This Content Discovery Engine Finds Articles Outside of Your Filter Bubble
Alyson Wyers — November 11, 2014 — World
This content discovery app helps you find news that is less personalized in an effort to broaden users' horizons and make them more informed. Developed by Jarno Mikael Koponen, the Random app (previously known as Futureful) is an engine that's designed to break filter bubbles and ensure a wider selection of stories reach the public.
Inspired by Eli Parisier's book, the news reader app offers a web of color-coded keywords instead of a linear infinity scroll. Users select a different shape and it will expand to fit your phone's screen, showing you different articles that aren't affected by trends that are buzzing or what people in your social networks are looking at. The content discovery tool does this by combining algorithms and human curation.
Inspired by Eli Parisier's book, the news reader app offers a web of color-coded keywords instead of a linear infinity scroll. Users select a different shape and it will expand to fit your phone's screen, showing you different articles that aren't affected by trends that are buzzing or what people in your social networks are looking at. The content discovery tool does this by combining algorithms and human curation.
Trend Themes
1. Decentralized News Selection - Develop apps that allow users to select and prioritize news outside of personalized filters to broaden their knowledge.
2. Keyword-based Newsreading - Create apps that use color-coded keywords instead of an automated algorithm to provide more diverse news stories to users.
3. Human-curated News - Develop apps that utilize a combination of algorithms and human curation to provide users with news that is not influenced by personalized trends or social networks.
Industry Implications
1. Media and Journalism - Develop new content discovery tools for media organizations to enhance their news coverage by providing access to a broader range of stories.
2. Technology - Create new keyword-based newsreading apps that utilize AI and machine learning algorithms to provide more up-to-date news to users.
3. Education - Incorporate decentralized news selection in educational tools to provide students with a broader perspective on current events.
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