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    The Interactivity of Political Engagement

    GRAHAM LALLY

    Submitted in partial fulfilment of the requirements for the degree ofMSc in Public Policies for Science, Technology and Innovation

    SPRU - Science and Technology Policy Research

    University of Sussex

    August 2006

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    Acknowledgements

    Thanks are due to a number of people without whom this dissertation would not have been

    even half as complete or enjoyable. Thanks must go to Erik Millstone for his guidance and

    advice, and to Carmen Long for remembering all the things I had forgotten. Extensive

    gratitude must go to Professor Ed Steinmueller for his unquenchable source of knowledge,

    ideas, criticality and patience. I would like to thank my family for their support, and for the

    provision of wallet-threatening distractions which no doubt kept me sane. Finally, I could not

    have done this without the patience, understanding, wisdom and numerical superiority of Julie

    Morgan who has been there throughout, even while life has had far too much caffeine.

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    Summary

    This dissertation examines the links between the interactivity of network ICTs, political

    engagement, and the structure of democracy. It investigates the role of the public sphere,

    examines the different forms democracy can take, and analyses how the notion of interactivity

    can be formalised, before applying these principles to some original empirical research. This

    research seeks to understand differences and similarities between a number of organisations

    and groups involved in the political process.

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    Contents

    Acknowledgements .....................................................................................................................2

    Summary .....................................................................................................................................3Contents ...................................................................................................................................... 4

    List of Tables, Figures and Graphs .............................................................................................5

    1. Introduction .............................................................................................................................5

    1.1. The Technology of Equality ............................................................................................ 8

    1.1.1. Diffusion of access ....................................................................................................9

    1.1.2. Diffusion of capabilities .......................................................................................... 10

    1.3. Aims of the Research ..................................................................................................... 11

    1.4. Why is this an important topic? ..................................................................................... 11

    2. Theoretical Framework ......................................................................................................... 15

    2.1. Public Spheres and Network Politics .............................................................................15

    2.1.1. The Evolution of the Public Sphere ........................................................................ 152.1.2. Models of Democracy .............................................................................................17

    2.2. Issues of Adoption ......................................................................................................... 21

    2.2.1. Individual Factors ................................................................................................... 22

    2.2.2. Social Factors ..........................................................................................................24

    2.2.3. Political Factors .......................................................................................................26

    2.2.3.i. Institutional Politics .......................................................................................... 26

    2.2.3.ii. Socialization of Politics ................................................................................... 29

    2.3. Defining Interactivity .....................................................................................................29

    2.3.1. Measures of Interactivity ........................................................................................ 30

    2.3.1.i. McQuail ............................................................................................................ 30

    2.3.1.ii. Rafaeli ..............................................................................................................33

    2.3.1.iii. Manca ............................................................................................................. 33

    2.3.1.iv. McMillan .........................................................................................................34

    2.3.1.v. van Dijk ............................................................................................................ 35

    2.3.2. Collecting and integrating axes ...............................................................................37

    2.4. Technology and Concepts ..............................................................................................41

    2.5. Modern Communication Tools and Systems ................................................................. 43

    3. Research ................................................................................................................................ 45

    3.1. Hypotheses .....................................................................................................................46

    3.2. Implementing the Framework ........................................................................................46

    3.2.1. Notes on the coding of technologies ....................................................................... 463.2.2. Selection Criteria (or Units of Analysis) .................................................................49

    3.2.3. Notes on the coding of websites ............................................................................. 52

    4. Findings .................................................................................................................................53

    4.1. Discussion ...................................................................................................................... 62

    4.2. Limitations of the Study and Further Research ............................................................. 66

    5. Implications and Conclusions ............................................................................................... 68

    5.1. The Implications for Organisations ................................................................................70

    5.2. The Implications for Policy-Makers .............................................................................. 70

    5.3. The Implications for Citizens .........................................................................................71

    Bibliography ..............................................................................................................................72

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    List of Tables, Figures and Graphs

    Table 1.van Dijk's dimensions of democracy 19Table 2.

    Description of models of democracy19

    Table 3.McQuail's dimensions of interactivity 31Table 4.McQuail's measures of interactivity 32Table 5.Rafaeli's measures of interactivity 33

    Table 6.Manca's measures of interactivity 34

    Table 7.McMillan's measures of interactivity 35

    Table 8.van Dijk's measures of interactivity 37

    Table 9.Summary of measures of interactivity 37

    Table 10.Summary of distilled measures of interactivity 41

    Table 11.Interactivity scores for list of technologies 48

    Table 12.Technology use per site 55

    Table 13.Total interactivity scores per site 54Table 14.Normalised scores per site 56

    Table 15.Descriptive Statistics based on table 12 56

    Table 16.Spearman's Coefficients 59

    Table 17.Summary statistics for Principal Component Analysis 60

    Table 18.Initial component matrix for Principal Components Analysis 60

    Table 19.Rotated (via Varimax) component matrix for Principal Components Analysis 61

    Table 20.Factor values per site 62

    Figure 1.McMillan's four-part model of cyber-interactivity 35

    Figure 2.Integrated hierarchy of Rafaeli's interactivity levels with Manca's feedback 40

    Figure 3.Histogram of V1, amount of decentralisation over information storage 57

    Figure 4.Histogram of V2, amount of decentralisation over message transmission

    control

    58

    Figure 5.Histogram for V3, level of interactivity 58

    Figure 6.Scatter plot for sites post Principal Components Analysis 62

    1. Introduction

    The Internet offers a vast potential to bridge previously unconnected spaces. Its point-to-point

    nature, along with the established globe-spanning telephonic networks and the mass

    production and availability of network terminals mean that individuals have an immense new

    opportunity to engage with other individuals, from one living room to another on the other

    side of the world. The move these networks have made, from only carrying voices to

    conveying electronic signals representing anything that can be converted text, sound, video,

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    money - has resulted in an entirely new, entirely different, and very exciting social

    experiment that nobody planned. (Rheingold, 2000:xx)

    This unbridled expansion in connectivity brings with it many emotions uncertainty and

    opportunity, risk and optimism. The paradigmatic shift offered by the rise of such a

    networked society places us in a state in which progress is difficult to predict, measure, or

    even define. Set against an already inconstant political backdrop, analysing the threads that

    draw together political opinion, technological progress and decisive policy-making becomes

    more of a challenge than ever before.

    This newly ubiquitous and personalised nature of network technology sheds fresh light on the

    role of the individual within democratic society. As new avenues of social possibility are

    opened up, so too are many questions concerning the identity of our selves as both users and

    opinion-holders. How should we involve ourselves in political processes? What forums

    should we participate in? How should we filter information or indeed why should we filter

    it? As Boeder, writing of Poster, puts it, What kind of community can there be in this

    space? (Boeder, 2005: no page, emphasis added)

    In this dissertation, I raise the questions of how technology interacts with a view of the

    public sphere that continues to evolve over time, whether an inequality exists in the

    provision of political services based upon new technology, and where this technological trend

    is likely to go in the future. I argue that, while a more diverse range of options for political

    interaction is becoming available for the individual, the availability and variety of Information

    and Communication Technologies (ICTs) available are not necessarily available to all

    organisations. Rather, there are new opportunities for two sets of groups: those with sufficient

    resources to implement a diverse set of technologies, and those with the technological

    capabilities to implement appropriate technologies. Moreover, I argue that the availability of

    new technologies to groups with limited resources goes hand in hand with a move towards

    specialisation in political activities.

    Before making these arguments, though, it will be necessary to first draw a frame within

    which the topic can be understood properly. In order to accomplish this, I will discuss a

    number of issues that relate in different ways to the research.

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    The dissertation begins with a short introduction to the area of equality in technology. This is

    intended to establish the currentpoliticalthinking in terms of what role technology plays in

    society today, and to explain the variety of levels at which inequalities can be identified. This

    is followed by a summary of the aims of this dissertation, and a discussion on what

    importance it has.

    The theoretical framework is laid out in three parts. First, I examine some high level models

    of political networks, including a historical perspective based on Habermas' concept of the

    public sphere and a system to map different models of democracy based on work by van

    Dijk and Held. By presenting these abstracted ideas first, the more detailed notions and

    patterns introduced later will be more easily understandable as parts of a whole. Furthermore,

    it is hoped that by starting with the political side of the discussion rather than the purely

    technical side, a human context rather than a technical one will be established. This

    distinction, while possibly being subjective, is, in my view, an important one to make.

    The second part of the theoretical framework investigates the relationships of technology on

    three scales: with the individual user (e.g. usability), with society as a whole (e.g. network

    externalities), and with politics as a specific set or activities and organisations within society.

    This division of levels should aid the reader in connecting the abstract, macro-scale ideas

    presented in the first section with the user- or connection-centric specifics looked at in the

    section that follows.

    This section, the third of the framework, describes a variety of ways in which the concept of

    interactivity in technology and user interfaces can be analysed. Concepts of interactivity

    from a number of fields are examined and compared, and their relevance to the topic at hand

    is considered. This section is important, in that it provides the basis for, and leads on to, the

    empirical research conducted later.

    Following this theoretical framework, the research will be presented. As explained in more

    detail below, this attempts to rate a number of politically-based websites along the measures

    of interactivity as defined toward the end of the theoretical framework. The results of this

    research will then be presented, examined and discussed using this framework as a

    background. Finally, the limitations faced by the research, ideas for further study, and some

    discussion of the implications of the findings will be explored.

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    1.1. The Technology of Equality

    For as long as networked ICTs have been available, people have noted the possibility that

    these technologies can create new opportunities for inequality as well as equality and

    collaboration. The apparent and sheer amount of fundamental change that this new breed of

    technology can bring is often referred to as revolutionary, or considered as a new shift in

    paradigm on the same scale as the introduction of railroads or electricity. (Freeman & Soete,

    1997: 18-22)

    Despite the ubiquity of ICT as part of both the global economy and a global society, concerns

    over social equality are still very much in the minds of governments1 and researchers2. But

    questions abound: Who is being left out, and of what exactly? Why are they being left out

    so? Do they needto be connected? At what point, or at what level, should inequalities be

    taken as acceptable? And does further technological advancement simply amplify these

    issues, or offer a way to alleviate them? This section hopes to deal with some of these

    questions by looking at the different scales at which inequalities can occur.

    As networks have replaced or augmented traditional means of organisation, communication

    and bureaucracy, the extent to which we become reliant on them has grown dramatically.

    Gradually, the various domains that we all bear some relationship to every day have

    incorporated and adapted these technologies of connectivity to suit their own purposes; from

    military exercise to academic community, from passionate hobbyists to multinational

    corporate firms and to small businesses. With this expansion has come greater

    interconnectivity, and greater interdependency - more flexible production systems, more

    possibility for global communication. Yet it would be foolhardy to assume that this expansion

    has occurred in equal parts or without effect.

    The distribution of technology must be understood on two levels, but this may only be done

    (and hence the research given validity) by acknowledging the wider context within which it is

    positioned. Firstly, there is the encapsulation of networks within a (for sake of argument)

    capitalist system, a point which can hold influence over whether networks are intended for

    1 See, for example, the report on Connecting the UK: the Digital Strategy (Prime Minister's Strategy Unit,2005)

    2 See, for example, The UK Geography of the E-Society (Spatial Literacy, 2006)

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    communication orcontrol(Barney, 2000. See also Dean, 2003; Sussman, 1997). Furthermore,

    this market setting means that any imbalances in resources prior to the introduction of

    technology are maintained (or even amplified) through the introduction of this extra, and

    often expensive, product. Secondly, the progressive rate of technology introduces

    inequalities according to the capabilities of individuals and organisations to continuously

    adopt. Both of these will be looked at in more detail below.

    1.1.1. Diffusion of access

    The more traditional identification of the Digital Divide, while still depending somewhat on

    who employs this term and to whom the argument is addressed (see Joseph, 2001 for

    example), reflects upon and arises from the ability and/or motivation to purchase required

    hardware, software and connectivity (such as ADSL, et al). As Peslak puts it:

    The digital divide is simply the concept that some individuals or groups have access and

    use of information technology whereas others do not.

    (Peslak, 2006: no page)

    This, in turn, is dependent on how necessary this hardware and software is perceived and

    who holds these perceptions. This subjectivity is demonstrated through the numerous models

    that tackle the provision by the state of various resources, such as basic levels of food,

    clothing and health care. Such provisions, and ideas of what citizens are 'entitled' to, are based

    on several factors. On one hand, the gap between the availability of resources and the extent

    to which society as a whole relies on those resources may, if large enough, indicate or lead

    to a two-tiered structure as identified above. On the other hand, intervention may have other,

    undesirable effects, such as the disruption of possible market efficiencies.

    Solutions being proposed and implemented for this divide include reduced cost hardware such

    as more affordable laptops3 (a market-based approach), the UK's Home Computing

    Initiatives4 and free public access at locations such as libraries (both more state-based

    approaches). However, in the UK at least (and in much of Europe), such interventionist

    schemes are implemented relatively little, and even less for connectivity. The prevalent mode

    3 http://laptop.media.mit.edu/

    4 http://www.ukhomecomputing.co.uk/, although no longer available since April 2006.

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    http://www.ukhomecomputing.co.uk/http://www.ukhomecomputing.co.uk/
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    of thought dictates that market forces should be allowed to develop as much as possible, such

    that connectivity as a resource eventually reach accessible costs as a result of competition

    (DTI, 2004). The intricacies of this argument are outside the scope of this research, but it is

    certainly worth noting the current state philosophy here.

    1.1.2. Diffusion of capabilities

    Many people recognise that access alone is not sufficient to become an equal in networked

    participation. Mossberger, Tolbert and Stansbury (2003) make a good effort to expand the

    understanding of the term Digital Divide to include a variety of further divides that should

    be considered additionally, although here we will concentrate on the second of these (after

    issues of access). As they put it, having access to a computer is insufficient if individuals

    lack the skills they need to take advantage of technology. (Mossberger, Tolbert and

    Stansbury, 2003: 1)

    The UK government highlighted this in its 2005 digital strategy report, noting that:

    ...cost is not the only or even the main barrier to take-up. First, some individuals may not

    have the confidence or skills to use computers, even though they may actually want to getonline.

    (Prime Minister's Strategy Unit, 2005: 5-6)

    There are a variety of ways in which this problem may be addressed for instance, by

    subsidising training schemes, encouraging more local and interpersonal support, and

    providing spaces on-line that people are comfortable using. From a design perspective,

    usability is an important issue with regard to both confidence and skill, and is an issue we

    shall return to later.

    Capabilities are subject to the same issues of intervention as access, although in a fashion that

    is even more difficult to untangle. While an equal level of comfort and ability may be

    obviously desirable in theory, in reality factors such as lifestyle and the amount of free time

    an individual has may be restrictive to learning. Therefore, skills that are deemed to be

    necessary to societal inclusion may need to be balanced against these alternative or 'wider'

    social factors. (Mansell and Steinmueller, 2000)

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    We will return to the ramifications of these layers of inequality later. For now, the important

    concept to note is that inequalities are almost naturally created by the diffusion of ICTs, but

    that with them come also the possibilities for renewed, and differentequalities.

    1.3. Aims of the Research

    This research aims to look at the third kind of inequality outlined above that of imbalances

    in the political system caused or exaggerated through the selected application of ICTs, each of

    which has different possibilities for networked interaction. It is not the aim of this dissertation

    to make normative judgements over whether these imbalances are desirable, or even

    avoidable. Instead, it is hoped that this dissertation will merely draw attention to the

    development and implementation process of a number of ICTs, and provide some further

    insight into the grey area that exists between the technology that each of uses or is expected

    to use and the decisions that affect society as a whole.

    1.4. Why is this an important topic?

    The impact of new forms of communication on the way society is shaped is an ever-

    increasingly complex question. It is a relatively simple matter to discern the immediate effects

    of a single piece of technology on an individual at a particular moment in time (such as in the

    study of Human-Computer Interaction, for example), but the complex patterns that emerge at

    a larger, societal level mean that effects can often be unpredictable even when desirable.

    Many concerns are raised only with hindsight, as an existing technology is adopted inincreasing amounts and the ramifications gradually become clear to those paying attention.

    Perhaps it is the novelty and possibility of new concepts that obscures a rational foresight, but

    the difference between what can be achieved and what willbe is a large one, and in this

    manner the author of this research agrees with Clift: the existence of new technology does

    not necessitate its use nor does it change the innate behaviour of citizens, politicians or civil

    servants. (Clift, 2004: 4) This balance between technological determinism and social

    constructivism will be investigated further later, but the notion is one to be remembered

    throughout.

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    We have already examined the most basic ideas that make up the Digital Divide - access,

    confidence and skills. However, it can be said that there is a certain lack of enthusiasm to

    investigate issues of inequality beyond these to examine topics of more subjective moral

    value, for example, or to analyse the tools which we still place much faith in as a society. We

    hope for the best, notes Barney, when we are unable or unwilling to thinkabout what is

    best. (Barney, 2000: 5, emphasis in original) On a psychological level, this hope is often

    preferable to dealing with reality in many instances, for example, faith in a theoretical

    market optimum is a (rational) alternative to more detailed investigation. But just as issues of

    access and capability do not always resolve themselves, so also can we not simply leave

    further development solely in the hands of hope.

    The normative nature of technology is an idea long-discussed in academic circles (for

    example Winner, 1985), yet the matter is hardly discussed in the realm between policy-maker

    and citizen. The idea of a Digital Divide, with its shifting definition as seen above, is

    wielded more as a political argument than as the introduction to a wider-ranging discussion on

    how our society inter-relates to technology. Yet, as we shall see in this dissertation, the nature

    of how we govern ourselves is fundamentally entwined with how we apply our technical

    knowledge.

    The link between communication, debate and action is clear to all, even if the nature of that

    link is complex and often confusing. By investigating the relationship between new forms of

    communication and the evolution of political structures in the UK, this research hopes to

    extend the perception of digital equality outwards, from simple attention to the individual as

    seen in the divides so far, to what it means to be a connected individual. Does democratic

    equality necessarily ensue following a satisfactory regime of access and skill? This research

    argues that there remain many obstacles to obtaining such a position, and hopes to highlight

    these through an examination of new political means from a mainly user-centric point of

    view.

    This perspective entails identifying the bridge through which individuals (or users) derive

    their connectivity, and in doing so identify with a more digitally-connected society. This

    research takes the idea ofinteractivity as the focal point of this bridge, a term that is at first

    somewhat nebulous, but that will hopefully become more concrete as the discussion

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    progresses.

    A prime example of the importance of interactivity for the individual is found in Downes and

    McMillan's excellent overview of the concept of interactivity:

    Schaffer and Hannafin (1986) found that recall was significantly enhanced by increased

    interactivity.

    (Downes and McMillan, 1986: 160)

    This is representative (by no means exclusively) of the psychological, user-centric impact that

    technology can have that has a direct bearing on their ability to participate meaningfully in

    debate. More generally, as Boeder notes, [p]ublic opinion can only be formed if a public that

    engages in rational discussion exists. (Boeder, 2005: no page) This ability to engage with

    both a group and with appropriate information emphasises the need to understand interactivity

    as apoliticalartifact.

    Furthermore, group engagement is a consistent theme in the literature on participation. Before

    the rise of electronic networks, Habermas remarked:

    In the course of our century, the bourgeois forms of sociability have found substitutes that

    have one tendency in common despite their regional and national diversity: abstinence

    from literary and political debate ... no public was formed around group activities.

    (Habermas, 1989: 163)

    This highlights the distinction to be made between mass communication andparticipation,

    the latter of which is considered essential by most if a respectable version of democracy is to

    be achieved. As Mossberger, Tolbert and Stansbury put it:

    From radical models of a pure direct democracy to more transparent representative

    systems, citizen participation is deemed as critical in governing accountability and public

    dialogue.

    (Mossberger, Tolbert and Stansbury, 2003: 88)

    In summary, the link between how we interact with technology and how our society is

    structured is a topic that bears more influence than it is otherwise given credit for in common

    discourse. Amongst the novelty of new technologies and the rush to implement them, it is

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    easy to forget that new trends are being established as a result. If we are to learn from the past,

    then we must first observe what is happening in the present in order to apply the lessons

    gained from existing research.

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    2. Theoretical Framework

    2.1. Public Spheres and Network Politics

    2.1.1. The Evolution of the Public Sphere

    In order to gain some historical perspective, this section will present a brief summary of the

    evolution of the public sphere - in particular, the rise of a politics that could be considered

    public in relation to the concept of a private domain. Here we will show that

    communication technology has been an inherent part of politics for a relatively long time,and that a pluralistic approach to politics is not necessarily the modern result of a new

    paradigm of technology either.

    It is worth noting that the accuracy of describing the Internet as a new form of public sphere is

    open to debate (Poster, 1995; Dean, 2003). Despite this, however, the public sphere paradigm

    is a useful one. Not only does it provide an established framework within which the topic can

    be systematically examined, it also suggests a central idea that allows for a historical

    perspective to be drawn through the naturally-turbulent evolution of political debate.

    In his widely influential book, The Structural Transformation of the Public Sphere, Habermas

    traces the beginnings of the idea back to an altogether new stage of capitalism that

    developed in Great Britain in the 16th Century. (Habermas, 1989: 17) With the expansion of

    foreign trade, a new infrastructure beyond the monarchy was needed to support the wider

    markets, incorporating both political efforts and military force. (Ibid.) In order to support

    these in turn, says Habermas, an efficient system of taxation was needed (Ibid.). This

    transition from feudal representation to state rule created room for another sphere known as

    the public sphere in the modern sense of the term: the sphere of public authority. (Habermas,

    1989: 18)

    At this point though, the definition of the term public is very much relative to the state of

    affairs that preceded it, and is somewhat removed from the notion of a general public that is

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    exercised today. Indeed, the private people who, because they held no office, were excluded

    from any share in public authority. (Ibid.) But this changed, as a result of the increasingly

    connected and dependent nature of this private sphere arising from mercantilism:

    The economic activity that had become private had to be oriented toward a commodity

    market that had expanded under public direction and supervision; ... Hannah Arendt refers

    to thisprivate sphere of society that has become publicly relevant

    (Habermas, 1989: 19, emphasis in original)

    This was the beginning of the idea of a public sphere, as an integration of what was

    previously isolated. The establishment of an overarching public authority, the countering

    establishment of an idea of privacy, and the resultant push for feedback from one to the other

    are all threads that are still very much relevant in examining the political landscape in a

    current context.

    By the end of the 17th Century, we can see the effect that the press were having on the

    political process. Even if the idea of public accountability had yet to be formalised, the

    concept had grown into an important political tool to be wielded when the time was right. The

    public spirit was from this time onward an entity to which the opposition could appeal...

    (Habermas, 1989: 64)

    The 18th Century saw further increases in the decentralisation of power and a more scattered,

    pluralistic (or even network) view of how debate should be carried out:

    Political associations too were formed in great numbers. The twenty-six county

    associations, founded in 1779 after the model of the Yorkshire Association, dealt with

    questions of war expenditures, parliamentary reform, etc.

    (Habermas, 1989: 65)

    Furthermore,

    Only toward the end of the eighteenth century did the parties attain an organizational

    basis outside of Parliament ... With the founding of local committees they assumed their

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    first solid organizational form.

    (Ibid.)

    We can see, then, that the fragmented nature of a public sphere that many seek to find in therecent rise of networked technology is not necessarily a new concept. The distinctions

    between public and private spheres, where public refers to the state and private refers to the

    market and the family, (Dean, 2003: 95) are conceptual inventions that merely serve to

    simplify reality (and hence, to some extent, distort it). Recognising this, Dean re-establishes

    the capitalist nature of the public sphere as communicative capitalism (Dean, 2003). By

    classifying capitalism in this way, Dean also highlights the ongoing relationship between

    numerous forms of capitalism with the public sphere; a relationship that is further traced by

    Habermas' association of mercantile capitalism with the initial emergence of the concept, and

    Barney's (2000) association of corporate capitalism with network control.

    It would be highly unfair to extrapolate this, and conclude that allaspects of democracy are

    an extension of capitalist methods and goals, though. In bringing this observation to light, the

    aim is, firstly, to refute any claims that a fundamentally new mode of politics is represented

    through emerging communication technologies (either by their promises, or their actualities),

    and secondly, to understand the influences that hold sway over the diffusion of

    communication technologies. With that in mind, a more general overview of the structure of

    democracy will now be examined.

    2.1.2. Models of Democracy

    Having looked back at the way in which political participation has grown and been

    influenced, it is now useful to identify a method of categorising different participatory

    mechanisms. In this section, a relatively short summary of the range of structures a

    democratic society and participatory politics can take will be presented. Here we will draw

    primarily on the categories and descriptions given by van Dijk (2000), who in turns draws

    upon and adapts held Held's widely-accepted Models of Democracy (Held, 1996). The

    primary goal of this section is to provide the reader not with an extensive list of the

    democratic models identified by various scholars, but to describe a practical set of dimensions

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    that can be used to locate the discussion later on. Some examples, however, will be provided

    by way of examples for these dimensions.

    Van Dijk introduces two dimensions in order to differentiate between the various modes of

    democracy discussed (van Dijk, 2000: 38-39). The first of these deals with theprimary goal

    of a democratic model, which is polarised into opinion formation at one extreme, and

    decision making at the other. The former refers to the airing of views how views are

    manifested, accounted and processed. It is concerned with whether or not everyone (defined

    according to the unit of application e.g. organisations or individuals) is represented, and

    how that representation comes about. The latter is more concerned with arriving at a decision

    on how to proceed, at some level, and as such deals with issues of deliberation, voting, and

    the dissemination of information.

    As we shall see, democracy models may sit towards one or the other, or locate themselves

    between the two if equal emphasis is placed on each extreme.

    The second dimension looks at theprimary means by which these goals are achieved, and

    contrasts representative democracy at one end with direct democracy at the other. This

    dimension is more self-explanatory than the first, and measures the level of intermediation

    present between citizens and decision makers, or the lowest and the highest levels of

    authority.

    Within these two dimensions, van Dijk places a total of six democratic models, five of which

    are taken from Held's initial list, with one further model libertarian democracy - being

    introduced to fit in with what van Dijk describes as the dominant model among the pioneers

    of the Internet community. (van Dijk, 2000: 44) As the influence of the Internet on politics

    and vice versa - has shifted significantly within the years since van Dijk's introduction of this

    model, it is questionable as to how relevant this last model is to research today. However, its

    inclusion here is merely to show how different perspectives on democracy fit into the axes

    chosen by van Dijk.

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    Table 1.van Dijk's dimensions of democracy (Source: van Dijk, 2000: 39)

    The table below presents summaries of the six models located within the two dimensions in

    table 1.

    Table 2.Description of models of democracy (Source: van Dijk, 2000: 39-45)

    Model Description

    Legalist Takes constitution and law as [the] foundation of democracy (van

    Dijk, 2000: 39) and advocates market mechanisms over state

    intervention. Accountability is more important than consultation with

    citizens, as the role of the state is to uphold the legal frameworkwithin

    which individuals make their own decisions (Held, 1996). Hence,

    information dissemination and transparency is considered important

    while decision-making mechanisms are considered unnecessary.

    Competitive Representative with a clear division of labour between representatives

    and voters (Held, 1996: 189) and an emphasis on voting to elect

    individuals responsible for making decisions. Two-party systems are

    the prime example of this model, although even if more parties are

    involved, there remains a strong principle of majority rule whereby

    popularity is essential.

    Plebiscitary Direct democracy, such that there is a direct link between decision

    makers and citizens, with an emphasis on decisions being made by

    citizens through referenda mechanisms. Hence, the role of votingsystems becomes pronounced. Like the competitive model of

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    Opinion Formation Decis ion Making

    Representative Democracy Legalist

    Competitive

    Pluralist

    Participatory

    Libertarian

    Direct Democracy Plebiscitary

    Primary Goal

    Primary Means

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    democracy, majority rule may be prominent, although the rule is aimed

    at decisions, rather than representatives.

    Pluralist Consisting of many centres of power and administration (van Dijk,

    2000: 42). A large number of organisations represent a multitude of

    minority viewpoints (and hence less need for collective will to achieve

    action), but there is less deliberation amongst citizens or organisations

    than the plebiscitary model. Held (1996: 217) differentiates between

    classicalpluralism and neo-pluralism, with the latter taking on a more

    competitive, more corporate and less equitable foundation.

    Participatory Maintains a decentralised mix of representation and direct democracy

    as per pluralism, but places much more emphasis on active

    citizenship (van Dijk, 2000: 44), with the aim of fostering

    knowledgeable individuals that are able to comprehend and participate

    in a collective political process.

    In some ways, this reflects an attitude for the promotion of the

    individual, rather than a workable model. For [i]f people know

    opportunities exist for effective participation ... they are ... likely to

    participate actively (Held, 1996: 268). (Of course, this establishes

    something of a vicious circle in which the problem of initiating a

    participatory process must be addressed.)

    Libertarian Not originally proposed by Held, but introduced by van Dijk to take

    into account the emergence of Internet pioneers with an interest in

    organisational methods. Has an emphasis of autonomous politics by

    citizens in their own associations using the horizontal communication

    capabilities of ICT (van Dijk, 2000: 45) but also subscribes to free

    market economics at the same time. In this sense, then, it is more

    anti-institutional-politics than pluralism, and shares some ground in

    common with legalism. The primary argument behind this model is

    that the new networks make traditional political structures somewhat

    obsolete. It should be noted that van Dijk's notion of libertarian

    democracy mentions little of the right to ownership or the lack of

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    collective action often associated with the definition of libertarianism.

    As such, it is the autonomous, almost detachednature of the model

    that is of most relevance here.

    By examining the diversity of possible forms democracy can take, we achieve a number of

    things. Firstly, we dispel the idea that democracy is a single concept with only one correct

    definition. Stemming from this, it becomes clear that there is similarly no single best goal in

    terms of what ICTs can achieve with regard to political structure. Secondly, some context is

    provided for the environment in which technology assists the swing of power; as no single

    politically-involved group can be readily placed in any one of the six categories above, it is

    worth bearing this map of democratic models in mind as the aims and methods of different

    organisations is studied.

    2.2. Issues of Adoption

    This section looks at some of the main influencing factors for the adoption, and the rate of

    adoption, of ICT. It is not meant to be an exhaustive list, but should cover sufficient reasons

    to give a broad understanding of the diversity of these reasons, and to provide evidence that

    adoption is not a simple case of technological determinism.

    Three types of issue will be looked at here, reflecting a range of levels that all influence the

    take-up of technology, and are likewise influenced by it. By deconstructing the topic into

    three levels - individual factors,social factors, andpolitical factors a distinction can be

    drawn and a path traced between large- and small-level effects. By covering all three, some

    useful context is given to each. This is not, however, intended to be a complete picture of the

    architecture of the political domain as a whole, as such an undertaking would present much

    lengthy irrelevance. Instead, this section intends to set out a basic framework for

    understanding the role of the individual in conjunction with both technology (i.e. as a user)

    and politics (i.e. as a citizen). There is much that could be said in the way of structural

    analysis (see, for example, Knoke, 1990), economic and global infrastructures, and what it

    means to be part of a state or even a culture (for example, Castells, 2004), but it is not the

    intent of this research to investigate higher-level or more abstract relationships.

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    2.2.1. Individual Factors

    The first set of issues are those which deal with the direct interaction between technology and

    the individual, or a user. In this sense, then, this is a set of 'micro' issues that can often be

    studied on a relatively local scale (e.g. within a single laboratory, in the case of usability) or at

    least on a case-by-case basis.

    The first and second issues here relate to the initial concerns over technology inequality

    covered at the start of this dissertation. The first usage factor is simple access, i.e. whether an

    individual can reach an interface by whichever means. (Thus, economic inequality is not the

    only form of lack of access. Sheer lack of hardware or software availability in a region will,

    for example, also prevent a user from accessing a technology or a service.) The second factor,

    as outlined by the UK government above, is whether a user has the confidence and skill to use

    the technology at their disposal.

    The third factor in this section is that of usability of technology. In terms of ICT, this is a

    multi-faceted topic that has been studied for as long as the technologies have had practical

    purpose. The usability of any system needs to take into account both how users operate and

    how the system they are interacting with operates, but as the tools used become more

    complex, more widely used and more central to every day life, an ever greater emphasis is

    placed on the idea that they should be easy to use. In their role as automators and assistants,

    good usability is key to greater efficiency:

    Software with good usability enables users to perform their tasks intuitively and easily. It

    supports rapid learning and high skill retention. ...Interfaces that are consistent also giveusers a sense of control

    (Preece, 2000: 110, emphasis added)

    Of course, the question here is not how technologies contribute to efficiency,per se, but

    how they relate to group participation and political decision-making. In relation to this

    context, we should note the similarity between information required to do a task, and

    information required to make a decision or to engage in debate.

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    Finally in this section, it is worth noting that while face-to-face meetings are often considered

    the closest or richest form of communication, and the benchmark against which the

    success of ICT is compared, restricted forms of interaction may not necessarily inhibit

    deliberation and the informative process either. That is to say, one should not consider a form

    of communication as lesser simply because fewer social cues are permitted.Lackof instant

    feedback (or the expectation thereof), along with other restrictive aspects, may serve to

    augment the conversation process:

    text-only CMC is extremely popular, despite obstacles such as disrupted turn adjacency

    and lack of simultaneous feedback. ... That leads Herring to claim that unique attributes of

    CMC are actually leveraged by users to intensify interactivity and extend the limits of

    traditional, spoken, conversation.

    (Kalman, Ravid, Raban and Rafaeli, 2006: 4)

    Dean goes a step further and questions the assumption of such a hierarchy with face-to-face

    communication intrinsically placed at the top:

    the idea of a face-to-face interaction needs to be understood as imaginary, as a fantasy

    that relies on its opposition to mediated interactions for it [sic] claim to be inherently

    richer. All interactions are mediated; there is no pure, immediate, fully-present, fully-

    transparent encounter.

    (Dean, 2003: 98)

    Nonetheless, it remains true that the diversity of communicative clues (such as gesturing,

    facial expressions, etc.) is rarely implemented to any great extent in a single technology (or,

    indeed, amongst a variety either). Furthermore, such comparisons with real world

    mechanisms are relatively extraneous to this research. By examining the role of technology at

    this 'micro' level, we have seen how information and interpersonal messages are filtered by

    technology as it is sent to and received by users, and how the ability of an individual to

    contribute to a discussion is governed partially (i.e. aside from personal discussion abilities)

    by the nature of said technology.

    Following from this combination of messaging and interfacing, we now look at the more

    social or group issues of technology adoption.

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    2.2.2. Social Factors

    This set of issues represent a 'macro' level, in contrast to the 'micro' level of technology and

    the individual. It is intended to be somewhat broad, and a more directed approach to the topic

    at hand will follow below. Issues at this level arise from group dynamics and the effects

    on/from the adoption of technology, either by individuals or (by extension) by organisations.

    The primary factor here looked at here is the idea of positive network externalities. In terms

    of adoption, this refers to the advantage or value received by others in a network that

    arises when an individual decides to adopt a certain technology. Economides (1996) interprets

    the idea in two ways, according to the kind of participation that the network at hand

    encourages. Firstly, he defines a 'direct' externality, whereby customers are identified with

    components in a two-way network (Economides, 1996: 679), such that an individual

    adopting a particular technology is then able to communicate or interact directly with other

    individuals with access to the same technology. The telephone network is the prime example

    of this as more people acquire a telephone each, the potential value (i.e. who a single person

    can communicate with via their own) goes up.

    Secondly, Economides defines an indirect form of externality in which communication ismore limited (Ibid). Under this definition, individuals who have access to a certain technology

    are nonetheless restricted to interacting only with that technology, and not directly with other

    users. The positive externality in this case, then, arises when the technology being adopted is

    compatible with a second one, and vice versa. This compatibility means that as demand for

    the first technology increases, so to does the demand for the second. Thus, an individual

    adopter should, in theory, be offered a greater choice as a result of greater demand for both

    technologies. A prime example of this 'indirect' externality is that of media devices. As more

    people buy DVD players, for example, thepotentialmarket for a film released in the DVD

    format increases, and so the likelihood of it being released in this way also increases. This

    results in two things a greater choice of films in that format for each individual user, and a

    correspondingly greater interest in the original technology.

    The applicability of these two ideas needs to be examined in the context of political

    participation, though. In political terms, the abundance of externalities very much depends on

    the goal of the political system, as described above, along with the implementation costs and

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    the benefit derived from implementation. In the case of competitive politics that rely upon

    publicity, for example, a compromise must be struck between the number of (extra) citizens

    reached through adopting a technology, and the resources required to implement it. If there is

    little to differentiate parties, and the goal is simply to reach as many people as possible, then it

    becomes most efficient to concentrate first on technologies with the largest user base. This

    applies to all parties following the same approach, resulting in a rush to the middle of the

    political sphere (Hotelling, 1929).

    Meanwhile, minorities can be effectively ignored unless a) smaller, more focused (i.e. more

    ideologically differentiated, and more demographically specific) parties emerge, b)

    representative organisations outside, but connected to, the political system (with more specific

    political aims) emerge in a pluralistic form, or c) the cost of reaching those minorities is low

    enough for the established competitive parties to implement it. In reality, it is reasonable to

    suggest that all three of these may occur, the extent of each influencing the extent of the

    others.

    Further, the symbolic nature of technology usage should not be ignored. The associations

    made between the adoption of technology and status and/or perceived understanding of that

    technology (Skuse, 2005) can lead to externalities arising from a more psychological basis.

    Again, this will affect certain models of democracy more than others, but is certainly

    something to be aware of.

    Finally in this section, we should also consider the negative effects that externalities can have.

    Traditionally, negative network externalities take the form of undesirable spillovers, whereby

    the actions or communications between 2 parties negatively affect a third party as a result.

    However, the generic nature of hardware, combined with the 'virtual', and hence and flexible,

    nature of software means that such spillovers are rare, and that if they do occur, it can often be

    relatively inexpensive to implement counter measures.

    The most significant negative externality we are concerned with here is that of information

    overload. This arises from the same positive network externalities looked at above, which

    generate increased usage and, as a result, an increased amount of content or number of

    messages. This effect is made more complex through the contextual nature of information, the

    multiplicity of contexts, and the relative simplicity of computing. (Cohendet and

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    Steinmueller, 2000) The cost to the user of processing these messages is non-negligible, and

    so this increase in content represents a barrierto greater productivity from using

    technology. As Jones, Ravid and Rafaeli note, the degree to which information technologies

    can effectively control or aid computer mediated communication (CMC) is limited by the

    finite capacity of human cognition. (Jones, Ravid and Rafaeli, 2001: 1) They also find

    support for the hypothesis that users are more likely to end active participation as the

    overloading of mass-interaction increases. (Jones, Ravid and Rafaeli, 2002: 10) Greater

    amounts of information, then, leads to a compromise between being able to interact with a

    large number of other people, and being able to interact in meaningful discussion.

    This effect is amplified according to the nature of the communication in less moderated,

    more public forums such as Usenet (Jones, Ravid and Rafaeli, 2002), the chance of

    information overload overwhelming users is greater. This should be remembered when taking

    moderation into account this shows that the practice may be used both for political agenda-

    setting, and for community control.

    2.2.3. Political Factors

    Having highlighted the contrast between the two extremes of the individual and society, a

    more in-depth and relevant line should now be drawn to connect the two extremes with a

    political environment. In this section, the introduction to the public sphere, above, will be

    drawn upon to investigate the possible interactions between technology and the political

    domain. Of the three of these sections, this one will be the most applicable when the results of

    the research are considered later.

    2.2.3.i. Institutional Politics

    Van Dijk (1999) offers two categories of political structuration that have divergent aims when

    it comes to implementing technology.

    The first of these regards the use of IT as being for the reinforcement of institutional

    politics (van Dijk, 1999: 85, emphasis in original). Alluding to the hollowing out of state

    politics (Rhodes, 1994), van Dijk describes this set as resisting the erosion of the nationalstate by using ICT to fortify the positions of the state (van Dijk, 1999: 85). This coincides

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    with Chandler's observation of additional powers being acquired by central government in

    the struggle to enforce greater local accountability (Chandler, 2000: 10). van Dijk places

    Legalistand Competitive democracy models within this category.

    The institutional reinforcement view, according to van Dijk (1996, 2000), supposedly

    prefers ICT that resists meaningful debate between citizens. Instead, technologies that support

    the flow of information in one direction, from government to citizen, are favoured. If citizens

    are to have a say, it is only to make enquiries in order to receive information, rather than to

    provide any political input or feedback. Under a competitive democracy, this choice also

    extends to include technologies which communicate popularity (i.e. foster support for one

    option amongst many, without necessarily any accompanying debate), while any

    resemblance to direct democracy is deceptive. (van Dijk, 2000: 41)

    This category therefore represents two important threads relating to ICT the use of

    technology to control information, and the use of technology as a delivery/production tool.

    Under the former, citizens are informed of decisions made and the current state of affairs.

    Under the latter, options are kept separate from each other as a result of the disjointed nature

    of technology.

    This is analogous to the dichotomy drawn out by the manifestation of technology considered

    as usability above or, in other words, the difference between the tooland the message.

    Similarly, as we shall see later, it relates to the distinction made between to whom

    information refers, and how it is delivered.

    The idea of competitive democracy should at this point be compared to the competitive nature

    of free markets, for while the influences between one and the other are unfortunately not

    within the scope of this research, the effects and similarities are relevant enough here to merit

    a mention. As Habermas remarks:

    The influencing of consumers borrows its connotations from the classic idea of a public of

    private people putting their reason to use and exploits its legitimations for its own ends.

    The accepted functions of the public sphere are integrated into the competition of

    organized private interests.

    (Habermas, 1989: 193)

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    The merging role of the individual as both a citizen responsible for (or to) the state, and as a

    relatively passive consumer of private enterprise goods, goes hand-in-hand with the notion of

    how the political realm should operate. The rise of large-scale production and accordingly

    large-scale demand has led to a public sphere that the mass media have transmogrified into a

    sphere of culture consumption (Habermas, 1989: 162). This, in combination with the sense

    of information overload examined before, leads to attention itself becoming a currency for

    which political parties must compete (in place of political or ethical stances). Thus, the

    overlap in channels used to deliver product information (or, indeed, products) with the

    delivery of political information has seen a fusion of the two:

    Because private enterprises evoke in their customers the idea that in their consumption

    decisions they act in their capacity as citizens, the state has to address its citizens likeconsumers. As a result, public authority too competes for publicity.

    (Habermas, 1989: 195)

    This is mirrored in Boeder's description of Rheingold's reasoning:

    The consumer society has become the accepted model both for individual behaviour and

    political decision making, Rheingold (1994) argues

    (Boeder, 2005: no page)

    This mode of provision of information to the citizen has two effects. Firstly, it leads to

    information overload as discussed above, which reinforces the necessity for mediating

    gatekeepers situated within the channels. Secondly, it makes competitive political

    organisations increasingly dependent on these channels too. This dependency leads to a

    feedback loop whereby control over the channel becomes more and more important:

    ICT may be used as a means to reinforce or reinvigorate the position of institutional

    politics in the system as a whole ... or as a means to weaken this position and to spread the

    politics into society or outside the traditional national boundaries of the political system.

    (van Dijk, 2000: 38-39)

    According to Boeder, [w]hat dies in this process is the rational discourse at the base of civil

    society (2005, no page).

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    2.2.3.ii. Socialization of Politics

    The second category is a fight for asocialization of politics (van Dijk, 1999: 86, emphasis

    in original), pertaining to a more prominent role for social organizations and individual

    citizens in particular (Ibid). Of the six democratic models outlined above, this category

    includesplebiscitary democracy,pluralist democracy,participatory democracy and the

    libertarian view. These models differ in terms of the level of representation afforded to

    individual citizens and the level at which decisions should be made at, but all of them

    represent a relative a wider dissemination of the political process than is otherwise present in

    the institutionalised approach.

    The political socialization view is united in an aim to get the views of citizens heard more,e.g. through telepolls, discussion lists, et aland to integrate political decisions more closely

    with the opinions and ideas put forward by these citizens. The varying democratic models

    gathered under this heading differ in terms ofwhere this voice is directed (along a

    'representative versus direct democracy' dimension), leading to significant differences in the

    overall structure of the political sphere.

    In contrast to the first category, in which institutional politics is reinforced, a move away from

    the top-down, broadcast style techniques of competitive democracy is advocated. It could be

    speculated that this shift represents a force to counter a prevailing perception of the first

    category in modern politics, although it must be stressed that this pure conjecture.

    Nonetheless, the split between this category and the previous is symbolic of the dual nature of

    the flexible networks around us, and of the possible opportunities offered by technology

    versus the shaping of technology to meet existing paradigms. Whether or not this split is

    readily observable, and whether claims of a general increase in individual freedom to gain

    information (McQuail, 1987: 42) will be investigated in the research section.

    2.3. Defining Interactivity

    Interactivity is a term with many meanings and many connotations, often depending on the

    context in which the term is used. At its most basic level, interaction refers to the ability for

    parties involved in communication to act upon each other that is, to mutually influence

    each other's behaviour. It can refer to the interdependency and influence between two people

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    who mutually adapt their behaviour and actions to each other (Jensen, 1998: 188, cited in

    Downes and McMillan, 2000: 158). Alternatively it can refer to the input to and output from

    an electronic device that link the device with its user. In whichever sense it is looked at, it is

    clear that it is key to a wide range of issues, including such diverse issues as performance

    quality, motivation, sense of fun, cognition, learning, openness, frankness and sociability

    (Rafaeli and Sudweeks, 1997: no page).

    In the context of this research, however, we can think of the device - the tool of

    communication as less of an endpoint, and more as a mediatoror a medium. ICT provides a

    mechanism by which an individual may communicate with further otherwise-separated

    individuals. In this sense, then, interactivity refers to both the way in which a user interacts

    with the technology at hand, and to the level and quality of communication that can take place

    between these individuals. As one of Downes and McMillan's interviewees notes, the

    computer-mediated environment allows for 'three-party interactivity' involving two people

    and a computer. (Downs and McMillan, 2000: 163)

    The following section describes, in turn, ideas from a number of researchers on how

    interactivity can be conceptualised and assessed. The aim here is to assemble a sufficiently

    diverse range of measures in order to allow firstly some comparison between them, and

    secondly some distillation into a core set of measures that are relevant to the research.

    2.3.1. Measures of Interactivity

    2.3.1.i. McQuail

    McQuail (1987: 40-42) draws on the scheme proposed by Bordewijk and van Kaam (1986),

    which attempts to provide a mechanism to locate patterns of information traffic, and plot how

    they change as networks develop. These patterns are concerned with who has information,

    and how it is controlled, producing a two-dimensional framework with the following pair of

    axes:

    1. Information Store, or where the relevant information is initially sourced from. At one

    extreme, this may be centralised and be stored at (or originate from) a single source.Alternatively, this may be highly decentralised, with the information of interest being held

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    by (or originating from) a large multitude of individuals within the network. In other

    words, this dimension measures the spatial location of information. (It should be noted

    that a specific instance of a network system is rarely concerned with allinformation

    available to the actors within it. Hence the use of the term relevant information in this

    case.)

    2. Control over choice and time of subject, or who has power to choose which

    information is made available from the store detailed above, and when. Generally

    speaking, the constant-access, always-on nature of service technology, particularly when

    based on top of static content or that stored in a database, means that such control over

    timing is becoming less of an issue as more information is digitalised. However, it is still

    relevant when considering access to information during, say, working hours or at press

    conferences.

    McQuail then plots these two dimensions against each other to produce a quartered table of

    possible information patterns, as illustrated below. The definition of each of the four

    crossover points is given following this.

    Table 3.McQuail's dimensions of interactivity (Source: McQuail, 1987: 41)

    Allocution

    This encapsulates address and broadcasting - information comes from a single

    source, and is disseminated outwards under terms and conditions that satisfy the sender, not

    the receiver. A non-technological example would be the Prime Minister's Question Time in

    the UK, to which all newspapers must send someone at the appointed time.

    Consultation

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    Information Store

    Central Individual

    ALLOCUTION REGISTRATION

    CONSULTATION CONVERSATION

    Control of time & choice of

    subject: Central

    Control of time & choice of

    subject: Individual

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    The meaning of consultation here should not be confused with the inverse definition

    often given to it. Here, the term refers to the ability of an individual to consult some place or

    service for information (such as one might consult a watch to find out the time), as opposed

    to an authority consulting citizens for views. Here, McQuail cites newspapers as an example

    as, in their primary role (i.e. the main news stories carried), content differs little from one

    newspaper to the next, and is often simply re-interpreted from a single news source.

    Newspaper readers, however, can choose when and where they read the content. In this sense,

    webpages carrying static content (i.e. content that does not change rapidly) can be considered

    a consultative technology.

    Registration

    Here, information is derived from record-keeping, control and surveillance

    (McQuail, 1987: 41), although the supervised gathering of opinion such as with voting

    systems, on-line polls, etc. - have extended the definition into a networked era. Under this

    category, information originates from a decentralised set of sources (users, in this context),

    but its transmission is controlled by a single actor (such as a website). Tracking techniques

    such as the use of cookies in web browsers also fall under this category. (McMillan, 2002:

    273)

    Conversation

    This entails a high level of decentralised information storage (that is, originating from

    many sources), with similarly decentralised control over access in that those who hold the

    information can choose when and where they wish to make it available. Thus, in this context,

    it is the users that are responsible for selecting and filtering the information they wish to

    publish - whether it be information about themselves (in, say, a social network), personal

    opinion, or more factual knowledge.

    Table 4.McQuail's measures of interactivity

    Centralisation/Decentralisation of information sources

    Centralisation/Decentralisation of control over information access

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    2.3.1.ii. Rafaeli

    Rafaeli (1988) defined interactivity in terms of the level and depth of response that is

    permitted or exploited between two parties. He proposed three forms of two-way

    communication, distinguished according to how historically referential a single message

    could be.

    The first level is that of basic 2-way (non-interactive) communication. At this stage,

    messages may be passed between the two parties, but messages themselves do not refer to

    previous messages, and are effectively stateless or contextless.

    In the second level, quasi-interactivity is achieved through reactive 2-way communication.Under this level, a message passed between the two parties may be a response to the

    previous message that is, have a limited context of the immediately previous message.

    The third and highest level is of full interactivity. In this, messages may not only refer to

    their predecessor, but also messages referred to by that predecessor such that a recursive

    relationship is set up through the chain of messages. By expanding the referential timeline

    available at each transmission, a deeper sense of interactivity is permitted.

    It should be noted that the three of these levels each supersede the previous, whereby the

    second level may include the first (but not vice versa), and the third may include both the first

    and second.

    Table 5.Rafaeli's measures of interactivity

    Non-interactive/Quasi-interactive/Fully interactive

    2.3.1.iii. Manca

    Manca (1989) offers a similar model, but one that is more concerned with a mass media

    communication perspective (i.e. that of broadcast/broadsheet dissemination, with limited

    opportunity for "upstream" communication). This incorporates the concept of "media

    gatekeepers" (e.g. newspaper editors) that act as moderators and/or barriers to the "masses"

    gaining access to these platforms. This inserts an additional link into the otherwise dual-party

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    chain (i.e. 'sender-receiver' becomes 'sender-moderator-receiver') which may act as both

    facilitators (by providing the receiver with access to data and messages that would not

    otherwise be available ... and the sender with access to the means to reach the receiver

    (Manca, 1989: 166)) and moderators (who decide which items are placed on the public

    agenda and the degree of importance and urgency for each of these items (Manca, 1989:

    169)). As Manca was referring originally to the realm of journalism in a state preceding the

    rise of the network society, his description of gatekeepers is perhaps more formal and

    structured than necessary when applied to this research, with editors being primarily

    associated with the role. However, he does note that such definitions represent roles rather

    than individual persons (Manca, 1989: 166), and as such, we should consider these roles

    when determining interactivity in modern technologies.

    Manca also offers a distinction between "information" and "feedback", with the latter

    differing in the sense that it "should not be confused with the switching of roles on the part of

    sender and receiver." (Manca, 1989:167) Recognising that feedback is an important step, and

    (technologically) one that involves meaningful data (which, under other definitions, is eligible

    to be counted as "information", we should attempt to integrate it with Rafaeli's model of

    interactivity in order to be aware of it, and so be able to assess it to some extent. This will be

    examined in further detail below.

    Table 6.Manca's measures of interactivity

    Presence of gatekeepers

    Levels of feedback

    2.3.1.iv. McMillan

    Indeed, the idea of feedback is incorporated into McMillan'sfour-part model of cyber-

    interactivity (McMillan, 2002). In this model, McMillan constructs a table of four categories

    by cross-tabulating two dimensions (Level of receivercontrol andDirection of

    communication) of two conceptual extremes each. Figure 1 shows this model, how feedback

    fits in, and the three remaining categories:

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    Figure 1.McMillan's four-part model of cyber-interactivity (Source: McMillan, 2002: 276)

    We can see from this that there are some similarities with a number of axes suggested above.

    For example, the existence of a monologue and mutual discourse coincides with the ideas

    of allocation and conversation outlined by McQuail. Accordingly, we can note that the

    first axis Level of receiver control clearly bears a resemblance to McQuail's

    Centralisation of control over communication axis, while theDirection of communication

    axis may be seen to be the same dimension as Centralisation of information storage. Finally,

    we can compare the existence of a feedback category in McMillan's model to Manca's use

    of the concept too. How these similarities are resolved will be expanded upon below.

    Table 7.McMillan's measures of interactivity

    Level of receiver control

    Direction of Communication

    2.3.1.v. van Dijk

    van Dijk (2000) proposes a further 4 "levels" of interactivity, based on Williams et al (1988).

    These levels attempt to integrate and bridge the gap between "(objective) medium

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    characteristics" - or technological attributes, in this context and "(intersubjective) contextual

    applications" - or less technological and more "interpersonal" attributes. He lists these levels

    as:

    1. Whether 2-way communication actually exists, first and foremost. This matches

    McMillan's second dimension above, although McMillan continues to classify

    communication even in the presence of one-way transfer only.

    2. The synchronicity of the communication. This is a technological property, a measure

    of how soon after one message the next can be sent - "the time dimension of interactivity".

    On this attribute, though, van Dijk assumes that the more instantaneous the response, the

    more interactive the technology is. However as we have seen, this may not necessarily

    reflect the usability of the technology, or may even enhance it in certain cases.

    3. How much control over communication there is present - that is, how much can a

    receiver swap roles and become a sender? To integrate this with the model presented by

    Manca in which a third party - a gatekeeper - is also present, one can extend this idea such

    that this includes a measurement of how much any party can swap roles with either of the

    other 2 parties. Naturally, there may be less incentive, for purposes of stability, etc and

    due to the pre-determined "regulatory" power of the gatekeeper/moderator, to permit

    either sender or receiver to swap into the gatekeeper role. However, certain technologies

    or applications thereof may make this more explicit than others wikis, for example,

    that allow any reader to make changes to the text, and thus in which users may act equally

    in all 3 roles as they wish.

    4. The intelligence of contexts and shared understanding, which van Dijk describes

    merely as the contextual and mental dimension (van Dijk, 2000: 47). As technology

    actively decouples the information being transmitted from the semantic context (reducing

    the amount of tacit information made available to either party see Cowan, David and

    Foray, 2000), van Dijk claims that this level has yet to be reached outside face-to-face

    communication. Note, though, that this is at odds with Dean's claim that all

    communication is interpreted in some way, and therefore such a distinction is harder to

    make.

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    We can note now that van Dijk describes these layers as "cumulative" rather than hierarchical.

    It is clear that there is some dependency - for example, there must be a presence of 2-way

    communication of roles are reversible. However, on the other hand synchronicity - the time

    delay between messages - does not necessarily depend on a 2-way connection.

    Table 8.van Dijk's measures of interactivity

    Presence of 2-way communication

    Synchronicity, i.e. delay between responses

    Control over roles (sender, receiver, gatekeeper) within communication

    Extent to which a shared context is possible

    2.3.2. Collecting and integrating axes

    In total then, this gives us the following list of axes which measure technology - or rather,

    social elements of the implementation of technology (as opposed to purely technical

    properties such as efficiency):

    Table 9.Summary of measures of interactivity

    Measure of Interactivity References

    Centralisation/Decentralisation of information

    sources

    McQuail/Bordewijk & van Kaam

    Centralisation/Decentralisation of control over

    information access

    McQuail/Bordewijk & van Kaam

    Non-interactive/Quasi-interactive/Fully interactive Rafaeli

    Presence of gatekeepers Manca

    Levels of feedback Manca

    Level of receiver control McMillan

    Direction of Communication McMillan

    Presence of 2-way communication Van Dijk

    Synchronicity, i.e. delay between responses Van Dijk

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    Control over roles (sender, receiver, gatekeeper)

    within communication

    Van Dijk

    Extent to which a shared context is possible Van Dijk

    As these dimensions have been adapted and assembled from slightly different fields (political

    interactivity, mass communication, etc.), there is naturally some overlap and some irrelevance

    when applied to our current context. For instance, it is clear that in a system that prescribes a

    centralised control over information access, control over who is a sender and who is a receiver

    is also affected as a result.

    We can therefore narrow this list down by considering it from a number of perspectives.

    Firstly, which properties can we assume as being either present or non-present, as a result of

    the scope of the research?

    Firstly, we can omit the binary measurement of whether 2-way communication exists or not,

    as this is incorporated in other more extensive dimensions such as interactivity level, control

    over roles, and centralisation/decentralisation measures.

    The presence of gatekeepers is difficult to determine when the scope of the investigation is at

    a purely technological level often, moderation or facilitation decisions are made

    independently of the technology being used, even at the level of the sender determining which

    messages to communicate before interfacing with an ICT. As it is difficult to therefore

    determine this presence in a generic sense, this aspect will be encapsulated in the choice of

    technologies, below. By considering the possibility for moderation on a per-technology basis,

    a finer granularity of analysis should be able to be reached. That is, moderated technologies

    will be gauged separately to their unmoderated counterparts, rather than attempting to

    measure actualimplementations of moderation (as examined per-site) in the same breath as

    potentialimplementations (as would be examined per-technology).

    As noted above, there is clearly some overlap between Manca's description of feedback and

    the idea of feedback in McMillan's four-part model. As McMillan's model explains Manca's

    differentiation between feedback and information through a dual-axis context, there is

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    little need to investigate the matter under both of the conceptual measures. Furthermore, the

    resemblance of McMillan's chosen axes to those set out by McQuail (and hence the similarity

    of McMillan's monologue to McQuail's allocution) highlights further redundancy. As a

    result, we will restrict the research to using McQuail's two dimensions with the understanding

    that this reflects a very close line of reasoning to both McQuail's and Manca's approaches.

    However, in doing so, the idea of feedback is omitted. Following McMillan's contextual

    approach to feedback as one category of interactivity with particular attributes (one-way

    communication with a high level of receiver control), we can attempt to locate the concept

    along Rafaeli's progression of interactivity in order to integrate feedback into the model used

    here.

    As Manca defines it, feedback is information regarding the receiver's use of the technology,

    rather than information pertaining to the discussion being carried out via the technology

    (Manca, 1989: 167). Thus, it is to be differentiated from Rafaeli's idea of "full interactivity" in

    that it relates to the efficiency of the system itself, rather than the debate. In McMillan's

    model, this split occurs at the border between feedback and responsive dialogue. In this

    sense, feedback is aform of interactivity, but it allows for less conversation (and hence less

    participation) than even a mildly responsive, yet nonetheless two-way dialogue as described

    by McMillan's responsive dialogue and Rafaeli's quasi-interactivity. Taking this into

    account, we can accordingly introduce the idea of feedback as a fourth category in Rafaeli's

    taxonomy, such that it occurs between the first level of basic 2-way communication and the

    second level of quasi-interactive 2-way communication. Note that, as McMillan defines it,

    feedback conceived of as a one-way mechanism seems to 'disrupt' the assumption of 2-way

    communication laid out by Rafaeli. It is here considered then that feedbackmustrefer to some

    prior communication, thereby defining feedback as a responsive form of communication,