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1、WWW2009MADRID!Track:DataMining/Session:OpinionsHowOpinionsareReceivedbyOnlineCommunities:ACaseStudyonAmazon.comHelpfulnessVotesCristianDanescu-Niculescu-MizilGueorgiKossinetsJonKleinbergDept.ofComputerScienceGoogleInc.Dept.ofComputerScienceCornellUniversityMountainView
2、,CA94043USACornellUniversityIthaca,NY14853USAgkossinets@google.comIthaca,NY14853USAcristian@cs.cornell.edukleinber@cs.cornell.eduLillianLeeDept.ofComputerScienceCornellUniversityIthaca,NY14853USAllee@cs.cornell.eduABSTRACTisalsoincreasinglyimportantintheuserinteraction
3、dynamicsoflargeparticipatoryWebsites.Therearemanyon-linesettingsinwhichuserspubliclyexpressHerewedevelopaframeworkforunderstandingandmodelingopinions.Anumberoftheseoffermechanismsforotherusershowopinionsareevaluatedwithinon-linecommunities.Theprob-toevaluatetheseopinio
4、ns;acanonicalexampleisAmazon.com,lemisrelatedtothelinesofcomputer-scienceresearchonopinion,wherereviewscomewithannotationslike“26of32peoplefoundsentiment,andsubjectivecontent[18],butwithacrucialtwistinthefollowingreviewhelpful.”Opinionevaluationappearsinmanyitsformulat
5、ionthatmakesitfundamentallydistinctfromthatbodyoff-linesettingsaswell,includingmarketresearchandpoliticalofwork.Ratherthanaskingquestionsoftheform“WhatdidYcampaigns.Reasoningabouttheevaluationofanopinionisfunda-thinkofX?”,weareasking,“WhatdidZthinkofY’sopinionmentallyd
6、ifferentfromreasoningabouttheopinionitself:ratherofX?”Crucially,therearenowthreeentitiesintheprocessratherthanasking,“WhatdidYthinkofX?”,weareasking,“WhatdidZthantwo.Suchthree-levelconcernsarewidespreadineverydaythinkofY’sopinionofX?”Herewedevelopaframeworkforan-life,a
7、ndintegraltoanystudyofopiniondynamicsinacommu-alyzingandmodelingopinionevaluation,usingalarge-scalecol-nity.Forexample,politicalpollswillmoretypicallyask,“HowdolectionofAmazonbookreviewsasadataset.Wefindthattheper-youfeelaboutBarackObama’spositionontaxes?”than“Howdoceiv
8、edhelpfulnessofareviewdependsnotjustonitscontentbutyoufeelabouttaxes?”or“WhatisBarackObama’spositiononalsobutalsoinsu
