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Final Online Journalism lecture to City University postgraduate journalism students
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Online Journalism session 10City UniversityPaul Bradshaw
Crowdsourcing: lessons from Help Me Investigate
Monday, 21 March 2011
1. Why crowdsourcing?2. What we made and why3. What we learned
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What is crowdsourcing?
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"Given enough eyeballs, all bugs are shallow"
Linus' Law, Eric RaymondMonday, 21 March 2011
2 types of crowdsourcing?‘Mechanical Turk’‘Wisdom of Crowds’
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Which one is a journalist?
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Which one is making journalism?
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Florida News-PressTalking Points MemoContaminated pet food
DeBurgh (2008) Investigative Journalism
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Engagement and diversity(Cars, roads and picnics)Failure for free: target 1%Game mechanics
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The situation in which the product of previous work, rather than direct communication [induces and directs] additional labour
Reagle, in Lih (2009) p82
Stigmergy
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Socio-psychological reward (social)Hedonic personal gratification (fun)
Benkler (2006)
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What we did.
Building Help Me InvestigateMonday, 21 March 2011
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FundingBusiness modelStructureLegal issues
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What is ‘success’?
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What worked
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5 ingredients
An alpha userMomentum - results/feedbackModularity (Break-down-able)Public-nessExpertise (Diversity)
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Fire and water investigations
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What next?
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4 problems to solve
EditorialCommunityLegalTechnical
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Open source codeGame: separate tool from teamMore structureCommunity strategy
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from Slideshare.net/unthinkingly
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Questions?
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Links
OnlineJournalismClasses.tumblr.comDelicious.com/paulb/crowdsourcingDelicious.com/paulb/hmicuttingsDelicious.com/paulb/hmi
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Books
Yochai Benkler: The Wealth of NetworksAxel Bruns: GatewatchingAxel Bruns: Blogs, Wikipedia, Second Life and BeyondAndrew Lih: The Wikipedia Revolution
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Last chance to get feedback on your community strategy and group blogs from both your tutor and your peers.
Lab
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