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1、WhatisaQuestion?CrowdsourcingTweetCategorizationSharodaA.Paul,LichanHong,EdH.ChiPaloAltoResearchCenter3333CoyoteHillRd,PaloAlto,CA94304.{spaul,hong}@parc.com,chi@acm.orgABSTRACTfollowersonTwitter,naturallyduringtheirnormaluseofOnemajorwayinwhichAmazonMechani
2、calTurkhastheservice.beenusedisinthehumanlabeling(orcoding)ofdata,suchOneofthemainchallengesforuswastoidentifytweetsasastherelevanceofsearchresultsorqualityofWikipediaquestionsduetoseveralreasons:articles.Recently,weusedAmazonMechanicalTurkforclassifyingorla
3、belingTwitterupdatesasquestionsornot.•First,tweetshavedevelopedauniqueconventionforWepresentthedesignofourstudyandthestepsthatwetheuseoflanguage,whichcombinedwiththeir140-tooktoaddressthechallengeswefacedinusingcharacterlengthlimitation,canmakethemhardtoMech
4、anicalTurkforthislabelingtask.Wealsopresentourunderstand.findingsandsomelessonslearntabouttheutilityand•Second,tweetsoftencontainlittlecontext,sincetheyeffectivenessofusingmicro-taskmarketsforconductingaretargetedatfriendswhotypicallyalreadyknowalotlarge-sca
5、lestudiesinvolvinghuman-intelligencetasks.ofcontextabouttheuser.Hence,fromathirdpersonperspective,itwashardtodeterminewhichtweetsAuthorKeywordsSocialQ&A,socialsearch,Twitter,MechanicalTurk.werequestionsaskedbytheTwitterusertotheirsocialnetwork.ACMClassificat
6、ionKeywords•Third,wewereconcernedaboutintroducingourownH5.3.Groupandorganizationalinterfaces:Web-basedbiasregardingwhatisaquestionandwhatisnot.interaction.•Finally,themanualclassificationofthousandsofINTRODUCTIONtweetswastime-consuming,andhencenotscalable.Re
7、searchersareincreasinglyusingAmazonMechanicalWehypothesizedthatMechanicalTurkcouldhelpusdealTurktosourcemicro-tasksthatrequirehumanintelligence,withthesechallenges.Wecrowd-sourcedtheclassificationsuchascategorizationoftextorlabelingofimages[1,4].oftweetsasqu
8、estionsandtriedtoleveragethescalabilityHowever,therearevariouschallengestousingMechanicalandlow-costofusingMechanicalTurk.Turkthatraisequestionsaboutwhetheritisavalidmethodforlabelingandacquirin
