveillance-into-creative-code.
L.S. Toy transforms economics, legality, currency, and surveillance into system-driven conceptual art built for a tech-structured world.
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This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.

L.S. Toy is a London-based conceptual artist who merges economics, legality, currency systems, and conflict architecture into procedural artworks. With a dual background in Economics (LSE) and Fine Art (RCA), he builds projects that function like financial instruments, legal artifacts, or system-level documents. Operating outside traditional galleries—often in warehouses—Toy challenges how value, legitimacy, and power are constructed in a tech-driven world. His art behaves less like painting and more like system engineering.

This story was originally published on HackerNoon at: https://hackernoon.com/automated-content-moderation-how-does-it-work.
Shifting societal norms, technological advances, and the chaos of world events mean we may never reach an equilibrium where content moderation is solved.
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This story was written by: @TheMarkup. Learn more about this writer by checking @TheMarkup's about page, and for more stories, please visit hackernoon.com.

To moderate billions of posts, many social media platforms first compress posts into bite-sized pieces of text that algorithms can process quickly. These compact blurbs, called “hashes,” look like a short combination of letters and numbers, but one hash can represent a user’s entire post.