Proceedings of the Joint Workshop on Social Dynamics and Personal Attributes in Social Media

131 Pages·2014·4.65 MB·English

ACL 2014
Joint Workshop on Social Dynamics and Personal Attributes
in Social Media
Proceedings of the Workshop
June 27, 2014
Baltimore, Maryland, USA
(cid:13)c 2014TheAssociationforComputationalLinguistics
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Introduction
These proceedings contain papers presented at the Joint Workshop on Social Dynamics and Personal
Attributes in Social Media. The workshop was held in Baltimore, Maryland, USA and hosted in
conjunctionwiththe52ndAnnualMeetingoftheAssociationforComputationalLinguistics.
Thisworkshopwasintendedtoserveasaforumforsharingresearchin:
I NLP and Social Dynamics: Language is a set of publicly agreed conventions that serves the
purpose of inter-personal communication. Speakers (or writers) try to convey a message, instill
anideaormakeanimpressiononthelisteners. Listeners(orreaders), inturn, areaffectedbythe
message and may respond to it. Language, in that sense, is an important vehicle that shapes (and
isshapedby)socialdynamics.
Traditional NLP research, however, focuses on "documents" (either of full length or on the
sentencelevel),ratherthanonthecommunicationprocessasreflectedbylanguageuse. Common
examples of traditional NLP research are parsing, document classification, machine translation,
andsentimentanalysisatthesentenceanddocumentlevelwithoutconsideringthesocialdynamics
of the people who are writing and reading those texts. We propose to move beyond analyzing
the informational aspect of documents and discuss ways in which NLP can contribute to gaining
insightsabouttheinterplaybetweenlanguageuseandvariouslevelsofsocialdynamics.
II Personal Attributes in Social Media: There are many important social science questions and
commercial applications that are impacted by the large amounts of diverse personalized data
emerging from social media. These data can reveal user interests, preferences and opinions, as
wellastrendsandactivitypatternsforcompaniesandtheirproducts.
Theautomaticpredictionoflatentattributesfromdiscourseinsocialmediaincludestopicssuchas:
inferring user/customer demographic profiles (gender, age, religion, social status, race, ethnicity,
origin); predicting user interests (sports, movies) and preferences (political favorites or product
likes);classifyingsentiment,personality,emotionalstates(onsetofdepression),andopinionsheld
byanauthor;andanalyzinggeneraltrendsandinfluenceforcompaniesandproducts.
We invited original and unpublished research papers on all topics related to NLP and social dynamics
andtext-drivenattributepredictioninsocialmedia,includingbutnotlimitedtothetopicslistedbelow.
NLPandSocialDynamics:
• Emergenceanddiffusionofslang,neologismsandmetaphors
• Emotiondynamicsinsocialmediaconversationthreads
• Evolutionofwordformationandwordmeaning
• Languagecoordinationandlexicalentrainment
• Languageevolutionthroughhistoryandlanguagevariationacrosscommunities
• Linguisticandsocialfactorsinacceptanceofnewwordsandphrases
• Persuasivelanguageand(online)campaigns
• Pragmaticsoflanguage
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• Socialdynamicsin(blog/newsstory)commentthreads
PersonalAttributesinSocialMedia:
• Dynamicandstreamingnatureofsocialmediadata
• Datacollection,sharingandlabelingbiasesforpersonalanalyticsinsocialmedia
• Jointlatentattributeprediction(e.g.,agetogetherwithpoliticalpreference)
• Emotionalstates,distress,mentalconditionclassificationinsocialnetworks
• Mood,sentiment,emotionandopinionanalysisofauthorsinsocialmedia
• Multi-relationalaspectofsocialmedia(e.g.,networksoffriends,followers,usermentionsetc.)
• Scalabilitytootherunderstudiedlanguagesanddialectsinsocialmedia
• Security,identityandprivacyissuesforpersonalanalyticsinsocialmedia.
TheWorkshopCommitteereceived24submissions. Threereviewersreviewedeachsubmission. Forthe
final workshop program, 15 regular papers, 5 to 11 pages each, were selected, 3 papers were rejected
and 3 withdrawn. 3 papers have chosen to be non-archived. Authors affiliations include Computer and
Information Science, Linguistics, Political Science, Nutrition and Health Promotion, History, English
andBusinessandManagement.
We would like to thank all Program Committee members and external reviewers for their effort in
providing high-quality reviews. We thank all the authors who submitted their papers. Many thanks
toourinvitedspeakersandpanelparticipants.
AliceOh,
BenjaminVanDurme,
DavidYarowsky,
OrenTsur,
SvitlanaVolkova
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Organizers:
AliceOh,KoreaAdvancedInstituteofScienceandTechnology
BenjaminVanDurme,JohnsHopkinsUniversity
DavidYarowsky,JohnsHopkinsUniversity
OrenTsur,HarvardUniversity,NortheasternUniversity
SvitlanaVolkova,JohnsHopkinsUniversity
ProgramCommittee:
AbigailJacobs,UniversityofColoradoatBoulder,USA
AlanRitter,CarnegieMellonUniversity,USA
AlejandroJaimes,YahooResearch,Barcelona
AlessandroMoschitti,QatarComputingResearchInstitute,Qatar
AncsaHannak,NortheasternUniversity,USA
AriRappaport,TheHebrewUniversity,Israel
AronCulotta,IllinoisInstituteofTechnology,USA
BrendanO’Connor,CarnegieMellonUniversity,USA
BrianKeegan,NortheasternUniversity,USA
CarloStrapparava,FBK,Italy
Chin-YewLin,MicrosoftResearchAsia
ChrisDyer,CarnegieMellonUniversity,USA
CristianDanescu-Niculescu-Mizil,MaxPlanckInstituteSWS
DanJurafsky,StanfordUniversity,USA
DanielRomero,UniversityofMichigan,USA
DavidSmith,NortheasternUniversity,USA
DelipRao,Amazon,USA
DerekRuths,McGillUniversity,Canada
DongNguyen,UniversityofTwente,Netherlands
EugeneKharitonov,Yandex,Russia
FranciscoIacobelli,NortheasternIllinoisUniversity,USA
GideonDror,Yahoo! Research,USA
GlenCoppersmith,JohnsHopkinsUniversity,USA
HaewoonKwak,QatarComputingResearchInstitute,Qatar
IdanSzpektor,Yahoo! Research,USA
IliaChetviorkin,LomonosovMoscowStateUniversity,Russia
IngmarWeber,QCRI,Qatar
JacobEisenstein,GeorgiaInstituteofTechnology,USA
JamesCaverlee,TexasUniversity,USA
JohnHenderson,MITRE,USA
MargaretMitchell,MicrosoftResearch,USA
MarkDredze,JohnsHopkinsUniversity,USA
MichaelGamon,MicrosoftResearch,USA
MichaelPaul,JohnsHopkinsUniversity,USA
OmriAbend,UniversityofEdinburgh,UK
PatrickPantel,MicrosoftResearch,USA
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PaulCook,UniversityofMelbourne,Australia
PavelBraslavski,KonturLabs,Russia
PavelSergyukov,Yandex,Russia
PhilipResnik,UniversityofMaryland,USA
RebeccaKnowles,JohnsHopkinsUniversity,USA
ReutTzarfati,WeizmanInstituteofScience,Israel
RivkaLevitan,ColumbiaUniversity,USA
RoiReichart,IsraelInstituteofTechnology,Israel
RoySchwartz,TheHebrewUniversity,Israel
SaifMohammad,NationalResearchCouncil,Canada
Silviu-PetruCucerzan,MicrosoftResearch,USA
SouneilPark,UniversityofMichigan,USA
VasileiosLampos,UniversityCollegeLondon,UK
ViviNastase,FBK,Italy
YaelNetzer,BenGurionUniversity,Israel
YoavGoldberg,BarIlanUniversity,Israel
Yu-RuLin,UniversityofPittsburgh,USA
YuvalPinter,Yahoo! Research,Israel
InvitedSpeakers:
DerekRuths,McGillUniversity
HenryKautz,UniversityofRochester
Panelists:
HannaWallach,UMassAmherst
JacobEisenstein,GeorgiaTech
CristianDanescu-Niculescu-Mizil,MaxPlanckInstituteSWS
JimmyLin,UniversityofMaryland
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Table of Contents
DetectingSociostructuralBeliefsaboutGroupStatusDifferencesinOnlineDiscussions
BrianRiordan,HeatherWadeandAfzalUpal...............................................1
UsingCountyDemographicstoInferAttributesofTwitterUsers
EhsanMohammadyandAronCulotta......................................................7
TheEnrollmentEffect: AStudyofAmazon’sVineProgram
DineshPuranamandClaireCardie ....................................................... 17
DiscourseAnalysisofUserForumsinanOnlineWeightLossApplication
LydiaManikonda,HeatherPon-Barry,SubbaraoKambhampati,EricHeklerandDavidW.McDon-
ald.........................................................................................28
AUnifiedTopic-StyleModelforOnlineDiscussions
YingDing,JingJiangandQimingDiao...................................................33
Self-disclosuretopicmodelforTwitterconversations
JinYeongBak,Chin-YewLinandAliceOh................................................42
DetectingandEvaluatingLocalTextReuseinSocialNetworks
ShaobinXu,DavidSmith,AbigailMullenandRyanCordell................................50
GeneratingSubjectiveResponsestoOpinionatedArticlesinSocialMedia: AnAgenda-DrivenArchitec-
tureandaTuring-LikeTest
TomerCagan,StefanL.FrankandReutTsarfaty...........................................58
ASemi-AutomatedMethodofNetworkTextAnalysisAppliedto150OriginalScreenplays
StarlingHunter.........................................................................68
PowerofConfidence: HowPollScoresImpactTopicDynamicsinPoliticalDebates
VinodkumarPrabhakaran,AshimaAroraandOwenRambow...............................77
AsLongasYouNameMyNameRight: SocialCirclesandSocialSentimentintheHollywoodHearings
OrenTsur,DanCalacciandDavidLazer..................................................83
TowardsTrackingPoliticalSentimentthroughMicroblogData
YuWang,TomClark,JeffreyStatonandEugeneAgichtein.................................88
InnovationofVerbsinHebrew
OrnanUzzi ............................................................................ 94
UserTypeClassificationofTweetswithImplicationsforEventRecognition
LalindraDeSilvaandEllenRiloff........................................................98
CollectiveStanceClassificationofPostsinOnlineDebateForums
DhanyaSridhar,LiseGetoorandMarilynWalker.........................................109
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Conference Program
Friday,June27,2014
(8:40–8:50)WelcomeNotes
8:50–9:50 InvitedtalkbyDerekRuths
OralSession1
10:05–10:25 DetectingSociostructuralBeliefsaboutGroupStatusDifferencesinOnlineDiscus-
sions
BrianRiordan,HeatherWadeandAfzalUpal
10:25–10:45 UsingCountyDemographicstoInferAttributesofTwitterUsers
EhsanMohammadyandAronCulotta
OralSession2
10:55–11:10 TheEnrollmentEffect: AStudyofAmazon’sVineProgram
DineshPuranamandClaireCardie
11:10–11:30 DiscourseAnalysisofUserForumsinanOnlineWeightLossApplication
Lydia Manikonda, Heather Pon-Barry, Subbarao Kambhampati, Eric Hekler and
DavidW.McDonald
11:30–12:30 Panel by Hanna Wallach, Jacob Eisenstein, Cristian Danescu-Niculescu-Mizil and
JimmyLin
OralSession3
1:30–1:50 AUnifiedTopic-StyleModelforOnlineDiscussions
YingDing,JingJiangandQimingDiao
1:50–2:10 Self-disclosuretopicmodelforTwitterconversations
JinYeongBak,Chin-YewLinandAliceOh
2:10–2:25 DetectingandEvaluatingLocalTextReuseinSocialNetworks
ShaobinXu,DavidSmith,AbigailMullenandRyanCordell
2:35–3:35 Invitedtalk
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Friday,June27,2014(continued)
OralSession4
3:45–4:00 Generating Subjective Responses to Opinionated Articles in Social Media: An Agenda-
DrivenArchitectureandaTuring-LikeTest
TomerCagan,StefanL.FrankandReutTsarfaty
4:00–4:15 ASemi-AutomatedMethodofNetworkTextAnalysisAppliedto150OriginalScreenplays
StarlingHunter
PosterSession
4:30–5:30 PowerofConfidence: HowPollScoresImpactTopicDynamicsinPoliticalDebates
VinodkumarPrabhakaran,AshimaAroraandOwenRambow
4:30–5:30 AsLongasYouNameMyNameRight: SocialCirclesandSocialSentimentintheHolly-
woodHearings
OrenTsur,DanCalacciandDavidLazer
4:30–5:30 TowardsTrackingPoliticalSentimentthroughMicroblogData
YuWang,TomClark,JeffreyStatonandEugeneAgichtein
4:30–5:30 InnovationofVerbsinHebrew
OrnanUzzi
4:30–5:30 UserTypeClassificationofTweetswithImplicationsforEventRecognition
LalindraDeSilvaandEllenRiloff
4:30–5:30 CollectiveStanceClassificationofPostsinOnlineDebateForums
DhanyaSridhar,LiseGetoorandMarilynWalker
x