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User Generated Content and Crowdsourcing MIS5801: Singapore Sunil Wattal Adapted from material by Munir Mandviwalla, Steven L. Johnson,

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Presentation on theme: "User Generated Content and Crowdsourcing MIS5801: Singapore Sunil Wattal Adapted from material by Munir Mandviwalla, Steven L. Johnson,"— Presentation transcript:

1 User Generated Content and Crowdsourcing MIS5801: Singapore Sunil Wattal (swattal@temple.edu) Adapted from material by Munir Mandviwalla, Steven L. Johnson, and David Schuff

2 Web 2.0 is “social” Web 1.0 Non interactive One-way flow Web 2.0 Interactive User generated Web 3.0 “The semantic web” FacebookTwitterLinkedin YouTubeFlickrSquidoo deliciousdiggBlogging* User Generated Content User Generated Content

3 Implications of User Generated Content Power shifts Transformation of existing business models Changing notions of privacyInformation overload

4 What’s the difference between… …and what is similar?

5 Crowdsourcing Condorcet's jury theorem (i.e., Sunstein, 2006) If each voter is right more than half of the time, then adding more people greatly increases accuracy of majority decision.

6 Applications Voting determines the most interesting stories on the web Social Bookmarking (digg) People choose to fund citizen journalism based on a proposal (real money) Crowdfunding (spot.us) People buy and sell “stocks” in movies and television shows (fake money) Prediction Markets (hsx.com)

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