1 A roadmap for future human-machine networks for Citizen Participation Paul Walland and Brian Pickering IT Innovation Centre Gamma House Enterprise Road Southampton SO16 7NS {pww,jbp}@it-innovation.soton.ac.uk 1 Introduction Whilst the OECD report recognises the value of ICT technologies within democratic processes (Co- operation & Development, 2004; Coleman & Norris, 2005), not least because of the size and reach of the Internet (Dutt & Kerikmäe, 2014), there are still many problems which remain. There is a difference between on- and offline democratic processes (Dutt & Kerikmäe, 2014): people may be used to social networks and online debate, but this may not translate directly into participatory behaviour (Panagiotopoulos, Sams, Elliman, & Fitzgerald, 2011). eDemocracy and eParticipation may therefore complement rather than replace traditional processes (Coleman & Norris, 2005). There may be differences at the level of debate. For instance, socio-technical systems may encourage the extent of debate but may not improve the quality of that debate (Loukis & Wimmer, 2012). In fact, the goal should not necessarily be about arriving at political decisions across different factions and interest groups, but perhaps more to encourage a given group to discuss and refine what they think to be the main issues (Kreiss, 2015). And providing tools to support discussion needs to strike a balance: very structured engagement may lead to more polished outcomes, though this may be to the exclusion of many groups (Loukis & Wimmer, 2012). What is more, there is a need to understand how individuals react and behave online: simply put, how do we define an ‘ePerson’ (Dutt & Kerikmäe, 2014)? This is important, because individuals have a social identity which affects how they interact with others. Discussion online or offline is an inherently social activity (Kreiss, 2015) and will be influenced, therefore, by social forces (Ronson, 2015; Stott & Reicher, 2011). All of this leads to the complex integration of social, political and technical facets (Coleman & Norris, 2005; Macintosh & Whyte, 2008). In that context, there needs to be a balance struck between stakeholder interest and expectation on the one hand, and socio- technical issues such as acceptability, system adoption and willingness (Macintosh & Whyte, 2008). In exploring the roadmap for citizen participation, therefore, there are multiple factors which need to be addressed. Online participation is clearly not about straight-forward transfer of offline processes nor about getting the technology right. We need to engage with appropriate stakeholders, therefore, to identify what they believe to be the ultimate goals and challenges for the domain. However, it will be important to consider too how HUMANE and the HUMANE approach to HMN categorisation might inform suggestions for understanding potential problems and proposing relevant solutions.
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A roadmap for future human-machine networks for Citizen Participation
Paul Walland and Brian Pickering IT Innovation Centre
There may be differences at the level of debate. For instance, socio-technical systems mayencouragetheextentofdebatebutmaynotimprovethequalityofthatdebate(Loukis&Wimmer,2012). In fact, the goal should not necessarily be about arriving at political decisions acrossdifferentfactionsandinterestgroups,butperhapsmoretoencourageagivengrouptodiscussandrefine what they think to be the main issues (Kreiss, 2015). And providing tools to supportdiscussion needs to strike a balance: very structured engagementmay lead tomore polishedoutcomes,thoughthismaybetotheexclusionofmanygroups(Loukis&Wimmer,2012).
Whatismore,thereisaneedtounderstandhowindividualsreactandbehaveonline:simplyput,howdowedefinean‘ePerson’(Dutt&Kerikmäe,2014)?This is important,becauseindividualshaveasocialidentitywhichaffectshowtheyinteractwithothers.Discussiononlineorofflineisaninherentlysocialactivity(Kreiss,2015)andwillbeinfluenced,therefore,bysocialforces(Ronson,2015;Stott&Reicher,2011).Allof this leadstothecomplex integrationofsocial,politicalandtechnicalfacets(Coleman&Norris,2005;Macintosh&Whyte,2008).Inthatcontext,thereneedstobeabalancestruckbetweenstakeholderinterestandexpectationontheonehand,andsocio-technicalissuessuchasacceptability,systemadoptionandwillingness(Macintosh&Whyte,2008).
Inexploringtheroadmapforcitizenparticipation,therefore,therearemultiplefactorswhichneedto be addressed. Online participation is clearly not about straight-forward transfer of offlineprocesses nor about getting the technology right. We need to engage with appropriatestakeholders,therefore,toidentifywhattheybelievetobetheultimategoalsandchallengesforthe domain. However, it will be important to consider too how HUMANE and the HUMANEapproachtoHMNcategorisationmightinformsuggestionsforunderstandingpotentialproblemsandproposingrelevantsolutions.
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2 Creating the roadmap
Basedontheoutlinedescribedin(Jaho,Klitsi,Sarris,etal.,2017;Klitsi,Jaho,Pickering,&Walland,2017),theroadmapforcitizenparticipationisbasedonaniterativeapproachwhichissummarisedin Figure 1 below. As depicted, this is very much a ‘user-centric’ method, involving directparticipationinameta-discussionofthetypeofactivitieswhichdirectlyinvolvesthemorthattheywouldbeinterestedin.
Having identified the specific domain reviewed current knowledge and understanding of thatdomain(seetheIntroductionabove),thefirststepistoreviewtheecosystemandidentifythoseassumedtobethemostrelevantactorsinthenetwork.Inthefollowingsections,wesummariseourapproach.Further,bywayofupdatetotheresultspresentedinKlitsietal.(2017),additionalresponseshavebeenincludedintheanalysesreportedhere.
Figure2summarisesthestepstothegenerationoftheCitizenParticipationroadmapdescribedbelow. To beginwith, the roadmap startswith someof the conclusions from the introductionaboveandbasedonreferencescited.InrelationtotheoverallprocesssummarisedinFigure1,thefigureshowsthevariousstepstakenandtheoutcomesofthequantitativesurveyrunaspartofHUMANEroadmapping(Jaho,Klitsi,Følstad,etal.,2017;Jaho,Klitsi,Sarris,etal.,2017;Klitsietal.,2017).
Figure3:ARoadmapforCitizenParticipation
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The roadmap clearly suggests away forward from false assumptions based on existing onlineparticipatoryactivitiestranslatingdirectlytoeParticipation.Thisisnotthecase,though,andfailsto identify the typesof goals andaspirations thatusershaveof theHMN.Asdescribed in theprevioussection,theoverallgoalsarenotintheformofspecificissuesaroundtechnologyorotherICT enablers, nor indeed about regulation of networks. Instead, they focus specifically oninteractionanddebateintheHMN:generatingacultureforengagementisexactlywhatisneededtoencouragepublicdebate,but tokeepparticipationgoing, thereneeds tobeanappropriatewillingnessonallsidestotrusteachotherandtheprocess,andtoprovethattheyareallworkingtogethertoachievetheoverallgoalsofthenetwork.
In finalisingtheroadmap, it is importanttovalidatethat inaddressinganyspecificchallenge,asuitable result is reached for all stakeholders: noone stakeholder shouldbegivenany specificadvantageoveranyother. In this section,wewill consider caseswhere theremaybeconflictsbetweenthegoalsandprioritiesofindividualparties.
Increasingly,ithasbecomeclearthattheHMNitselfismorethanthesumofitsindividualparts.Trustforinstanceneedstobeinthenetworkratherthanindividualinterestsorgoals;similarly,motivationmustbebasedoncontributiontothesuccessfuloperationoftheHMNratherthanforindividualoutcomesorexpected results. Indeveloping this roadmap, therefore, it hasbecomeclearoncemorethananHMNassumesapurposeasacollaborativeentityandnotinservinganindividualwithinthenetwork.
5 Mechanisms for Conflict resolution
Asidentifiedintheprevioussections,anumberofspecificconflictshavearisenastheroadmaphas beendeveloped. Such conflicts reflect issues related to stakeholder expectations andhowthese differ from stakeholder to stakeholder, to providing trust mechanisms, and to supportmotivation.Toresolvetheseissues,theHUMANEtypologyandmethodologyprovidesasuitablesetofdesign solutionswhichofferHMN-centricnotnecessarily specific toCitizenParticipationnetworks.Theseare summarisedbelow; theorder is as theyappear in (Følstad,Yasseri, etal.,2016). The design solutions were separately validated and are grouped into specific areas:
Provide what is desired, not justwhatisknown(Experience)
This design solution is geared specifically towardsensuringthatrelevantinformationisprovidedandnotjuststandardmessages.Assuch,thiswouldmeanthatparticipants would be given access to informationrelated directed to any given interaction, i.e., theparticularlydiscussionthattheindividualsareengagedwith. This might be expected to relate to Trust andMotivationaspotentialsourcesofconflict.
Motivating users to contributecontentinHMNs(Motivation)
This solution is aimed at making it easy for users tocontributeandengage.Ofcourse,thismaybedifferentdependingonusercategory–e.g.,whethertheuserisa citizen or policy maker. This obviously relates toconflicts between Stakeholder Expectations, andsuggests thatall expectationsneed toconsideredanddesigned for. Clearly, this will also have relevance toMotivation.
Reward users to keep themmotivated(Motivation)
Althoughthis isostensiblyanobviousdesignsolution;gamification, for example, is often used to encourageparticipation.However,motivationmaynotsimplybeaproduct of ‘badges’: prosocial behaviours for instancearenotnecessarilymotivated thisway. It is thereforeimportantthattherewardbeassociatedwiththegoalsand expectations of users. For example, for CitizenParticipation, thismight be providing direct access topolicy makers for a specific discussion. This relatesspecifically to Motivation. However, if the rewardincludes appropriate transparency and informationaboutthenetworkandhowitfunctionsmaypromoteTrust.
This group of design solutions relate specifically toexploiting the social natureof online interaction (see,
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Preserving reputation of anindividual,companyororganizationinHMNs(Reputation)
forinstance,Kreiss,2015).Clearly,muchcanbelearnedfrom understanding social forces, including socialidentity and intergroup factors. This clearly relates toMotivation; but as social engagement also includesfactorsofTrust.Behavioural change through social
motivation(Behaviouralchange)
Collaboration between machinesand humans through machinelearning(Collaboration)
Thismay seema surprisingdesign solution.However,allowing AI techniques to identify patterns ofbehaviours or activity would provide valuableinformationwhichcouldbeusedbyallparticipants inthe network to understand each other’s motives anddrivers.ThiswouldhelpsupportissuesofunderstandingStakeholder expectation, and might encourage TrustandMotivationinconsequence.
Apply loyalty ladder to build andmaintain a sustainable user base(Loyalty)
This design solution relates back to reward systemsoutlinedabove.Assuch,itmaysupportMotivationandTrust.
IfparticipantscanbeencouragedtotakeownershipfortheHMN, then thismaybeexpected tocontribute tothesuccessofthenetwork.Insodoing,thiswouldhelpMotivation and Trust. It may also help participantsunderstandStakeholderexpectation,andmay leadtoincreasedparticipation.
Supporting social interactionthrough strengthening within-platform communication (SocialInteraction)
This design solution relates back to the social forcesmentionedabove.
Contributors learn to improve bybeing consumers first (InnovationandImprovement)
This design solution relates especially to Stakeholderexpectation: allowing different participants to gain aperspective of other players in the network mayencourageabetterunderstandingandappreciationofthosedifferentplayers.Assuch,thismaysupportTrustandMotivation.
Strengthen innovation throughinfrastructure for informal
This design solution explicitly recognises that HMNsmay develop in unexpected directions. However,
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collaboration (Innovation andImprovement)
designing for serendipitous interaction betweenparticipantsatdifferenttimesmightencourageTrustattheveryleast,butalsoMotivation.
Employ automatic quality control(Productquality)
ThisrelatesbacktomachinelearningandAIwithinthenetwork. However, in respect to the quality ofcontributions (Loukis & Wimmer, 2012), having anautomatedsystempromptparticipantstoimprovethequality of their input privately rather than publicallyacross the networkmay encourage participation, i.e.,relatetoMotivation.
Protect new users for beginning(Networkgrowth)
As above, allowing new users to find their own way,possibly even via making mistakes, then this mayencourage Motivation, and possibly Trust in thenetwork.
Managingprivacy(Privacy) Thisisanobviousdesignsolution:participantsneedtoknowthattheirpersonaldatabutalsotheirinteractionsare protected. This would support Trust as well asMotivation.
Strengthen trust through efficienthandling at first point of contact(Trust)
Related to the social forces comments above, andobviouslyrelatedtoTrustandMotivation,thesedesignsolutions provide obvious support to the ongoingsuccessoftheHMN.
finalise the roadmap creation as shown previously by providing solutions to possible conflictswhichmightotherwisemeanthatthechallengesidentifiedcannotbeaddressed.
6 Conclusion
LookingatissuesforCitizenParticipationprocesseshashighlightedboththeoverallaimsfortheHMNsthatmightbeusedtosupportparticipationinthisdomain.Indevelopingasuitableroadmapthoughitisimportantnotonlytoidentifypotentialchallengesalongthewaybutalsoanyparticularconflictswhichmayhamperprogress towards theultimate goals of thenetwork.Usingdesignsolutionsderived froma considerationof implicationsassociatedwithHMNs inotherdomains(Følstad,Engen,etal.,2016),possibleconflictscanberesolvedtoenablethesuccessfulgrowthandcontinuousdevelopmentofHMNsaimedatsupportforCitizenParticipation.
7 References
Clark, D. D., Wroclawski, J., Sollins, K. R., & Braden, R. (2005). Tussle in cyberspace: definingtomorrow's internet. IEEE/ACM Transactions on Networking (ToN), 13(3), 462-475.doi:10.1109/TNET.2005.850224