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1、TowardsSocialNormDesignforCrowdsourcingMarketsChien-JuHoYuZhangUniversityofCalifornia,LosAngelesUniversityofCalifornia,LosAngelescjho@cs.ucla.eduyuzhang@ucla.eduJenniferWortmanVaughanMihaelavanderSchaarUniversityofCalifornia,LosAngelesUniversityofCalifornia,LosAngelesjenn@cs.ucla.edu
2、mihaela@ee.ucla.eduAbstracttimeofdayornight.Inpractice,theyareplaguedbywork-erswhoattempttoexertaslittleeffortaspossible(Ipeiro-Crowdsourcingmarkets,suchasAmazonMechanicalTurk,tis,Provost,andWang2010),andrequesterswhoadvertiseprovideaplatformformatchingprospectiveworkersaroundspammyt
3、asksordenyworkerspaymentfortaskscompleted.theworldwithtasks.However,theyareoftenplaguedbyworkerswhoattempttoexertaslittleeffortaspossible,andToaddressthisproblem,weadvocateincorporatinganex-requesterswhodenyworkerspaymentfortheirlabor.Forplicitincentivemechanismintothedesignofcrowdso
4、urcingcrowdsourcingmarketstosucceed,itisessentialtodiscour-markets.Inparticular,weproposeaclassofincentivemech-agesuchbehavior.Withthisinmind,weproposeaframe-anismsbasedonsocialnorms(Kandori1992).Asocialworkforthedesignandanalysisofincentivemechanismsnormconsistsofasetofrulesthatpart
5、icipantsareexpectedbasedonsocialnorms,whichconsistofasetofrulesthattofollow,andamechanismforupdatingparticipants'publicparticipantsareexpectedtofollow,andamechanismforup-reputationsbasedonwhetherornottheydo.Forexample,indatingparticipants'publicreputationsbasedonwhetheroracrowdsourci
6、ngmarket,workersmaybeencouragedtoex-nottheydo.Westartbyconsideringthemostbasicversionerthigheffortonlyfortaskspostedbyrequesterswhohaveofourmodel,whichcontainsonlyhomogeneousparticipantsmadepaymentsontimeinthepast.Ourgoalistodevelopaandrandomlymatchesworkerswithtasks.Theoptimalsocial
7、norminthissettingturnsouttobeasimple,easilycompre-formalframeworktohelpplatformdesignersidentifyopti-hensibleincentivemechanisminwhichmarketparticipantsmalsocialnormsfortheirapplications,takingintoaccountareencouragedtoplayatit-for-tat-likestrategy.Thissimpleparametersabouttheenviron
8、mentandthepa
