Slideshow transcript
Slide 1: crowd generated media
Slide 2: Digg Ecosystem • Why should the crowd care? How do you get people to interact w/ your site? • Creating incentives for users on every level • Why should people submit content? (slashdot, del.icio.us) • Why do people Digg? (empower individuals / adding to the total increases views / sharing) • Content -> Diggs -> Quality -> Word of Mouth -> More Traffic -> 3rd Party Site Traffic -> Smart Digg Buttons
Slide 3: Enhancing Digg • How people use Digg today, what do they want to see tomorrow? • 900,000+ Users - Building community tools to manage discussion / Room to breath • Reward system for community-accepted ‘topic level’ activities • Fact checking / system to dispute and review inaccurate information. Community, not paid employees (won’t scale) • Swarming the story w/ additional information (links, pictures, videos) • Location-based opinions (visual diggs / heat map)
Slide 4: Enhancing Digg • Friend recommendations (Digg #3,000 - Who is #2,999?) • Friend vs Tailgate (someone you know or part of your filter?) • Location based introductions • Connections based on more than one data point (Diggs, Buries, Comments, Word strength, Social connections) • Not just friends, but stories (upcoming) • Analyze and understand your data
Slide 9: Flash Visualizations • Flash Toolkit • Latest tools, BigSpy, Stack update • Future apps
Slide 10: Playing Well • Digg API - Extracting your site data (Working w/sites to visualize their data) • Export your attention data • Export friend networks • openID • Del.icio.us, Reddit, Newsvine, Facebook
Slide 11: Quick Stats • 900,000+ Registered users • 50,000,000+ Diggs • 155,000,000+ Pages in January • 200,000+ Sites w/Digg buttons (New York Times, Marketwatch, YouTube, CNET)




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