Crowdsourcing: Lessons from Help Me Investigate

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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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http://bit.ly/m21c2Monday, 21 March 2011

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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