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1、TowardsSocialNormDesignforCrowdsourcingMarketsChien-JuHoYuZhangUniversityofCalifornia,LosAngelesUniversityofCalifornia,LosAngelescjho@cs.ucla.eduyuzhang@ucla.eduJenniferWortmanVaughanMihaelavanderSchaarUniversityofCalifornia,LosAngelesUniversityofCalifornia,LosAngel
2、esjenn@cs.ucla.edumihaela@ee.ucla.eduAbstracttimeofdayornight.Inpractice,theyareplaguedbywork-erswhoattempttoexertaslittleeffortaspossible(Ipeiro-Crowdsourcingmarkets,suchasAmazonMechanicalTurk,tis,Provost,andWang2010),andrequesterswhoadvertiseprovideaplatformformat
3、chingprospectiveworkersaroundspammytasksordenyworkerspaymentfortaskscompleted.theworldwithtasks.However,theyareoftenplaguedbyworkerswhoattempttoexertaslittleeffortaspossible,andToaddressthisproblem,weadvocateincorporatinganex-requesterswhodenyworkerspaymentfortheirl
4、abor.Forplicitincentivemechanismintothedesignofcrowdsourcingcrowdsourcingmarketstosucceed,itisessentialtodiscour-markets.Inparticular,weproposeaclassofincentivemech-agesuchbehavior.Withthisinmind,weproposeaframe-anismsbasedonsocialnorms(Kandori1992).Asocialworkforth
5、edesignandanalysisofincentivemechanismsnormconsistsofasetofrulesthatparticipantsareexpectedbasedonsocialnorms,whichconsistofasetofrulesthattofollow,andamechanismforupdatingparticipants'publicparticipantsareexpectedtofollow,andamechanismforup-reputationsbasedonwhethe
6、rornottheydo.Forexample,indatingparticipants'publicreputationsbasedonwhetheroracrowdsourcingmarket,workersmaybeencouragedtoex-nottheydo.Westartbyconsideringthemostbasicversionerthigheffortonlyfortaskspostedbyrequesterswhohaveofourmodel,whichcontainsonlyhomogeneouspa
7、rticipantsmadepaymentsontimeinthepast.Ourgoalistodevelopaandrandomlymatchesworkerswithtasks.Theoptimalsocialnorminthissettingturnsouttobeasimple,easilycompre-formalframeworktohelpplatformdesignersidentifyopti-hensibleincentivemechanisminwhichmarketparticipantsmalsoc
8、ialnormsfortheirapplications,takingintoaccountareencouragedtoplayatit-for-tat-likestrategy.Thissimpleparametersabouttheenvironmentandthepa
