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Edinburgh Research Explorer
The social media balancing act
Citation for published version:Colliander, J, Marder, B, Falkman, LL, Madestam, J, Modig, E & Sagfossen, S 2017, 'The social mediabalancing act: Testing the use of a balanced self-presentation strategy for politicians using Twitter',Computers in Human Behavior, vol. 74, pp. 277- 285. https://doi.org/10.1016/j.chb.2017.04.042
Digital Object Identifier (DOI):10.1016/j.chb.2017.04.042
Link:Link to publication record in Edinburgh Research Explorer
Document Version:Peer reviewed version
Published In:Computers in Human Behavior
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Download date: 14. Sep. 2020
TheSocialMediaBalancingAct:TestingtheUseofaBalanced
Self-PresentationStrategyforPoliticiansUsingTwitter
Abstract
Politicians’clearseparationbetweentheirprofessionalandprivateliveshas
beenchallengedbyagrowingneedtobeseenaspersonable,especiallyonsocial
mediawherethisisthenorm.Little,however,isknownabouttheeffectona
politicalpartywhenitspoliticiansrevealaspectsoftheirprivatelivesonsocial
media.Thepresentstudyaddressesthisquestion.Throughthelensofself-
presentationtheory,wearethefirsttotesttheeffectofabalancedpresentation
strategyonTwitter(i.e.,tweetsthatinvolvebothprofessionalandprivate
aspectsoftheirlives)asopposedtoastrictlyprofessionalone.Alongitudinal
designwasadoptedwith265Twitterusersasparticipants.Theresultsshowed
thatabalancedstrategyincreasedbothinterestinthepolitician’spartyand
intentiontovoteforthatparty,irrespectiveofauser’spoliticalinterest,social
mediausageintensity,orage,orthegenderofeithertheuserorthe
communicatingpolitician.Furthermore,likingthetweetsemergedasacrucial
mediator.Thisstudycontributesvaluableknowledgeonself-presentation
strategiesofpoliticiansspecifically,andmorebroadlyregardingself-
presentationinthefaceofcontextcollapse.Howeverwecallforfutureresearch
tovalidateourexperimentalfindingsinareal-lifesetting.Implicationsare
providedforpoliticalpartiesandothers.
Introduction
Socialmediatechnologies,especiallyTwitter,haverevolutionizedmodern
politics,rapidlydrawingtheattentionofacademics(Baek,2015;Coffey,Kohler,
&Granger,2015;Wasike,2017;Yu,2016).Twitterisusedbypartisansacross
thepoliticalspectrumtoperformpostmortemsafterteleviseddebates(Heller,
2016),fromwhichanalystsgaugetheoverallsentimentoftheelectorate
(Tumasjan,Sprenger,Sandner,&Welpe.,2010).Politicianstweettogarner
supportfrompotentialvotersandtoengagewiththeirrivals(Graham,Jackson,
&Broersma,2016).However,whatpoliticianstweetcanbesubjecttoheavy
scrutiny.Forexample,Fortunemagazinereportedthatinthemonthspriorto
the2016presidentialelection,DonaldTrumphadfound“someonenewtoinsult
onTwitterevery42hours”(Shen,2016).Aspoliticalpartiesbegintoprepare
socialmediaguidancedocumentsfortheirpoliticians(Mason,2015),acrucial
questionemerges:howshouldtheirpoliticianspresentthemselvesthroughsuch
technologies?
Ontraditionalmedia,politicianspresentedstrictlytheirprofessionalpersona
withraredeviation.However,onsocialmedia,politiciansarestartingtopresent
aspectsoftheirpersonallives(Kruikemeier,2014).Politiciansarenowfaced
withaself-presentationaltug-of-warbetweentheirneedtomaintaina
professionalpersona,ononehand,andontheotherhandagrowingpressureto
displaytheirprivatepersonaasameanstoincreaseintimacywiththeir
electorate(Holtz-Bacha,2004;vanAelstetal.,2011;vanZoonen,2000).Social
mediaplaceheavypressureonpoliticianstorevealaspectsoftheirlives,asitisa
crucialemergingtechnologyforpoliticalmessages(Marder,Slade,Houghtonand
Archer-Brown,2016a)andanarenawherethenormofcommunicationis
personal,“lightweight”(Zhao&Rosson,2009,p.243)and“phatic”(Miller,2008,
p.387).Furthermore,Twitterlikeotherformsofsocialmediaischaracterizedby
contextcollapse,meaningthatmultiplecontexts(e.g.,workandhome)are
intermeshedintooneself-presentationarena,thus“bringingtogethercommonly
distinctaudiences”(Marwick&Boyd,2011,p.115).Thusfar,however,onlytwo
studieshaveexaminedtheefficacyofpoliticians’professionalversusprivate
communicationsonsocialmedia.LeeandOh,(2012)foundthatforpoliticians
revealingaspectsofone’sprivatelifeonsocialmediahadambiguouseffectson
theviewer’sintentiontovoteduetoconfoundingvariables.Kruikemeier,(2014),
reportthefindingthat“surprisingly”privatelifedisclosureshavenoimpacton
intentiontovote(p.135).Althoughthesestudiesprovidedusefulinitialinsights
theirresultsareinconclusive.Theauthorsofbothpaperscallforfurther
researchtoexaminetheimpactofpoliticians’professionalversusprivate
disclosuresonsocialmedia.Ouraimistoaddressthisgap.
Tocontributetounderstandinginthisarea,weadoptself-presentationasour
theoreticallens,consistentwithotherresearchinthefield(Bareket-Bojmel,
Moran,&Shahar,2016;Baumgartneretal.,2015;Marder,Joinson,Shankarand
Thirlaway2016b).Inparticular,wedrawfromGoffman’s(1978)distinction
betweenfront-stage(professional)andback-stage(private)presentation.
Furthermore,webuilduponMarwickandBoyd’s(2011)seminalqualitative
explorationofTwittermicro-celebrities(i.e.,peoplewith100,000ormore
followers).Inthisstudy,MarwickandBoydfoundevidenceofself-presentational
“balancing”inthepresenceofcontextcollapse(p.124).Suchbalancingoccurs
whenuserswithalargeanddiversebaseoffollowersstrategicallyinclude
aspectsofboththeirprofessionalandprivatepersonasintheirtweets.Although
thisstrategyhasbeenwellacknowledgedandwidelycited(seePapacharissi,
2012;Vitaketal.,2015),itseffectshavenotbeenempiricallytested.Wethus
aimtocontributetoknowledgeonhowpoliticiansshouldpresentthemselves
throughsocialmediaand,morebroadly,toself-presentationinthepresenceof
contextcollapse.Toachievethispurpose,weemployalongitudinalexperiment
totesttheeffectofbalancingfront-stageandback-stagepresentation,as
comparedtostrictlyprofessionalcommunicationcontent,ontwodesired
outcomesforthepolitician’sparty(interestinthepoliticalpartyandintentionto
votefortheparty).
Background
Self-Presentation
ErvingGoffmanfirstintroducedthetheoryofself-presentationinhisseminal
bookThePresentationoftheSelfinEverydayLife(1978).Fromtheperspectiveof
symbolicinteractionism,Goffmandiscussedhowpeoplepresentthemselvesto
othersthroughadramaturgicalmetaphor.Peopleareactorsonastage,drivento
instilladesiredimpressionintheaudiencemembers’minds.Onstage,actors
utilizebothverbalandnonverbalcues,adaptingwhattheysay,theirtoneof
voice,whomtheystandwith,andwhattheyweartoachievethepreferred
impression(Goffman,1978).Self-presentationisnowwidelystudiedinsocial
psychology.Leary(1996)distinguishedthreeunderlyingmotivationsfor
managingourself-presentation,whichneednotbemutuallyexclusive:economic
orsocialgains,self-esteem,andidentitymaintenance.
Goffmandistinguishedbetweenfront-stageandback-stagebehavior.Front-
stagebehaviorcanbeconsideredamorepublicperformanceinwhichtheactor’s
publicimageisondisplay,tightlyconstrainedbynormsandconventions.
However,thesefront-stage“publicrule-dictatedimagesareoftencontradicted”
whenanactorretreatsback-stage(Leary,1996,p.87),outoftheaudience’s
view,perhapsaloneorsurroundedonlybyfellowactors.Whileback-stage,
actorsdonothavetoworryabouttheconstraintsofpublicexpectation,sothey
mayusesubstandardlanguage,swear,ormakesexualremarks(Goffman,1978;
Turner&Edgley,1990).Cahilletal.(1985)foundthatteamsofvarioussorts
utilizetheback-stageregiontostrategizeabouttheircollectivefront-stage
performance.Politiciansstrategizeprivatelyinsecludedroomsbeforetakingthe
standatapressconference(Fennema,1997;Wodak,2014).Goffman(1978,
chap.3)describedthisas“regionsbehavior,”inwhichpeoplebehavedifferently
dependingonwhatregion(orstagearea)theyarein.
Traditionalpoliticianshavedefendedthedemarcationbetweenfront-stageand
back-stageperformance,whetherthelattercategoryreferstointra-party
discussionsortheirownprivatelives(Kuhn,2004).However,inrecentyears,
studieshavefoundagreaterneedforcandidatestoengageinpersonalization
duringcampaigns,suchasbyrevealingaspectsoftheirprivatelives(Druckman,
2003;Kleinnijenhuis,Maurer,Kepplinger,&Oegema,2001;Kruikemeieretal.,
2013).Aspoliticianspresentthemselvesthroughsocialmedia,thisformof
communicationchallengestheseparationbetweenthebackandfrontstages,as
suchtechnologiesareknowntocollapsecontexts.
Self-PresentationinthePresenceofContextCollapseOnTwitter,aswithotherformsofsocialmedia,peopleself-presenttoa
“networkedaudience”that“consistsofrealandpotentialviewersfordigital
contentthatexistwithinalargersocialgraph”(Marwick&Boyd,2011,p.129).
Suchnetworkedaudienceswillcontainsubsetsofdifferentaudiences.For
politicians,theseincludegeneralsupporters,supportersoftheopposition,
colleagues,friends,andfamily.Suchaudiencesubsetshavebeenfoundto
problematizeanindividual’sonlineself-presentation,astheseaudienceshold
differentandsometimesconflictingexpectationsregardingwhattheydeema
desirableimageprojection(Marderetal,2012).Thissituationisreferredtoas
contextcollapse(Marwick&Boyd,2011),conflictingsocialspheres(Binderet
al.,2009)ortheonlinemultipleaudienceproblem(Marderetal.,2012).
MarwickandBoyd(2011)carriedoutaqualitativeinquiryintothestrategies
adoptedbymicro-celebrities(i.e.,peoplewith100,000ormorefollowers)who
werefacedwiththeissueofcontextcollapsewhenusingTwitter.Micro-
celebritiescommunicateonsocialmediatopromotethemselvesandheighten
theirpopularity(Senft,2008,p.25).Politiciansaresimilartomicro-celebrities
inthattheyalsowishtoincreasetheirownpopularityandthatoftheirparties.
MarwickandBoyd(2011,p.126)describedtwocorestrategiesformicro-
celebrities:self-censorshipandbalancing.Self-censorshipmeansthatthe
individualcensorsthecontentconsideredfortweetingsothatitissuitableforall
imaginedaudiences;thatis,theirself-presentationtakesona“lowestcommon
denominator”aspect,conformingtoeventhestricteststandardsmakingit
suitableforeventhemoststrictstandards(p.126).Marderetal.(2016)found,
however,thataudiencestandardsarenottheonlyfactormotivatingself-
censorship;itisalsoafunctionoftheaudience’svalueanditsabilitytoprovide
economicorsocialgainsandlossesforthecommunicator.
InMarwickandBoyd’s(2011)secondstrategy,individualsbalancetheir
presentationoffront-stageandback-stageaspectsintheirtweets,duetotheir
recognitionofthedifferingpreferencesoftheiraudiencemembers.Marwickand
Boydindicatedthatthisbalancingcouldoccurwithinasingletweetorby
alternatingbetweentweets.Thequestionoftheeffectivenessofthisbalancing
strategyhasbeenlargelyneglectedintheresearchliterature.Existingstudies
havegenerallyaddressedsocialmediapostsbyusersaseitherbeingprivateor
professionalratherthanhybrid(vanZoonen,Verhoeven,&Vliegenthart,2016).
However,KimandSong(2016),whoconductedacross-sectionalsurveyof
undergraduateswhofollowedcelebritiesonTwitter,foundthatthosecelebrities
whosharedaspectsoftheirpersonallifehadimprovedsocialpresenceandthus
betterperceivedconnectivitywithfans.Thepresentresearchwillfurther
examinethebalancingstrategyinthecontextofpoliticiansusingTwitter.
Self-PresentationofPoliticiansonTwitter
Twitterisnowacrucialtechnologyforpoliticalpartiesandtheirpoliticiansto
communicatewithelectorates(Park,2013;Yu,2016).Engagingpeopleon
Twitterhasbeenassociatedwithincreasedsupportforcandidates(Kruikemeier,
2014;Lee&Shin,2012;Parmelee&Bichard,2011).However,littleisknown
abouttheimpactofwhatisactuallytweeted,particularlywithregardtothe
presentationofaspectsofpoliticians’professionalorprivatelives.LeeandOh
(2012),inastudyusingaJapanesesample,foundthatrevealingaspectsofa
politician'sprivatelifeincreasedmessagerecognitionandrecallbuthadan
ambiguouseffectonintentiontovote,asthelatterfactorwascomplicatedby
confoundingfactorssuchastheindividual’sdegreeofsocialactiveness.
Kruikemeier(2014)usedalargecontentanalysisoftweetstopredictvoting
figures,findingthatrevealingpersonalfeaturessuchasone’semotionsor
privatelifehad“surprisingly”noimpactonthenumberofvotes(p.135).Asan
explanationofthisresult,shepositedthatsincetweetscomefrompeople’s
personalaccounts,alltweetsmayhavebeenconsideredsomewhatpersonal.
Giventheinconclusivenessoftheresults,theauthorsofbothpriorstudiescalled
forfutureexperimentalworktoascertainwhethertheimpactofpoliticians’
presentationoftheirpersonallifeaffectsvotingintentions(Kruikemeier,p.137;
seealsoLee&Oh,2012).
Respondingtothesecalls,thispaperaimstotesttheimpactofpoliticians’useof
awithin-tweetbalancingstrategy(i.e.,mixingprofessionalandprivate
presentationwithineachtweet)versusfront-stage-only(strictlyprofessional)
presentation.Indoingso,weseektocontributevaluableknowledgeontheself-
presentationofpoliticiansonTwitter.Moreover,wecontributemorebroadlyto
knowledgeregardingself-presentationinthefaceofcontextcollapseby
providingthefirstempiricaltestofthebalancingstrategy.Unlikepreviouswork
inthisarea,weadoptalongitudinalapproach,fortworeasons:firstbecauseself-
disclosuresaremutuallyreinforcingovertime(Trepte&Reinecke,2013),and
secondbecauserelationshipswithbrandsarenotbuiltinaday(Veloutsou&
Moutinho,2009).Furthermore,ourfocusisonoutcomesatthepartylevelrather
thanfortheindividualpolitician.Wechosethislevelofanalysisfirst,because
votingforpartieswithinaparty-listproportionalrepresentationisthe“most
commontypeofelectoralsystememployedindemocracies”(Bormann&Golder,
2013,p.365).Second,thisprovidesanalternativeperspectivetotheprevious
researchinthisarea,whichfocusedoncandidate-leveleffects(Lee&Oh,2012;
Kruikemeieretal.,2013).Third,weenvisageparty-focusedevidencetobeof
greaterneedininformingpartylevelsocialmediapolicydocumentsforusewith
memberpoliticians.Partiesacknowledgetheimportanceofthisissuethat
guidanceisneededforpoliticiansengagingtheelectorate(Mason,2015).
Wetesttheeffectofabalancingstrategyupontwoconstructs:interestinthe
politicalpartyandintentiontovoteforthepoliticalparty.Therationalefor
measuringintentiontovoteforthepoliticalpartyisstraightforward,asgetting
votesistheendgoalofpoliticalcampaigning.Thisvariablewasexaminedby
previousresearchinthefield(Papagiannidis,Coursaris,&Bourlakis,2012;Park
&Yang,2012),anditsselectionisfairlyobvious.Incontrast,thedecisionto
measureinterestinthepoliticalpartymarksadeviationfromtradition,as
attitudeisamoretypicaldependentvariablefortheoutcomeofcommunication.
However,Machleit,Allen,andMadden(1993)establishedbrandinterestasa
distinctandhighlyrelevantdependentvariablewheninvestigatingmature
brands.Theyconcludedthatformaturebrands(whichwouldincludemost
politicalpartiesastheyaretypicallyquiteold),one’sattitudeisrather
established.Consequently,theauthorsarguethatbrandinterest,arelatedbut
separateconstructmeasuringthe“baselevelofapproachability,inquisitiveness,
openness,orcuriosityanindividualhasaboutabrand”(p.73),hasgreater
efficacyinmeasuringtheoutcomesofcommunicationsforsuchbrands
comparedtoexaminingattitude.Therefore,interestinthepartywaschosen
ratherthanattitudetowardtheparty.Furthermore,whetherthefollowersliked
thecommunicationisconsideredasamediatorinthepossiblerelationships
aboveandisthesubjectofourfirsthypothesis.
HypothesisDevelopment
Weproposethattheuseofawithin-tweetbalancingstrategy(amixof
professionalandprivatepresentation)asopposedtoapurelyfront-stage,
strictlyprofessionalpresentationwillleadfollowersonTwittertolikethe
communicationmore.Anecdotalevidencesupportsthisnotion.PublicRelations
TacticsmagazinehasrecommendedusingamorepersonaltoneonTwittertoget
individualstolikeone’scommunication.Inaddition,previousworkhas
demonstratedthatvotersexpecttoknowsomedetailsofapolitician’spersonal
life(Langer,2010)andhavedifficultiestrustingpoliticianswhodonotshare
suchdetails(Brooks,2016).Afront-stage-onlystyleofcommunicationwould
thuscreateanexpectationgapbetweenwhatfollowersexpecttoseeandwhat
theydosee.Suchagaphasbeendemonstratedtoreducelikingandsatisfaction
inaservicesetting(Sheth&Mittal,1996),andweexpectthatthesamelogicwill
applyinacommunicationsetting.Wethereforehypothesizeasfollows:
H1.Votersexposedtoawithin-tweetbalancingstrategyfromapolitician
onTwitterwilllikethecommunicationmorethanvotersexposedtoafront-
stage-onlystrategy.
Ifawithin-tweetbalancingstrategyindeedcreatesgreaterlikingofthe
communication,thisshouldalsoleadtoanincreasedinterestinthepolitical
partyandanincreasedintentiontovoteforthepoliticalparty.Likingisbelieved
tobeaninfluentialhumanemotionthatmotivatesthedevelopmentof
relationshipswithotherpersonsorbrands(e.g.,Altman&Taylor,1973;Ye&
VanRaaij,2004).Assuch,theconstructoflikinghaspreviouslybeenfoundto
mediatethesuccessofmarketingcommunicationsanddesiredoutcomessuchas
boxofficesales(Boksem&Smidts,2015)andincreasedstakeholdertrust
(Nicholson,Compeau,&Sethi,2001).Wepredictthatasimilareffectwillemerge
inpoliticalcommunication.Hence,anincreasedinterestinthepoliticalpartyor
inintentiontovoteshouldresultfromfollowingaTwitterfeedifthefollower
appreciatesthecontent.Wehypothesizeaccordingly:
H2.Votersexposedtoawithin-tweetbalancingstrategyfromapolitician
onTwitterwillbemoreinterestedinthepoliticalpartythanvotersexposed
toafront-stage-onlystrategy.
H3.Votersexposedtoawithin-tweetbalancingstrategyfromapolitician
onTwitterwillhaveagreaterintentiontovoteforthepoliticalpartythan
votersexposedtoafront-stage-onlystrategy.
Wealsopropose,basedonpriorresearch,thathowmuchafollowerlikesthe
communicationwillmediatetheefficacyoftheTwitterpresentationalstrategy
andtheoutcomevariablesinH2andH3(seeBoksem&Smidts,2015;Nicholson
etal.,2001).Henceweaddthispairofhypotheses:
H4a.Whetheronelikesthecommunicationresultingfromawithin-tweet
balancingstrategywillmediatethepositiveeffectfoundoninterestinthe
politicalparty.
H4b.Whetheronelikesthecommunicationresultingfromawithin-tweet
balancingstrategywillmediatethepositiveeffectfoundontheintentionto
voteforthepoliticalparty.
Method
Participants
Totestourhypotheses,weconductedanexperimentalstudyoverfivedayswith
288subjects,whowererecruitedthroughanonlinewebpanelofaprofessional
marketresearchcompanybasedinSweden.Thesamplewas57%male,witha
meanageof40years(SD=15.5).Therespondentswereanationally
representativesampleofeligiblevotersinSweden.Therewardforour
respondents’participationwaspointsvaluedequivalentto6USDthatcouldbe
receivedaseithermoneyorredeemedforproducts.
StimulusDevelopment
FictitiousTwitteraccountsofparliamentarypoliticiansinSwedenwerecreated.
ThissetupgaveustotalcontroloftheTwittercommunicationandensuredthat
thecausalconclusionsregardingtheeffectofabalancedversusafront-stage-
onlypresentationstrategywouldbewarranted.Tocreatesuitablestimulus
tweets,theresearchteamstudiedthefeedsof30well-knownEuropean
politicians.Theinvestigatortriangulationmethod(Denzin,1973)wasadopted.
Teammembersindividuallycodedtweetsfordifferentpoliticiansintothe
differentself-presentationstrategies.Wherethespecificstrategywasuncertain
thiswasdiscussedwithatleastoneothermemberoftheteamandaconsensus
reached.Itwasagreedthatmostofthetweetsexaminedwerelargely
professionalinnature(approx.75%),withsomemaintainingabalancing
strategy(approx.20%).However,veryfewwerestrictlyrelatedtothe
politician’sprivatelife(approx.lessthan5%).
Usingthisbackgroundresearchasaguide,wecreateddifferentlistsoftweetsfor
twoexperimentalgroups.Group1(front-stage-only)wasexposedtotweets
containingnodetailsofthepolitician’sprivatelife,suchas“Today,wewill
discussthebudgetfortheDepartmentofDefense.”Group2(balanced)was
exposedtothesametweets,butwiththeadditionofadetailfromthepolitician's
privatelifeineachtweet,e.g.,“Afterhavingaheartybreakfasttoday,wewill
discussthebudgetfortheDepartmentofDefense.”Thesepersonaldetails
variedineachtweet(pleaseseeappendix1formoreexamples.)Duetothis
manipulation,thetweetsprovidedtogroup2inherentlyusedmorecharacters
thanthoseforgroup1;however,thisdifferenceisnotbelievedtoconfound
interpretationofthetweets,aspriorworkhasfoundnorelationshipbetween
tweetlengthandinterpersonalinfluence(Lahuerta-Otero&Cordero-Gutiérrez,
2016).
Aswewantedtocontrolforgendereffectsofthepoliticianasacovariate,groups
1and2werefurthersubdividedintotwosegmentseach,featuringpoliticiansof
differentgenders.Thus,halfthemembersineachexperimentalgroupfolloweda
malepoliticianandtheotherhalfafemalepoliticianalthoughallmembersof
group1(2)receivedidenticalfront-stage-only(balanced)tweets.Theaccounts
providedtobothgroups1and2containedidenticalshortdescriptionsofthe
respectivepoliticiansaswellasidenticalphotos(onlyamendedtomatchthe
genderofthepoliticians).Thedescriptionsstatedthenamesofthepoliticians
andthattheyweremembersofparliamentinthecountrywheretheparticipants
resided.Toavoidtheriskofconfoundingfactorsassociatedwiththepolitician’s
politicalparty,nopartyaffiliationswereindicated,eventhoughwerecognized
thatthisremovalcouldslightlydecreasetheecologicalvalidityofthestudy.The
listoftweetsalsoreflectedthisdecision,asgeneraldetailsaboutparliamentary
lifeandissuesthatconcernpartiesacrosstheideologicalspectrumwereused,
ratherthananystatementsthatmightcauseparticipantstoassociatethe
fictitiouspoliticianwithanactualpoliticalparty.
ManipulationCheck
Aftercompletingthelistsoftweets,weadministeredapretestto31respondents
whoratedhowpersonaltheyfoundthetweetsfrombothgroupsona10-point
scale(fromnotatallpersonaltoverypersonal).Apairedsamplettestshowed
thatthemeanof7.13forthetweetsrevealingdetailsofthepolitician’spersonal
lifewassignificantlygreaterthanthemeanof3.75fortheprofessionaltweets(t
=4.10,p<.001).Withinthispretest,participantswerealsoaskedtoindicatethe
likelihoodthatthelistoftweetscamefromaparliamentarianinthecountryof
study,asacheckforecologicalvalidity.Responsesweregivenona10-point
Likertscale(notatalllikelytoverylikely).Aone-samplet-testrevealedthatthe
meanof7.19wassignificantlyhigherthantheaveragepossiblescoreof5.5(t=
5.24,p<.001),thusprovingthatthetweetsinourstudyweredeemedlikelyto
beusedbyrealpoliticians.Apairedsamplettestofthisvariablefurthermore
revealedthatthislikelihoodwasnotsignificantlydifferentbetweenthetwo
experimentalgroups(t=-.137,p=.892).
Procedure
Recruitmenttookplacesevendayspriortothestartofthestudy.Totakepartin
thestudy,theparticipantshadtopossessoracquireaTwitteraccount.
Participantsagreedtofollowapolitician’sTwitteraccountforfiveconsecutive
days(MondaytoFriday)andthenanswerasurveydistributedontheafternoon
ofdayfive.Theythenreceivedanemailwithalinkrandomlyassigningthemto
oneofthestudy’sfourexperimentalTwitteraccountsthattheyweretofollow.
Participantsreceivedtweetspostedfromthatexperimentalaccountthreetimes
dailyforfivedays(which,afterinvestigatingvariouspoliticaltwittersinorderto
developthestimuli,wedeterminedwasconsistentwithwhatiscommonlyan
activetweetingrate).Toconfirmthattheparticipantswereactuallyexposedto
thetweetsduringtheexperiment,theywereinstructedtowriteonetweetper
daythemselvesorto“like”oneofthepolitician’stweets.Wecheckeddailyto
verifythatthisprescribedactivityhadoccurred.Duringthefivedays,23ofthe
288participantswereremovedfromthedatasetbecausetheyfailedtofollow
theinstructions,leaving265participantsinthestudy.Therewerenosignificant
differencesinage(F=.883,p=.53)orgender(χ2=5,93,p=.58)betweenour
experimentalgroups.
Measures
Allitemsweremeasuredon10-pointLikertscales(1=completelydisagree;10=
completelyagree).Interestinthepoliticalpartywasmeasuredusingtwoitems:
“Ithinkthat[X’s]partyseemsinteresting”and“Iwouldliketolearnmoreabout
[X’s]party.”Ameanofthetwoanswerswascalculatedtoformanindex(r=.77).
Intentiontovoteforthepoliticalpartywasmeasuredwithasingleitem:“Icould
considervotingfor[X’s]party.”Likingthecommunicationwaslikewise
measuredwithasingleitem:“Iliketheway[X]communicatesonTwitter.”In
additiontothehypothesizedvariables,wemeasuredtwopossiblecovariates:
frequencyofsocialmediausage(measuredbythesingleitem“Iusesocialmedia
frequently”)andpoliticalinterest(measuredbythesingleitem(“Iampolitically
interested”).
Wefullyappreciatethatitcouldbeconsideredcontroversialtousesingleitem-
measures,butweneverthelessdecidedtodoso.Supportingthisdecisionwere
thefindingsofBergkvistandRossiter(2007),whodemonstratedthatthe
predictivevalidityofsingle-itemmeasuresisoftennodifferentfromthatof
multi-itemmeasures.Tofurtherensurevalidity,wepretestedtheseitemsfor
ambiguitytodetermineiftheywereunderstoodequivocally,suchthat“there
[was]noneedformultipleitemmeasures”(Alexandrov,2010,p.1).Thispretest
wasconductedintwostages.Inthefirststageweletfellowresearcherswho
werenotpartofthestudydeterminewhetherthemeasuresneededrevisingin
anyway.Uponlearningthattheydidnotweneverthelessconductedasmall
focusgroupwithuninitiatedindividualsinordertoseeifthemeasureswere
understoodasintended.Again,theresultsatthesecondstageindicatedthatthey
were.Thus,wefeelconfidentinthereliabilityofourresults.
Results
InordertotestH1,2and3,weemployedANCOVAanalysisinordertotestthe
meansofourtestvariablesaswellastheeffectsizeofourindependentvariable
whileatthesametimecontrollingfortheeffectsofourcovarates.
TotestH1,whichpredictedthatawithin-tweetbalancingstrategybyapolitician
onTwitterwouldleadtogreaterlikingofthecommunication,wecomparedthe
meanscoresonlikingthecommunicationbetweenthetwoexperimentalgroups.
Thedifferencebetweenthegroupexposedtoawithin-tweetbalancingstrategy
(M=4.84,SD=2.53,N=131)andthegroupexposedtoafront-stage-only
strategy(M=4.04,SD=2.62,N=134)wasstatisticallysignificant(p<.01;see
Table1).ThepartialEtaSquaredwas.027.Noneofthecovariatesproved
significantintheanalysis.Hence,H1wassupported.
TotestH2,predictingthatawithin-tweetbalancingstrategybyapoliticianon
Twitterwouldleadtoahigherlevelofinterestinthepoliticalparty,weagain
comparedthemeansbetweenexperimentalgroups.Thedifferencebetweenthe
groupexposedtoawithin-tweetbalancingstrategy(M=5.46,SD=2.11,N=
131)andthegroupexposedtoafront-stage-onlystrategy(M=4.87,SD=2.30,N
=134)wasstatisticallysignificant(p<.05;seeTable1).ThepartialEtaSquared
was.017.Noneofthecovariatesprovedsignificantintheanalysis.Thus,H2was
supported.
WithregardtoH3,whichstatedthatawithin-tweetbalancingstrategybya
politicianonTwitterwouldleadtoagreaterintentiontovoteforthepolitical
party,thedifferenceinmeansbetweenthegroupexposedtoawithin-tweet
balancingstrategy(M=4.82,SD=2.33,N=131)andthegroupexposedtoa
front-stage-onlystrategy(M=4.12,SD=2.16,N=134)wasstatistically
significant(p<.05;seeTable1).ThepartialEtaSquaredwas.025.Noneofthe
covariatesprovedsignificantintheanalysis.Hence,H3wassupported.
Table1abouthere
H4aandH4bpredicted,respectively,thatwhetheronelikedthecommunication
receivedfromapolitician’swithin-tweetbalancingstrategyonTwitterwould
mediatethepositiveeffectsoninterestinthepoliticalpartyandintentiontovote
forthepoliticalparty.Totestthesehypotheses,weusedPreacherandHayes’s
(2008)modelofbootstrappedmediation.Thismodeliswellsupportedwithin
thefield(cf.Kim&Park,2011).Theindependentvariablewasadummyvariable
representingtheexperimentalgroup(0=front-stage-onlygroup,1=balancing
strategygroup).ThePreacherandHayes(2008)modelassessestheeffectofan
indirectpath(denotedab)throughabootstrappedconfidenceinterval.Thepath
isdeemedsignificantbytheupperandlowerconfidenceintervalsnotincluding
zero.Formediationtoexist,theonlynecessaryconditionisasignificantpathab
(seealsoZhao,LynchJr.,&Chen,2010).
Twomediationsweretested,oneforeachdependentvariable(seeFigures1and
2).Bootstrapresamplingwassetat5,000.Thefivecovariatesofconcernwere
includedineachmodel,namely,genderofthepoliticianandrespondents’degree
ofsocialmediause,politicalinterest,age,andgender.Resultsareshownin
Figures1and2.Forbothinterestinthepoliticalpartyandintentiontovotefor
thepoliticalparty,indirect-onlymediationswereestablished,meaningthatthe
relationshipsbetweenourindependentanddependentvariableswerefully
mediatedbyliking.Thus,whenexposedtoawithin-tweetbalancingstrategy,
votersfeltmoreinterestinthepoliticalpartyandhadagreaterintentiontovote
forthepolitician’sparty,arelationshipthatwasmediatedbywhethertheyliked
thecommunication.Thus,H4aandH4bweresupported.Noneofthecovariates
weresignificantatanystageofanyofthetwomodels(p>.05).
Figures1and2abouthere
Discussion
Fromthestandpointofthepoliticalparty,ourfindingssupportencouragingthe
party’spoliticianstouseabalancingstrategytoengagefollowersthrough
Twitter.Thisresultsupportspriorstudiesthathavefoundelectoratesto
respondbettertomorepersonalizedcommunicationbypoliticians(Druckman,
2003;Kruikemeieretal.,2013).Specifically,wefindthattweetscombining
professionalandprivatereferencesincreaseinterestinthepolitician’spartyand
intentiontovotefortheparty,whencomparedtotweetscontainingprofessional
contentonly.Theserelationshipswerefullymediatedbywhetherthe
respondentlikedthecommunication.Thissupportsthenecessityofcausing
recipientstolikemarketingcommunicationsinordertoattainpositive
outcomes,asfoundbypriorstudies(Boksem&Smidts,2015;Chintagunta2010;
Nicholsonetal.,2001).Inotherwords,ourresultsshowthatabalancedstrategy
ispreferredbyTwitterusersoverafront-stage-onlyone.
OurresultsshedfurtherlightonKruikemeier’s(2014)findingthattheamountof
tweetsthatincludedpersonalaspects(i.e.,referencetoemotionsorprivatelife)
had,byherownadmission,“surprisingly”nosignificantassociationwiththe
numberofvotesreceived(p.135).Weproposethatthismaybebecause
Kruikemeier(2014)treatedoccurrencesofback-stageexpressionsseparately
fromfront-stagecommunications.Ourstudyhighlightsthenecessityforboth
politicianswhotweetandresearcherstoconsiderthedistinctimpactofhybrid,
balancedtweets.WealsoextendLeeandOh’s(2012)findingthatirrespectiveof
thelevelofpoliticalinterest,thedegreeofsocialmediausage,orthegenderof
thepoliticiansorfollowers,abalancedstrategyinwhichpoliticiansreveal
aspectsoftheirprivatelivesissuperiortoappearingstrictlyprofessional.
ImplicationsandConclusion
Ourresearchmakestwocorecontributionswithseveralimplications.First,we
contributetounderstandingoftheself-presentationofpoliticiansthrough
Twitter.Specifically,weshowwithintheconstraintsofourexperimentthat
politicalpartiesmayattractgreaterinterestandvotingintentionfromtheir
electorateiftheirpoliticiansprovideabalancedself-presentationalstrategy,
opposedtoafront-stage-onlyapproach.Currently,politicalpartiesspenda
sizableportionoftheirmarketingbudgetonsocialmedia,particularlyin
acquiringfollowersand,inthecaseofFacebook,page“likes”(Hawthorne,2015;
Marderetal.,2016).However,weproposethattheirresourcescouldbebetter
allocatedintheshorttermtomaximizingcurrentengagementwiththeirexisting
followers,withsubsequenteffectsonfuturefollowers.
Toincreaseinterestinthepartyandintentiontovote,politicalpartycampaign
managersshouldfocusonprovidingguidanceaboutthebalancingstrategy.
Guidelinesandseminarscouldbeprovidedtomemberpoliticians,explaining
howtoundertakeabalancingstrategy.Giventhepresentfindings,thisguidance
shouldincluderecognitionofthevalueofrevealingaspectsofone’sprivatelife
withinprofessionallyorientedtweets.Furthermore,weofferasuggestionfor
sitedesignerstohelpthemincreasetheabilityofpublicfigurestoengagetheir
followerssuccessfullywithappealingcontent,thusbenefitingthesocialmedia
platformoverall.Specifically,theyshouldreconsiderthe“prompt”phraseused
inthetweet/postboxforuserswhoare“verified”(i.e.,micro-celebritieswith
largefollowings),toencouragetweetsofabalancednature.
Inaddition,wehighlightthevitalroleofwhetheronelikesacommunicationin
mediatingtheeffectofself-presentationcontentontheattainmentofpositive
outcomes.Specifically,ourresultsshowthatfollowersliketweetsmoreifthe
messagerevealsaspectsofapolitician’sprivatelife.Researchersexaminingthe
impactofuser-generatedcontentshouldconsiderthisconstructofwhetherone
likesthecommunicationasamediatingfactor.Furthermore,inproviding
guidanceontheuseofsocialmedia,politicalmanagersneedtopromotetheneed
forlikablecontent.Theymaywishtoconductinternalauditsoftheirpoliticians’
currenttweetsorconductresearchontheelectorate’sperceptionstobetter
understandwhatcontentismostlikableinrelationtopoliticians’privateor
professionallives.Furthermore,insightcanbeobtainedfromexistingresearch
onhowtogetthemostfrombrandsocialmediacommunicationsinorderto
increaseliking(Malhotra,Malhotra,&See,2012,2013).
Second,wecontributemorebroadlytoenhancingpriorknowledgeregarding
self-presentationthroughsocialmediainthefaceofcontextcollapseby
providingthefirstempiricaltestofabalancingstrategy(Marderetal.,2012;
Marwick&Boyd,2011).Beyondthecontextofpolitics,bothmicro-celebrities
andgeneraluserswhocommunicatewithdiverseaudiencesthroughsocial
mediashouldconsideradoptingabalancingstrategytomaximizethebenefitsof
theirnetwork.Ourstudiessuggestthatthebalancingstrategyprovidesan
alternativeandmorepositiveapproachtoonlineimpressionmanagement,as
opposedtoaratherdefensiveself-censorshiptactic(Marderetal.,2016a).
LimitationsandFutureResearch
Thisstudyhasseveralstrengths,includingitslongitudinalapproachinwhich
stimulusmaterialsarrivednaturallywithinTwitternewsfeeds.Furthermore,it
employedthewell-establishedtheoreticallensofself-presentationtoexamine
animportantphenomenonofinteresttopoliticalparties,researchers,and
platformdesigners.However,thestudydoeshavesomelimitations.First,
althoughwemadeeffortstoincreaseecologicalvalidity(e.g.througha
longitudinaldesignadministeredthroughtheinterface),akinwithmost
experimentsourstudywaslimitedduetotheinabilitytotestreal-life
phenomenon.Weproposetherearemanyreal-worldfactorsthatmaychallenge
ourfindingstheseincludepre-existingattitudesofthepoliticianorparty,the
timeuntilelectiondayandthespecificsentimentoftheback-stagecomponentof
theTweets.Forexample,ourcontrolledexperimentalfindingsmustbetaken
withapinchofsaltwhenconsideringtheimpactofTrumpintheleaduptothe
2016Presidentialelection,whowaswidelydiscussedtohavebeentweetingin
anunprofessionalmanneraboutprofessionalmatters.Duetothelimited
ecologicalvalidityofourstudywecallforfurtherresearchtovalidateor
challengeourfindingscarriedoutontheexistingtwitteractivityofreal-life
politicians.Specifically,studiesshouldcodeexistingtweetsfortheself-
presentationalstrategiestheorizedhereandascertaintheirimpactthrough
examiningengagementstatistics(e.g.no.retweets,replies)andanalyzethe
sentimentwithintheseinteractions.
Second,weexaminedonlytheefficacyofawithin-tweetbalancingstrategy;
futurestudiesshouldexamineandcontrastexperimentallytheuseofwithin-
tweetandbetween-tweetbalancingstrategies.Third,wedidnotprovidea
controlconditionofback-stage-onlytweets.Thisomissionwasdrivenbyour
preliminarycontentanalysisofpoliticians'tweets,whichfoundthattheyalmost
invariablycontainedaprofessionalelement,andourownresourcerestrictions
associatedwiththelongitudinaldesign.Thoughthecomparisonconductedhere
betweenfront-stage-onlyandbalancedself-presentationprovidesauseful
contributiontotheoryandpractice,throughbeingthefirsttestforMarwickand
Boyds(2011)theorizedstrategyandsheddinglightonareal-lifeissuefor
politicians.Futureresearchshouldcontrolforback-stage-onlytweetstoextend
andvalidateourfindings.
Fourth,ourstudyusedhypotheticalpoliticiansandparties,thuscontrollingfor
previouslyformedattitudesthatparticipantsmayhavehadtowardknown
entities.Thoughthisaspectofourmethodwasadvantageousforinternal
validity,itreducesecologicalvalidityinordertoavoidthepossiblecomplexities
notedbyLeeandOh(2012),whousedrealpartiesintheirresearch.Additional
studiesshouldreplicateourstudydesignwithreferencestorealpoliticalentities
tounderstandtheimpactofthispotentiallyconfoundingfactor.
Fourth,althoughwehadgoodreasonsforexaminingthedependentvariablesat
thepartylevel,theeffectsofabalancedstrategymaydifferatthelevelofthe
individualpolitician.Finally,thegeneralizabilityofthestudyislimitedtoa
westernEuropeancontext,andthereforecautionmustbepracticedwhen
extrapolatingthefindingsbeyondthisregion,ortocountriesthatdonothave
party-listelectoralsystems.Futurestudiesshouldexaminebalancingstrategies
inothercountrieswithdifferenttypesofelectoralsystems.
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Table1
Variable 1.Meanwithin-tweetbalancingstrategy(N=134)
2.Meanfront-stage-onlystrategy(N=131)
P<
Likingthecommunication
4.04 4.84 .01
Interestinthepoliticalparty
4.87 5.46 .05
Intentiontovoteforthepoliticalparty
4.12 4.82 .05
Figure1Βab=.356LowerLimitofConfidenceInterval=.099UpperLimitofConfidenceInterval=.713
±n.s;*p<0.05;**p<0.01
Front-stage/Balancing
Likingthecommunication
Interestinthepoliticalparty
cβ=.185±
β=.817*a
β=.486**b
Figure2Βab=.397LowerLimitofConfidenceInterval=.085UpperLimitofConfidenceInterval=.663
±n.s;*p<0.05;**p<0.01
Front-stage/Balancing
Likingthecommunication
Intentiontovoteforthepoliticalparty
cβ=.338±
β=.817*a
β=.437**b
Appendix1:Examplesoftweetsusedinthestudy(translatedfromSwedishbytheauthors)Front-stage-onlytweets
Onmywaytoadebateonschoolpolicy.
Justhadlunchwithagroupofninth-gradersvisitingparliament.
Justfinishedanop-edpieceonthenationsbudgetingprocess.
Ataribbon-cuttingceremonyofthenewandimprovedraillinkbetweenTrelleborgandMalmö.
VisitingthelocalGothenburgchapterofthepartyonmywaybackfromSkåne.Balancedstrategytweets
Onmywaytoadebateonschoolpolicyafterdroppingthekidsoffatdaycare.
Justhadlunchwithagroupofninth-gradersvisitingparliament.Theyremindmeofmyselfatthatage.
Justfinishedanop-edpieceonthenationsbudgetingprocess.Hittingtherunningtrailshortly.
Lefthomeearlythismorning.Nowataribbon-cuttingceremonyofthenewandimprovedraillinkbetweenTrelleborgandMalmö.
VisitingthelocalGothenburgchapterofthepartyonmywaybackfromSkåne.Ranintoanoldfriendfrommytimeinthepartyyouthorganization.