Does Social Media Use Reflect Political Preferences and ... · In this paper I look at the role of...
Transcript of Does Social Media Use Reflect Political Preferences and ... · In this paper I look at the role of...
DoesSocialMediaUseReflectPoliticalPreferencesandVoting?DanielleTackoor
DanielleTackoor
TableofContents
Introduction..............................................................................................................................3
LiteratureReview....................................................................................................................6The2009GermanFederalElection.............................................................................................6The2012U.S.PresidentialElection............................................................................................8The2014IndianGeneralElection............................................................................................10
Methodology...........................................................................................................................12AnalysisofData.....................................................................................................................13The2009GermanFederalElection..........................................................................................13The2012U.S.PresidentialElection.........................................................................................15The2014IndianGeneralElection............................................................................................17
Conclusion...............................................................................................................................19WorksCited……………………………………………………………………………………………………….19
IntroductionTheriseofonlinemedia–socialnetworkingsites,blogs,email,andotheronlinemediaplatformshasprovidedthepublicwithanewavenueforparticipatorycitizenship,informationandknowledgesharing,inclusionandempowerment.Socialmediasitescanserveasplatformsforcampaigns,publicdebateandactasabasisformonitoringtrends.Intheory,digitaltechnologyallowsleaderstoengageinanewlevelof“conversation”withvoters,transformingthecampaignintosomethingmoredynamic,moreofadialogue,thanitwasinthe20thcentury.1Fromthe2008U.S.presidentialelectionstothefederalelectionofthenationalparliamentinGermanyin2009,totheArabSpringin2011,politiciansandcitizenshavevoicedtheiropinionsandfostereddiscussionsonFacebookandTwitter.
ThefirstsuccessfuluseofharnessingsocialmediaasapoliticalplatformwasBarackObama’spresidentialcampaignin2008.Obamahadmorethan2millionAmericansupportersonFacebook,112,000peopletweetingabouthim,and115,000subscriberstohisYouTubechannel.Obamachangedthelandscapefromcreatingrelationshipsandin-personconversationstotakingtheseactionsonlineandinvolvingtheproletariattodiscusshispolicies.Followingthe2008U.S.Presidentialelection,socialmediahasbecomeacriticalcomponentinacampaign’scommunicationsstrategy.Campaignsareincreasinglymonitoringthecontentofonlinemessagesandtryingtorecreatetheirmessagesaroundthepublicsentiment.
Socialmediahasonlybeenusedinelectionsforthepast8yearsby
candidatesandbythepeople.Mostcampaignsareslowtoadoptnewtechnologiesandliketomakesuretheyhaveaprovenmethodofsuccessbeforeimplementingthemintotheirplans.WhileFacebookandTwitterwerecreatedin2004and2006respectively,campaignsdidnotfullyutilizethesetoolsuntil2010.Socialmediaisbeneficialforbothcandidatesandvoters.FacebookandTwittercanprovidecampaignswithinformationaboutpotentialvoters,aplatformforcirculatingmessages,andaspaceinwhichtoaskandencourageanyvarietyofparticipatory
1PewResearchCenter:Journalism&MediaStaff.HowthePresidentialCandidatesUseWebandSocialMedia.(PewResearchCenter,2012),1.
ABSTRACT
InthispaperIlookattheroleofsocialmediaplatformsduringanelectionyear.Bylookingattweets,hashtagsandmentionsofcertainpoliticalcandidatesIcomparewhatissaidonlinetopublicopinionpollsconductedduringtheelectionandthefinalelectionresult.andhowmicroblogginghowsocialmediaplatform
actions.2Thealgorithmsusedbybothwebsitesalsohelptocreateaboostingettingacandidate’smessageouttomorepeople.Whenapostislikedorsharedbyahighnumberofpeopleoneisfriendswithorfollows,thesesiteswillmakesureyouseethiscontent,sincethe(sites)believeitisimportanttoyouasauser.In2010,52%ofadultsintheUnitedStates,whichamountedto73%ofInternetusers,wentonlinetogetnewsorinformationregardinganelection.Outofthoseadultspolled,32%usedtheInternetastheirmainsourceofpoliticalinformation.3
Beforethe2008U.S.presidentialelection,mostcitizensthroughouttheglobereceivedtheirnewsfromtraditionalmediaoutletssuchasprint(newspapers),televisionandradio.Therehavebeenmultiplestudiesonhoweachmediumhasabiastothemandprojectstheirrespectiveviewsandbeliefsontotheiraudience.Thisbiascaninfluencevoters,especiallymoderatevoters.Anendorsementfromapublicationisinfluentialinthesensethatvotersaremorelikelytosupporttherecommendedcandidateafterpublicationoftheendorsement.4
Themediahasbeenakeyingredientinthedevelopmentofawell-
functioningdemocracy.5Ithashelpedmanyvotersmakeinformeddecisionsonwhichcandidatetheyshouldvotefor.Newsoutletsareassumedtoreceiveunbiasedsignalsovercandidatequality.But,itistheroleofthepublicationtoreceiveinformationonthecandidatequalityandmakeendorsementsbasedoffofthisinformationaswellastheirownpoliticalviewpoints.Voterswanttobeinformedonacandidate’spositionandplatform,andinordertomakethebestdecisionbasedofftheirviews,theyturnedtoabetter-informedsource.Whiletraditionalmediaoutletsareinformative,theytendtohaveabiastothemanddonotfosteraconversationbetweentheirideologiesandthecitizens.InastudyconductedbythePewResearchCenter,49%ofrespondentsreportedthattheyhad“hardlyanyconfidenceinthemedia”,asopposedto“agreatdealofconfidence”or“someconfidence”.6
TheadventofsocialmediachannelslikeTwitterischangingthelandscapeof
citizenryanddemocracy.Insteadofvotersbeingtoldaboutacandidate’sposition,Twittercreatesaplatformwherecandidatescandiscusstheirviewsandcitizenscanvoicetheiropinionsonthoseviews,thusfosteringabackandforthconversation.Traditionalmediaonlyfulfilledpartofwhatsocialmediaisdoingtoday.Whilecandidatescouldbroadcasttheirstanceonvariousissues,therewasnoplatformforconversationbetweenthecandidatesandthecitizens.Thebiggestdifferencebetweensocialmediaandtraditionalmedia,isthattraditionalmediais
2JessicaBaldwin-Philippi,UsingTechnology,BuildingDemocracy:DigitalCampaigningandtheConstructionofCitizenship(OxfordUniversityPress2015),22.3AaronSmith,TheInternetandCampaign2010(PewInternet&AmericanLifeProject,2011)4MediaBiasandInfluence:EvidencefromNewspaperEndorsements5Ibid.6Ibid.
passive.Socialmedianotonlyencouragesaresponsefromfansandfollowersbutrequiresone.Forthemostpart,traditionalmediaisnotinteractiveanddoesnotfosterconnectivity.Whilepeoplecouldwriteletterstotheeditororcallintoaradioprogramtogivetheirthoughtsonthesubjectmatter,TwitterandFacebookallowingmorepeopletobeheard.Theycanjoininonconversationsbyusingcertainhashtagsandcommunicatewithpeoplealloverthecountry.
Inthespringof2011,hundredsofthousandsofyouthactivistsacrossthe
MiddleEastusedTwittertomobilizeandspreadthewordaboutprotestsagainsttheirrespectivegovernments.Sincethen,politicalscientistshavebeenfascinatedbytheimpactsocialmediahasonpoliticalmobilizationandwhetheritcanpredicttheoutcomeofelections.Actingasabullhorn,isTwittermoreeffectiveintakingacensusofthenation’sattitudestowardsapoliticalcandidatemoresothantraditionalopinionpolls?
Whilescholarshavelookedatelectionsintheirowncountries,thispaper
seekstousetheexistingresearchthatisoutthereandapplythosefindingstosomeofthemosttalkedaboutinternationalelectionstoconfirmordenyifsocialmediaconversationscanpredicttheoutcomeofelections.Theaimofthepaperistoprovidetheinternationalpoliticalcommunitywithcomparativeresearchthattheycanusewhenconductingtheirresearch.Thisanalysisoftweetsmentioningpoliticalpartiesorcandidatescandemonstratetheclosecorrespondencetotheparties’andpoliticians’positionsindicatingthatthecontentof140-characterTwittermessagesplausiblyreflectstheofflinepoliticallandscape.
Thispaperattemptstoseeifwhatissaidonlinemirrorstheresultsofan
election.Doesthepoliticalatmosphereonlinemimictheendresultsofanelection?Iwillanswerthisquestionbylookingatthreecasestudiesinternationally:the2009Germanfederalelection,the2012U.Spresidentialelection,andthe2014Indiangeneralelection.Eachoftheseelectionsissignificantbecauseoftheirdates.Beforesocialmediatookoffasapoliticalmeasuringtool,theGermanfederalelectionwasheld.The2012U.S.presidentialelectionhappenedatatimewhenpoliticalscientistsandresearchersstartedtounderstandtheimportanceofsocialmediaandwantedtoseehowiteffectedelections.The2014IndiangeneralelectionwascalledtheTwitterelection.By2014,TwitterpositioneditselfasaplatformwhereIndiancitizenscouldgetnewsandupdatesregardingtheelectiononthatplatform.Myresearchwillincludefindingcorrelationsbetweentheopinionpollsconductedintheweeksleadinguptotheelectionandthefinalelectionresultscomparedwiththementionsandattitudesofacandidatesnameandrelevanthashtags.Iwillbetakingintoaccountthelocationoftweetssent,theinflectionofthetweets(weretheypositiveornegative),andthenumberofpeoplechattingaboutacandidateandtheirpoliticalparty.IhypothesizethatwhatissaidonTwitter,doesinfactmirrorthepoliticallandscapeofthatgivenelectionanddoespredictwhowillwintheelection.SomeofthefactorsIwillbeconsideringaretheeconomicdevelopmentofthecountry,freedomofspeech,andaccesstoInternet.
LiteratureReviewTherehavebeenmanycasestudiesontheimpactofsocialmediaonvariouselectionsthroughouttheworld.Butnonehavelookedatdifferinginternationalcasesfromvariouspointsintimetoseehowglobalpoliticsisinfluenced.Bylookingattheonlinepoliticallandscapeofeachcasestudywecandecipherhowworldleaderswillinteractwitheachotherandhowtheywillworktogethertoformglobalpolicy.
Politicalscientistshavelookedatifsocialmediahasanimpactonelectionsintheircountries.BelowIreviewthefindingsfromastudyonthe2009Germanfederalelection,the2012U.Spresidentialelectionandthe2014IndianGeneralelection.
The2009GermanFederalElectionThedatasetprovidedbyateamofpoliticalscientistsattheUniversityofMunichsetsthetestingstandardsformyresearchonotherelectionsaroundtheglobe.TheseresearcherswantedtoevaluateifTwittermessagesreflectedtheofflinepoliticalattitudesinameaningfulwayandifafteranalyzingthosetweets,whethertheactivityonTwittercanbeusedtopredictthepopularityofpartiesinthe“realworld”.Theresearchersused104,003tweetspublishedintheweeksleadinguptothefederalelectionofthenationalparliamentinGermany,whichtookplaceonSeptember27th,2009.7Duringthiselectioncycle,manyGermanscalledtheparties’campaignsuninspiringduetotheunwillingnessofthemaincandidatestoattacktheirthen-coalitionpartners.
ToseeifTwitterwasausefulplatformforpoliticaldeliberation,thepolitical
scientistscollectedalltweetsthatcontainedthenamesofthe6partiesrepresentedintheGermanparliamentandselectedpoliticiansoftheseparties.Anotheraspecttheseresearcherstookintoaccountwassentiment.Byfocusingon12dimensions(futureorientation,pastorientation,positiveemotions,negativeemotions,sadness,anxiety,anger,tentativeness,certainty,work,achievement,andmoney),toprofilepoliticalsentimenttheywereabletotestemotion.
Intheirresults,theresearchersfoundthatdespiteonlyhavinga140-
characterlimit,substantiveissuescanbeexpressed.Figure1showsthenumberofmentionsandasampletweetforallpartiesthatwerebeingtested.
7AndranikTumasjan,TimmO.Sprenger,PhilippG.Sandner,IsabellM.Welpe,PredicitingElectionswithTwitter:What140CharactersRevealaboutPoliticalSentiment(TechnischeUniversitätMünchen2010),178.
Party Tweets NumberofTweets ExamplesCDU 30,866 CDUwantsstrictrulesfor
internetCSU 5,748 CSUcontinuesattackson
partnerofchoiceFPD
SPD 27,356 OnlyamatteroftimeuntiltheSPDdissolves
FDP 17,737 WhoeverwantscivilrightsmustchooseFDP!
LINKE 12,689 SocietyforHumansRightsrecommends:NogovernmentparticipationforLINKE
Grüne(GreenParty) 8,250 AfterthecrisisonlyGreencanhelp(link)
Figure1:TweetsbyPartyintheGermanFederalElection
ToseeifTwitterwasareflectionofpoliticalsentimentthisteamanalyzedtweetsfromprofilesofthepoliticians.Figure2showstheprofilesfortheleadingcandidatesofthe5mainparties:AngelaMerkel(CDU),Frank-WalterSteinmeier(SPD),GuidoWesterwell(FDP),JürgenTrittin(Grüne),andOskarLafontaine(Linke).Overall,theemotionsdisplayedthroughthemessagesweremostlypositive.
Figure2:Profilesofleadingcandidates
TounderstandTwitterasapredictorofelectionresultswemustfirstcomparetheshareofattentionthepoliticalpartiesreceiveonlinewiththeelectionresult.Then,wecananalyzewhethertweetscaninformthepublicaboutideologicalties.Figure3showsthenumberoftweetsmentioningaparticularpartyandthecorrespondingelectionresults.Whatwasfoundwasthatthenumberoftweetsandtherankingbyshareofvotesintheelectionarenearlyidentical.Thus,therelativevolumeoftweetsmirrorstheresultsoftheGermanfederalelection.Thedatashowsthatthenumberoftweetsmentioningapoliticalpartyisanaccuratereflectionofthevoteshareandtheplatform’spredictivepowercomesclosetotraditionalpolling.
Party AllMentions Election
NumberofTweets
ShareofTwittertraffic
ElectionResult
Predictionerror
CDU 30,886 30.1% 29.0% 1.0%
CSU 5,748 5.6% 6.9% 1.3%
SPD 27,356 26.6% 24.5% 2.2%
FDP 17,737 17.3% 15.5% 1.7%
LINKE 12,689 12.4% 12.7% 0.3%
Grüne 8,250 8.0% 11.4% 3.3%
Figure3:Shareoftweetsandelectionresults
The2012U.S.PresidentialElectionIn2013,MaggieDalton-HoffmanstudiedhowtheObamacampaignandtheRomneycampaignusedsocialmediatoattractvoters.Dalton-Hoffmanlookedathowmucheachcampaignspentoncost-per-clickadvertising,howmanytweets/socialmediapostseachcampaignsentoutperday,andhowmanyfollowerseachcandidatehad.
The2012U.S.presidentialelectionbetweenincumbentPresidentBarackObamaandformerGovernorMittRomneyallowedtheAmericanpeopletobecomefamiliarwiththecandidates.ByutilizingsocialmediaplatformsboththeObamacampaignandtheRomneycampaignexpandedpoliticalmembershiptotheonlinemasses,givingsocialmediauserstheopportunitytoexpresstheirideologies,partyaffiliation,andultimatelyconnectwiththecandidates.8Bybeingabletolike,retweet,comment,andclickonposts,socialnetworkersweregivendifferentmethodsofindividuallyhelpingtocampaignforeitherObamaorRomney.9
8MaggieDaltonHoffman.TheEffectofSocialMediaonthe2012U.SPresidentialElection.(TrinityCollegeDigitalRepository2013),3.9Ibid.
Dalton-HoffmanfoundthattheObamacampaigncameoutastheclear
winnerofthesocialmediabattle.Bymakingiteasytoshareandlikeposts,theObamacampaigncreatedaseamlessformofparticipatorycitizenship.Figure4showsthenumberoffollowerseachofthecandidateshadasofOctober25th,2012,aweekpriortotheelection.OfthepeoplewhocompletedanexitpollaftervotingonNovember6th,2012,69%reportedusingsocialmediatohavesomethingrelatedtothe2012presidentialcampaign.10Oneofthebiggestfindingsofherstudywasthattherewasadifferencebetweenthevotingtendenciesofconservativeswhousesocialmediaandliberalswhousesocialmedia.79%ofliberalsreportedusingsocialmediawhileonly60%ofconservativesreportedusingsocialmedia.11ThehigherpercentageofDemocratsonsocialmediasitesmeansthatundecidedvoterswouldbeexposedtoahigherconcentrationofliberallyalignedpostscomparedtoconservativeones.12
Figure4:TheNumberoffollowerseachcandidatehadonTwitter,Facebook,Pinterest,andYouTubeasofOctober25th,2012
Dalton-HoffmanfoundthatnotonlydidObamaleadinthenumberoffollowersonTwitter,Facebook,PinterestandYouTube,buthiscampaignalsoputoutmoreinformationcomparedtohisopponent.Figure5showsthedigitalactivityofbothcandidates.ObamaledMittRomneyineverycategoryexceptforFacebook.FromJune4th–June17th,2012theObamacampaignpublishedatotalof614postsonsocialmediasites,comparedto148fromRomney.13
ThesocialmediaconversationpostedaboutthecandidatesfavoredObama
overRomney.AstudyconductedbythePewResearchCenterlookedattheattitudesintweetsonObamaandRomney.Therewere11,179,535tweetspostedaboutPresidentObama,whiletherewas7,740,922tweetspostedaboutRomneypostedbetweenAugust27th–September23rd,2012.14OnTwitter,17%ofthetweetsabout
10Ibid.11Ibid.12Ibid.13Ibid.14Ibid.
Romneywerepositiveand59%werenegative.15Ontheotherhand,tweetsaboutObamawere25%positiveand44%negative.16
Figure5:NumberofaldigitalpostsstudiedfromJune4th-17th,2012
Dalton-HoffmancomestotheconclusionthattheObamacampaign’sbetter
utilizationofsocialmediaspreadthewordofObama’smessageandhelpedhimconnecttotheonlinecommunity.ConnectingwiththoseonlineandgivingthemgreatcontenttoshareObama’ssocialmediacanattributepoststohelpinghimwinthe2012U.S.presidentialelection
The2014IndianLokSabhaElectionLikethepreviouscasestudies,analysisonthe2014IndianLokSabhaelectionfocusesonhowcandidatesusedmicrobloggingsiteslikeTwittertospreadpoliticalawareness.KokilJaidkafromtheWeeKimWeeSchoolofCommunicationsandInformationattheNanyangUniversityinSingaporeandSaifuddinAhmedfromtheDepartmentofCommunicationsattheUniversityofCalifornia,DavisintheUnitedStateslookedat98,396tweetspostedbytheofficialTwitteraccountsofthetoptenpoliticalpartiesduringatwomonthperiodpriortotheelectionandconductedananalysistoidentifytheoveralltrendinusage,theinteractivecharacteristicsoftweetsandthefunctionsdrivingtheTwitterusageofpoliticalparties.TheybelievethatonlinenetworkingsiteslikeTwittercomplementofflineinteractionsandrelationships.TheirfindingsfoundthatthemoresuccessfulpartiesusedTwittertopublishtimelyupdatesononlineandofflinecampaignactivities.
15Ibid.16Ibid.
0
50
100
150
200
250
300
350
400
450
Facebook Twitter YouTube Blog
Obama
Romney
Theirstudysoughttoanswerthefollowingquestions:
• ResearchQuestion1:WhichpoliticalpartiesinIndiaactivelyusedTwitteraspartoftheircampaign?
• ResearchQuestion2:WhichpoliticalpartieswereusingTwitterforconnectingandinteractingwithothers?
• ResearchQuestion3:Whomwerepoliticalpartiesinteractingwith?• ResearchQuestion4:Whatwastheinformationfunctionofthetweetsposted
bythesepoliticalparties?•
Thedatacollectedforthisstudywasfoundfromtweetspostedonthe10mostpopularofficialpoliticalpartyTwitteraccounts:theBharatiyaJanataparty(BJP),IndianNationalCongress(INC),AllIndiaAnnaDravidaMunnetraKazhagam(ADMK),AllIndiaTrinamoolCongress(AITC),BijuJanataDal(BJD),ShivSena(SHS),TeluguDesamParty(TDP),TelanganaRashtra(TRS),CommunistPartyofIndia(Marxist)(CPI(M)),andYSR-CPCongressParty(YSR-CP).TweetswerecollectedfrommidnightMarch7th,whenthevotingscheduleforthe2014GeneralElectionswereannounced,untilmidnightMay12th2014,thelastdayofGeneralElections.17Party Followers TweetsBJP 857,102 80,981AAP 893,185 7,980AITC 6,676 3,990INC 233,467 2,890ADMK 3,670 601TDP 5,316 449CPI(M) 5,081 402YSR-CP 10,995 700Figure6:CharacteristicsofpoliticalpartyaccountsinIndia
ThedatasetinFigure6answersJaidkaandAhmed’sfirstresearchquestionofwhichpoliticalpartiesactivelyusedTwitterduringthe2014election.TheBJPandtheAAPhadthemostfollowersbuttheBJPoutnumberedtheAAPinthenumberoftweetsposted.TheBJP,AAPandYSR-CPprimarilyusedTwitterforre-tweetinginformationorinformationperpetuation.18Toanswertheirsecondresearchquestion,JaidkaandAhmedanalyzedeachparty’stweetsanddividedthemintofivecharacteristics:normal,replies,mentionofpartyleaderandretweets.Afterlookingatthetweetssentbyeachparty,BJP,AAPandYSR-CPusedTwitterasatoolforretweetinginformation.YSR-CPusedTwittertointeractwithvotersandto17KokilJaidkaandSaifuddinAhmed.The2014IndianGeneralElectiononTwitter:AnAnalysisonChangingPoliticalTraditions.(7thInternationalConferenceonInformationandCommunicationTechnologiesandDevelopment2015),2.18Ibid.
communicateandreplytotheirfollowers.Tofindoutwhomthepartieswereinteractingwith,theresearcherslookedattheusersmentionedintweetsandorganizedthemaccordingtotheiroccupation.AAPinteractedthemostwiththegeneralpublic,followedbyBJP.19Thepurposeofthefourthresearchquestionwastofocusonnormalpoststoidentifythecharacteristicsofparties’Twitterusage.AITChadthehighestnumberofcampaignupdatetweetsandAAPtookfirstplaceinself-promotiontweets20.InformationcommunicationtechnologyinIndiawasanimportanttoolincreatingstrategiesforeachpartyforthe2014election.Twitterwasusedtopostcampaignupdates,promotepartyachievementsandconnectwiththeonlinecommunityofyoung,first-timevoters.Promotion(%)
BJP AAP AITC INC YSR-CP Total
Normal 909611.23%
109813.75%
355389.04%
104736.22%
20429.14%
14998
Replies 65818.12%
162020.30%
1533.83%
1766.08%
14320.42%
8673
MentionofPartyLeaders
1391717.18%
4165.21%
1644.11%
86930.06%
578.14%
15423
Retweet 5138763.45%
484660.72%
1203.01%
79827.61%
29642.28%
57447
Total 80981 7980 3990 2890 700 96541Figure7:Tweetcharacteristicsfortopfiveactiveparties
MethodologyInthepreviouscasestudiesofinternationalelections,mostofthestudieslookedathowthecampaignsandpoliticiansusedsocialmediaandiftheirusagehasanimpactontheelectionresults.Toanswerthequestion“Doessocialmediausereflectpoliticalpreferencesinvoting?”IwillbeanalyzingwhatpeopleinGermany,theUnitedStates,andIndiatweetedaboutspecificcandidatesandpoliticalpartiesbysearchingfortweetswiththecandidatesname,politicalparty,oranyrelevanthashtagstotheelection.IhypothesizethatpeopleuseTwitterasaplacetoexpresstheirpoliticalopinionsandtheplatformactsasadatacollectorofthoseopinionstoinfluencevoterswhomaybeundecidedintheelection.Ialsohypothesizethattheonlinepoliticallandscapedoesinfactreflecttheofflinevotinghabitsofconstituents. Iwillbeperformingquantitativeanalysisonmyresearch.Myquantitativeresearchwillbelookingatananalysisofdataontweetsthatincludedthefollowinghashtagsandmentions:CDU,SPD,FDP,AngelaMerkel,Frank–WalterSteinmeier,GuidoWesterwelle,#Election2012,#TeamObama,#TeamRomney,BarackObama,Obama,MittRomney,Romney,BJP,INC,AIADMK,NarendaModi,SoniaGandhi,andJ.Jayalalithaa.Thehashtagsandmentionswillbemyindependentvariablewhilethe19Ibid.20Ibid.
outcomeoftheelectionswillbemydependentvariable.Iwillalsocomparethenumberoftweetsmentioningthepreviouslystatedcandidatesandpartieswithopinionpollsranintheweeksleadinguptotheelection.
AnalysisofData
The2009GermanFederalElectionThe2009GermanFederalelectiontookplaceonSeptember27th,2009toelectthemembersofthefederalparliamentofGermany.BetweenAugust13thandSeptember19th,2009therewere~104,003tweetsintotalwerepublishedonTwitter.21Astheelectiondrewcloser,trafficmentioningeachcandidateandpoliticalpartyincreased.AftercomparingtheamountofattentionthetopsixpoliticalpartiesreceivedonTwitterandthesentimentofthetweets,theResearchersattheUniversityofMunichfoundthatthevolumeoftweetsdoesinfactmirrortheresultsoftheelection.Party NumberofMentionsCDU 30,886CSU 5,748SPD 27,356FDP 17,737LINKE 12,689Grüne(GreenParty) 8,250Total 102,666Figure8AggregateCountsofPartyMentionsinthe2009GermanFederalElectionfromAugust13th-September19th,2009
Duringthesametimeframe(August13th-September19th,2009),variousGermaninstitutes,conductedtraditionalopinionpolls.Eachweektheaskedtheexactquestion,“IfthefederalelectionsweretohappennextSundaywhatpartywouldyouvotefor?”FromtheweekofAugust24thupuntilSeptember18th,2009theCDUandit’ssisterparty,theCSUledtheweeklypolling.Thehighestpercentageofthevotethattheyreceivedonaweeklybasiswasbetween34%-37%.22FollowingtheCDU/CSUwastheSPDpartywith22.5%-26%ofthepopularvote,FDPwith12.5%-15%ofthevote,theGreenPartywith10%-13.5%ofthevote,andtheLeftwith9-12%ofthepopularvote.23 Throughoutthemonthpriortotheelection,theCDUleditscompetitorsinthetraditionalopinionpollsaswellastheamountofsocialmentionsmentioning21AndranikTumasjan,TimmO.Sprenger,PhilippG.Sandner,IsabellM.Welpe,PredicitingElectionswithTwitter:What140CharactersRevealaboutPoliticalSentiment(TechnischeUniversitätMünchen2010),181.222009GermanFederalElectionPublicPollOpinionResultsfromAugust13th-September18th,200923Ibid.
eithertheirpartyortheircandidate.TheCDU/CSUandFDPhadanaveragevoteshareofaround50%inpre-electionpollingduringtheweeksbeforetheelection.24Upuntilthefederalelection,theamountofmentionsapartyreceivedduringthiselectionmirroredtheresultsoftheopinionpolls.Institute Date CDU/CSU SPD Greens FDP The
LeftOthers
ForschungsgruppeWahlen
18-Sept
36% 25% 10% 13% 11% 5%
Forsa 16-Sept
37% 24% 11% 12% 10% 6%
Allensbach 16-Sept
36% 22.5% 12% 12.5% 12% 6%
ForschungsgruppeWahlen
11-Sept
36% 23% 11% 14% 11% 5%
Infratestdimap 10-Sept
35% 23% 12% 14% 12% 4%
Allensbach 9-Sept
35% 22.5% 13% 13% 11.5% 5%
ForschungsgruppeWahlen
4-Sept
37% 23% 11% 15% 10% 4%
Emnid 3-Sept
34% 26% 11% 14% 11% 4%
INFOGmbH 2-Sept
35% 23% 12% 14% 11% 4%
Allensbach 1-Sept
35.5% 23% 13.5% 14% 9.5% 4.5%
GMS 24-Aug
37% 23% 13% 13% 9% 5%
Figure9:WeeklyPre-electionPollingduringtheWeeksBeforetheElection
TheChristianDemocraticUnion(CDU),theChristianSocialUnionofBavaria
(CSU),andtheFreeDemocraticParty(FDP)wonenoughofthevotestocreateacenter-rightgovernmentwithAngelaMerkelcontinuingherroleasChancellorandGuidoWesterwelleastheVice-Chancellor.Insteadofcominginat4thplace,theSDPwhichreceivedafairamountofmentionsonsocialmedia,receivedonly23%ofthetotalpartyvoteandsufferedthebiggestpercentagelossofanypartyinfederalelectionhistory.25OtherthantheelectionresultsoftheSDP,throughoutthemonthleadinguptothefederalelection,socialmediamentionsofpoliticalcandidatesand
24"OpinionPollTrackerBundestagswahl2009Germany'sFederalElection".AlexejBehnisch.17July2009.Retrieved21July2009.25ANewBuzzforGermany(TheEconomist2009),1.http://www.economist.com/node/14530467
partiesmimickedtheelectionresults,solidifyingmyhypothesisthatinthecaseofthe2009Germanfederalelections,socialmediachatterdoesinfacthaveanimpactonelectionresults.
Party Allmentions Election Number
oftweetsShareofTwittertraffic
Electionresult
Predictionerror
CDU 30,886 30.1% 29.0% 1.o%CSU 5,748 5.6% 6.9% 1.3%SPD 27,356 26.6% 24.5% 2.2%FDP 17,737 17.3% 15.5% 1.7%LINKE 12,689 12.4% 12.7% 0.3%Grüne 8,250 8.0% 11.4% 3.3%Figure10:Shareoftweetsandelectionresultsfromthe2009GermanFederalElection
The2012U.S.PresidentialElectionPresidentBarackObamasetthebaronhowtoutilizedigitalmediaplatformsinhiscommunicationsstrategyinhis2008U.S.presidentialelection.ItwasthefirsttimeacandidatehadmobilizedtheyouthvotebyreachingouttothemonsitessuchasFacebook,Twitter,andYouTube.Fouryearslater,boththeObamacampaignandtheRomneycampaignunderstoodthebenefitsofhavinganonlinepresenceandhowthatcouldtranslatecomeElectionDay.
The2012U.S.PresidentialElectionwasinpartwonbydigitalactivity.TheObamacampaignusedsocialmediatoskiptheformalitiesoftraditionalmediaandtooktotheInternettotalkdirectlytothevoters.APewResearchCenterstudymeasuredhowmanytweetsandpostsweremadeabouteachcandidateduringtheRepublicanNationalConventionandtheDemocraticNationalConvention.Thisstudyalsotookintoaccountwhetherthepostwaspositiveornegativeaboutthecandidate.Therewere11,179,537tweetsand442,524FacebookpostsaboutPresidentObama,whiletherewere740,992tweetsand249,567FacebookpostsaboutRomneybetweenAugust22nd-Sepetmeber23rd,2012.26
Unlikethe2009GermanFederalElection,mostoftheonlinenarrativeforbothPresidentObamaandFormerGovernorRomneywererelentlesslynegative.Butlookingateachplatformyouseethatoneaudiencetendstofavoronecandidateovertheother.OnTwitter,theconversationaboutthecampaignwasconsistentlyharsherforRomneyoverObama.27OnTwitter,17%ofthetweetsaboutRomney
26MaggieDaltonHoffman.TheEffectofSocialMediaonthe2012U.SPresidentialElection.(TrinityCollegeDigitalRepository2013),4.27PewResearchCenter:Journalism&MediaStaff.WinningtheMediaCampaign2012.(PewResearchCenter,2012),1.
werepositiveand59%werenegative.28TweetsaboutObamawere25%positiveand44%negative29.OnFacebook,thetoneofpoststhatmentionObama’snameimprovedaftertheseconddebate.Whiletraditionalmediawasnegativeitwasstilllessharshthanwhatwasbeingsaidbyvotersonsocialmedia.
Figure11:TwitterSentimentforTweetsaboutMittRomney
BycrawlingTwitterwiththeTwitterAPIresearcherswereabletogatheralargedatasetof196,000tweetsthatweresentwiththecandidatenames,candidateaddresses,electionrelatedhashtagsandcandidateshashtags.Emoticonsthatwereusedwerereplacedwithposemoforpositiveemoticonsandnegemofornegativeemoticons.Overaperiodof6weeksresearcherslookedatthesentimentanalysisoftweetssentthatmentionedcandidatesBarackObamaandMittRomney.IngeneralObamahadabetterpublicopinionthanRomney.Thepresidenthadonlypositiveratios,whilehismajoropponenthadnegativeones.
OnElectionDay2012,Twitteruserssentout31.7millionelection-basedtweetsand327,452tweetsperminute.BeforeObamawasannouncedvictoriousresearchersMarkGraham,AdhamTamer,NingWnagandScottHaleanalyzed30milliongeocodedtweetssentbetweenOctober1st–November1st,2012thatmentionObamaandRomneytodetermineifsocialmediachattercanpredictwhowillwintheelection.Therewereatotalof132,771tweetsmentioningObamaand
28MaggieDaltonHoffman.TheEffectofSocialMediaonthe2012U.SPresidentialElection.(TrinityCollegeDigitalRepository2013),4.29Ibid.
120,637mentioningRomney.Lookingattheinteractivemaptheycreated,theresearcherspredictedthatObamawouldwintheelectionbyasmallmargin. VariousnationwideopinionpollswereconductedfromOctober4th–November4th,2012askingthegeneralpublicwhotheywouldbevotingforinthegeneralelection.ThefirstweekinourdatasethadMittRomneyleadingBarackObamainfivedifferentopinionpolls.49%ofrespondentswouldvoteforRomneycomparedto47%whowantedtovoteforObama.ManyattributethiswintoRomney’sexceptionalperformanceinthesecondpresidentialdebate.Likemostofthiselectioneachoftheweek’sresultswereveryclose.Onecandidatewouldonlyleadtheotherbynomorethan7points.Outofthe57opinionpollsconductedduringthatmonthperiod,Obamawasfavoredin43ofthe57opinionpolls.EarlyoninthemonthMittRomneyseemedtobethefavoritebutObamastartedtoseemorefavorabilityaroundmid-October.
The2014IndianGeneralElectionWith813millionregisteredvoters,outofwhich100millionwerefirsttimevoters,Indiaisthelargestdemocracyintheworld30.Thiselectionspannedsix-weeksandsawmorethan56millionelection-relatedtweetsfromJanuary1sttoMay12th,2014.31Twitterbecametheplatformofchoiceforpeopletoengageandconsumepoliticalnews. FromSeptember25th,2013toMay16th,201418,214,947millionelection-basedtweetsweresentthatincludedkeywordsfrommanyimportanteventssurroundthegeneralelection.Keywordsincludedcandidatesnames,theirparty,cities,andtrendinghashtagssuchas#WeLoveRahul.AstheelectiongotcloserinMarchandApril2014thenumberoftweetsperweekgrewto36,000tweets.TwittercreatedaheatmapthatshowshowIndiancitizenstweetedabouttheelection.Eachcolorreferstothementionofoneofthetopcandidates:ArvindKejriwal(green),RahulGandhi(blue),andNarendraModi(orange).32Thetopfiveelectiontermswere:NarendraModiwith722,091tweets,AAPwith118,717tweets,BJPwith322,596tweets,RahulGandhiwith47,054tweetsandVaranasiwith21,018tweets.33 WhileNarendraModifromtheBJPledthewayinsocialmediamentionsandfollowersthroughoutthecampaign,intheopinionpollsleadinguptotheelectiontheNationalDemocraticAlliance(NDA)partywasthefrontrunnertowinamajorityofseatsintheLokSabha.Outofthe543seatsintheLokSabha,theNDA
30AbhishekBhola.TwitterandPolls:AnalyzingandEstimatingPoliticalOrientationofTwitterUsersinIndiaGeneral#Elections2014.(IndraprasthaInstituteofInformationTechnologyNewDehli,2014),431RaheelKhursheed.India’s2014#TwitterElection(Twitter.comblog,2014),1.32Here’stheWinnerof#IndianElectionsonTwitter.(Quartz,2014),1.33TwitterReleasesDataAroundIndianElections–58MillionTweets&11MillionMentionsforModi.(Socialsamosa.com,2014),1.
won336ofthoseseatswhiletheBJPwon282oftheseats.WehaveseenhowacandidatewhoismentionedmostonTwittertypicallyendsupwinningtheelection,whileModididbecomePrimeMinisterofIndia,hispartydidnotreceivethemajorityoftheseats.Whilesocialmediawasusedbycandidatesandvotersalikeinthiselection,onlyasmallportionofIndia’s1.2billionpopulationhaveaccesstotheinternet.Whenaskedaboutwhattheyshareontheirsocialmediasites,onlyathirdofIndianssaidtheysharetheirviewsaboutpoliticsonsocialmedia.34
Figure12:HeatMapShowingtheConversationoftheIndianGeneralElection
34JacobBoushter.InIndia,fewusesocialmediatosharepoliticalviews.(PewResearchCenter,2014),1.
Figure13:ChartofHowIndiansUseSocialMediaviathePewResearchCenter
ConclusionE-democracyisexpectedtoimpactgovernmentintwoways–byempoweringindividualstoengageinthepolicymakingprocess,andbyempoweringgroupsandnetworksofpeopletomobilizethem,affectpoliticalprocessesandpressurepoliticalrepresentativesintoadheringtotheirresponsibilities.35Bylookingatthreedifferentinternationalelectionsfromthebeginningofsocialmediatotoday,wecanseehowsocialmediahaschangedfrombeingaplatformwhereyoukeepupwithfriendstosourcesofnews,information,andcommunication.Notonlyhassocialmediachangedthepoliticallandscape,but,asamicrobloggingsiteitgivesmorecitizenstheopportunitytoexpresstheirpoliticalviews,engageindebate,andinteractwithcandidates. Forthemostpartwhatissaidonsocialmediacanpredicttheoutcomeofelections.Isaythiswithonecaveat,socialmediacanpredicttheresultofanelectionwhenamajorityofthepopulationhasaccesstotheInternetandusessocialmediasitesasnewssites.Byusingsocialmediatopredictwhowillwinelections,candidatesandpoliticalpartiescanmonitortheirmentionsandwhatpeoplearesayingaboutthemtocreateeffectiveplatforms.
35KokilJaidkaandSaifuddinAhmed.The2014IndianGeneralElectiononTwitter:AnAnalysisonChangingPoliticalTraditions.(7thInternationalConferenceonInformationandCommunicationTechnologiesandDevelopment2015),2.
WorksCited Chiang, Chun-Fang, and Brian Knight. "Media Bias and Influence: Evidence from Newspaper Endorsements." Oxford Journals. Oxford University Press, July 2011. Web. 05 Feb. 2016. Dalton-Hoffman, Magie. "The Effect of Social Media in the 2012 Presidential Election." Http://digitalrepository.trincoll.edu/. Trinity College, 1 July 2013. Web. 15 Apr. 2016. "Frequency Questionnaire." Democracy Corps (n.d.): n. pag.DemocracyCorps.com. Democracy Corps, 5 Nov. 2012. Web. 15 Apr. 2016. "Germany's Elections A New Buzz for Germany." Social Science Computer Review 5.4 (1987): 608. Www.theeconomist.com. The Economist, 28 Sept. 2009. Web. 15 Apr. 2015. Gewurz, Danielle. "Romney’s Strong Debate Performance Erases Obama’s Lead." Pew Research Center for the People and the Press RSS. Pew Research Center, 08 Oct. 2012. Web. 15 Apr. 2016. "Ipsos Poll Conducted for Reuters." Interview Dates: Sept 6-10, 2012 Base: 1,434 Registered Voters (RV) Base for Voting Intention: 1,182 Likely Voters (LV) (n.d.): n. pag. Reuters.com. Reuters, 10 Sept. 2012. Web. 15 Apr. 2016. "Narendra Modi Is NDAs Trump Card for 2014 Lok Sabha Polls, Reveals Headlines Today C-Voter Survey." Http://indiatoday.intoday.in/. India Today, 21 May 2013. Web. 15 Apr. 2016. "NDA May Win over 200 Seats as Modi's Popularity Soars Further: India Today Mood of the Nation Poll." Http://indiatoday.intoday.in/. India Today, 23 Jan. 2014. Web. 15 Apr. 2016. "NDTV's Opinion Poll: Latest All-India Forecast." NDTV.com. NDTV, 15 Apr. 2014. Web. 15 Apr. 2016. Pew Research Center: Journalism & Media Staff. "How the Presidential Candidates Use the Web and Social Media." Pew Research Centers Journalism Project RSS. Journalism.com, 14 Aug. 2012. Web. 15 Apr. 2016. "Social Media vs. Traditional Media | Chrysalis Communications." Chrysalis Communications. Chrysalis Communications, 16 July 2014. Web. 15 Apr. 2016. "Sonntagsfrage – Wahlumfragen Zur Bundestagswahl." Wahlrecht.de. N.p., n.d. Web. 02 Sept. 2009. 02 May 2016.
"Sonntagsfrage – Wahlumfragen Zur Bundestagswahl." Wahlrecht.de. N.p., n.d. Web. 18 Sept. 2009. 02 May 2016. "Sonntagsfrage – Wahlumfragen Zur Bundestagswahl." Wahlrecht.de. N.p., n.d. Web. 24 Aug. 2009. 02 May 2016. Tumasjan, Andranik, Timm O. Sprenger, Philipp G. Sandner, and Isabell M. Welpe. "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment." (2010): 178-85. Technische Universität München. Web. 15 Mar. 2016.