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Benjamin Lee
Institute for social change
benjamin.lee@postgrad.manchester.ac.uk
INTRODUCTION

 My thesis: Is a study of the adoption,
  implementation and organisational
  implications of Web usage at the local level
  in the 2010 UK general election
 This presentation: Focuses on the first two
  chapters of my thesis dealing with the
  adoption of web campaign tools and how
  they are used
THEORETICAL BACKGROUND – PROBLEMS
   Political parties
     Declining membership (Katz & Mair, Mass & Bizen)
     Catch All/Electoral Professional parties (Kircheimer,
      Panebianco)
     The end of linkage?

   Campaigns
     The arrival of political marketing
     Professionalization and modernisation (Green &
      Smith, Gibson & Rommele, Norris)
   Why get involved?
THEORETICAL BACKGROUND - SOLUTIONS

 Can technology offer a solution?
 Internet and Democracy: Rheingold,
  Negroponte, Toffler, Castells
 Party organisational change
     The Cyber-party (Margetts)
     The Network Party (Heidar & Saglie)

     Organisational hybridity (Chadwick)

   What about campaigns?
CAMPAIGNS IN THE WEB 2.0 ERA
 We are living in a post-Obama environment,
  2008 a perceived watershed
 Emergence of Web 2.0
     Highly interactive, based on the ‘architecture of
      participation’
     In the UK 2010 campaign most often represented by
      Facebook and Twitter
     Easy/free to use

   So are we moving towards more connected
    campaigns in the UK?
RESEARCH QUESTIONS

   Three things we need to know about the use
    of Web 2.0
    1.   Are campaigns using it? TOOLS
    2.   If so how are they using it? BEHAVIOUR
    3.   What kind of campaign organisation is it
         supporting? ORGANISATION
   Today I am focussing on questions one and
    two
ANALYTICAL FRAMEWORK

 Campaigns unlikely to be uniform, need a
  framework to distinguish between them
 Need a socially determined reason to adopt
  online campaign techniques, reject a purely
  technologically determinist stand point
 Adopted Fisher and Denver (2009) indices,
  sees campaigns as being traditional and
  modernised to various degrees
TRADITIONAL AND MODERN CAMPAIGNS
   A heuristic device
   Traditional campaigns
       Emphasise techniques such as doorstep canvas and distribution of
        leaflets
       Rely on building local networks of supporters, face-to-face or retail
        politics
       Do not have access to political marketing tools, likely to be low
        priority receive little scrutiny
   Modernised campaigns
       Emphasise techniques such as direct mail and telephone canvassing
       Rely on marketing techniques to deliver votes
       With access to money and advanced techniques comes greater
        scrutiny
   NOT mutually exclusive
HYPOTHESES
 H1 traditional campaigns are likely to make
  more use of social media and be more
  interactive
 H2 modernised campaigns are likely to make
  less use of social media and be less
  interactive
 H3 combined campaigns are likely to make
  less use of social media and be less
  interactive
 H4 low activity campaigns are less likely to
  make use of web campaign techniques
ALTERNATE EXPLANATIONS
   Party affiliation
     Different
             parties have different propensity to
      campaign online
   Campaign status
     Incumbent   candidates, marginal candidates
   The digital divide in constituencies
     Some   constituencies less likely to be online
   The digital divide in candidates
     Some   candidates less likely to be online
WEB CAMPAIGN TOOLS
 Want to know the extent to which campaigns
  adopted online tools
 Data comes from 2010 Electoral Agent Survey
 1079 cases across England, Scotland and
  Wales
 Established survey, basis for original measures
  of traditional and modern, although these could
  not be replicated
 Good for measures of campaigning, but less so
  for candidate specific measures
WEB CAMPAIGN TOOLS


              No Web (%)   Conventional (%)   Social (%)   Hybrid (%)   Total (%)
Low Act.      64 (22.3)    107 (37.3)         24 (8.4)     92 (32)      287 (100)
Traditional   27 (12)      83 (36.7)          10 (4.4)     106 (46.9)   226 (100)
Modern        20 (10.2)    56 (28.4)          7 (3.6)      114 (57.9)   197 (100)
Combined      10 (4)       68 (27.3)          9 (3.6)      162 (65.1)   249 (100)
Total         121 (12.6)   314 (32.7)         50 (5.2)     474 (49.4)   959 (100)
WEB CAMPAIGN TOOLS
                    Coef.     Std. Err. P    [95% Conf.
                                             Interval]
Conventional only
Traditional index   0.015*** 0.003     0.000 0.008       0.022
Modernised index    0.013*** 0.004     0.001 0.005       0.021
Constant            -1.594    0.493    0.001 -2.561 -0.627
Social only
Traditional index   0.012**   0.005    0.019 0.002       0.022
Modernised index    0.009     0.006    0.128 -0.003 0.021
Constant            -2.799    0.758    0.000 -4.286 -1.313
Hybrid
Traditional index   0.022*** 0.003     0.000 0.015       0.029
Modernised index    0.026*** 0.004     0.000 0.018       0.034
Constant            -3.145    0.495    0.000 -4.115 -2.176       Reference category: No Web
                                                                 Pseudo R2 0.0521
                                                                 Log likelihood -1026.3932
                                                                 * p<.1 **p<.05 ***p<.01
WEB CAMPAIGN TOOLS
   Conventional
       Traditional and modern indices remain significant
       All parties less likely to engage in conventional campaigns than
        Conservatives
       % pop no qualifications negative effect
   Social (small n)
       Traditional campaign index positive effect
   Hybrid
       Both traditional and modern indices positive effects
       Nationalists less likely to engage in hybrid only campaigns than Con,
        others no effect
       % pop no qualifications negative effect
       Younger and female candidates also more likely to adopt hybrid
        (CCS model)
WEB CAMPAIGN BEHAVIOURS
 So it seems like that the kind of campaign
  activity engaged in has little impact on the kind
  of online campaign tools adopted
 But what about the adoption of online campaign
  behaviours?
 Data comes from content analysis of campaign
  websites in the NW of England during 2010
  campaign
 Addresses three kinds of interactive behaviours
  public dialogue, potential dialogue and site-
  based interactivity
CONTENT ANALYSIS SCHEMA
PUBLIC DIALOGUE BEHAVIOURS
POTENTIAL DIALOGUE BEHAVIOURS
SITE-BASED INTERACTIVITY BEHAVIOURS
WEB CAMPAIGN BEHAVIOURS

   But
     Noteasy to analyse these measures individually
     Lack of variation in the sample

   To get around this I created an aggregate
    measure of interactivity
     Basedon regression scores from Principal
      Components Analysis
WEB CAMPAIGN BEHAVIOURS



  Variable            B (S.E.)        Standardised B
  Traditional Index   .216 (.108)**   .204
  Modernised Index    .127 (.095)     .137
  Constant            65.923 (14.776)

                                   * p<.1 **p<.05 ***p<.01
WEB CAMPAIGN BEHAVIOURS

   BUT
     When   other contextual variables are added in
      the significance of this disappears
     Only significant result in the wider model
      concerns incumbent candidates (much less
      interactive) except where they are in marginal
      seats (more interactive)
   Different approach to analysis and
    incorporate candidate level data
INTERVIEW DATA
   Good reason to think that interactivity isn’t driven by
    the external factors represented here
   Anecdotal evidence shows candidates often struggle
    to justify why they went online
   Online campaigns often seem driven by
    circumstantial factors e.g. an affinity for tech
       ‘I don’t like technology for technologies sake, but I do like
        what it can do and I enjoy working with technology, just
        because it’s a fun way of communicating with people.’
            Candidate for campaign E, traditional/hybrid/interactive
   Surveys do not cover this level of detail
CONCLUSIONS – WEB CAMPAIGN TOOLS
   Are campaigns using Web 2.0?
     Yes, very much so
     50% of campaigns report using both social media
      and conventional websites
     Use is driven equally by traditional and modern
      campaign techniques – intensity
     Use also driven by age, gender, party affiliation and
      incumbency
   However – large amounts of variation remain
    unexplained
CONCLUSIONS – WEB CAMPAIGN BEHAVIOURS

   How are Web 2.0 tools being used?
     Public dialogue very rare
     Admittedly a high threshold for interactivity
     Potential dialogue far more common but harder to
      measure
     Site-based interactivity also common, campaigns
      able to bring a level of sophistication to sites beyond
      brochure-ware
     Haven’t been able to analyse the drivers yet but
      interview data suggests that these may be
      attitudinal/difficult to measure
HYPOTHESES
   H1 traditional campaigns are likely to make more use
    of social media and be more interactive NOT
    SUPPORTED

   H2 modernised campaigns are likely to make less
    use of social media and be less interactive NOT
    SUPPORTED

   H3 combined campaigns are likely to make less use
    of social media and be less interactive NOT
    SUPPORTED

   H4 low activity campaigns are less likely to make use
    of web campaign techniques over all SUPPORTED
NEXT STEPS - ORGANISATION
 Final question remains, what kind of
  campaign organisation is Web 2.0
  supporting?
 Networked party models v Managed citizens
 Framing analysis based on CCS data e.g.
  attitudes towards democracy or party
  organisation and adoption of Web 2.0 tools
 Largely going to be based on interview data
 Already uncovered some interesting case
  studies
THE END

 Any questions?
 Feedback welcome

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Brown Bag Presentation 9-11-11

  • 1. Benjamin Lee Institute for social change benjamin.lee@postgrad.manchester.ac.uk
  • 2. INTRODUCTION  My thesis: Is a study of the adoption, implementation and organisational implications of Web usage at the local level in the 2010 UK general election  This presentation: Focuses on the first two chapters of my thesis dealing with the adoption of web campaign tools and how they are used
  • 3. THEORETICAL BACKGROUND – PROBLEMS  Political parties  Declining membership (Katz & Mair, Mass & Bizen)  Catch All/Electoral Professional parties (Kircheimer, Panebianco)  The end of linkage?  Campaigns  The arrival of political marketing  Professionalization and modernisation (Green & Smith, Gibson & Rommele, Norris)  Why get involved?
  • 4. THEORETICAL BACKGROUND - SOLUTIONS  Can technology offer a solution?  Internet and Democracy: Rheingold, Negroponte, Toffler, Castells  Party organisational change  The Cyber-party (Margetts)  The Network Party (Heidar & Saglie)  Organisational hybridity (Chadwick)  What about campaigns?
  • 5. CAMPAIGNS IN THE WEB 2.0 ERA  We are living in a post-Obama environment, 2008 a perceived watershed  Emergence of Web 2.0  Highly interactive, based on the ‘architecture of participation’  In the UK 2010 campaign most often represented by Facebook and Twitter  Easy/free to use  So are we moving towards more connected campaigns in the UK?
  • 6. RESEARCH QUESTIONS  Three things we need to know about the use of Web 2.0 1. Are campaigns using it? TOOLS 2. If so how are they using it? BEHAVIOUR 3. What kind of campaign organisation is it supporting? ORGANISATION  Today I am focussing on questions one and two
  • 7. ANALYTICAL FRAMEWORK  Campaigns unlikely to be uniform, need a framework to distinguish between them  Need a socially determined reason to adopt online campaign techniques, reject a purely technologically determinist stand point  Adopted Fisher and Denver (2009) indices, sees campaigns as being traditional and modernised to various degrees
  • 8. TRADITIONAL AND MODERN CAMPAIGNS  A heuristic device  Traditional campaigns  Emphasise techniques such as doorstep canvas and distribution of leaflets  Rely on building local networks of supporters, face-to-face or retail politics  Do not have access to political marketing tools, likely to be low priority receive little scrutiny  Modernised campaigns  Emphasise techniques such as direct mail and telephone canvassing  Rely on marketing techniques to deliver votes  With access to money and advanced techniques comes greater scrutiny  NOT mutually exclusive
  • 9. HYPOTHESES  H1 traditional campaigns are likely to make more use of social media and be more interactive  H2 modernised campaigns are likely to make less use of social media and be less interactive  H3 combined campaigns are likely to make less use of social media and be less interactive  H4 low activity campaigns are less likely to make use of web campaign techniques
  • 10. ALTERNATE EXPLANATIONS  Party affiliation  Different parties have different propensity to campaign online  Campaign status  Incumbent candidates, marginal candidates  The digital divide in constituencies  Some constituencies less likely to be online  The digital divide in candidates  Some candidates less likely to be online
  • 11. WEB CAMPAIGN TOOLS  Want to know the extent to which campaigns adopted online tools  Data comes from 2010 Electoral Agent Survey  1079 cases across England, Scotland and Wales  Established survey, basis for original measures of traditional and modern, although these could not be replicated  Good for measures of campaigning, but less so for candidate specific measures
  • 12. WEB CAMPAIGN TOOLS No Web (%) Conventional (%) Social (%) Hybrid (%) Total (%) Low Act. 64 (22.3) 107 (37.3) 24 (8.4) 92 (32) 287 (100) Traditional 27 (12) 83 (36.7) 10 (4.4) 106 (46.9) 226 (100) Modern 20 (10.2) 56 (28.4) 7 (3.6) 114 (57.9) 197 (100) Combined 10 (4) 68 (27.3) 9 (3.6) 162 (65.1) 249 (100) Total 121 (12.6) 314 (32.7) 50 (5.2) 474 (49.4) 959 (100)
  • 13. WEB CAMPAIGN TOOLS Coef. Std. Err. P [95% Conf. Interval] Conventional only Traditional index 0.015*** 0.003 0.000 0.008 0.022 Modernised index 0.013*** 0.004 0.001 0.005 0.021 Constant -1.594 0.493 0.001 -2.561 -0.627 Social only Traditional index 0.012** 0.005 0.019 0.002 0.022 Modernised index 0.009 0.006 0.128 -0.003 0.021 Constant -2.799 0.758 0.000 -4.286 -1.313 Hybrid Traditional index 0.022*** 0.003 0.000 0.015 0.029 Modernised index 0.026*** 0.004 0.000 0.018 0.034 Constant -3.145 0.495 0.000 -4.115 -2.176 Reference category: No Web Pseudo R2 0.0521 Log likelihood -1026.3932 * p<.1 **p<.05 ***p<.01
  • 14. WEB CAMPAIGN TOOLS  Conventional  Traditional and modern indices remain significant  All parties less likely to engage in conventional campaigns than Conservatives  % pop no qualifications negative effect  Social (small n)  Traditional campaign index positive effect  Hybrid  Both traditional and modern indices positive effects  Nationalists less likely to engage in hybrid only campaigns than Con, others no effect  % pop no qualifications negative effect  Younger and female candidates also more likely to adopt hybrid (CCS model)
  • 15. WEB CAMPAIGN BEHAVIOURS  So it seems like that the kind of campaign activity engaged in has little impact on the kind of online campaign tools adopted  But what about the adoption of online campaign behaviours?  Data comes from content analysis of campaign websites in the NW of England during 2010 campaign  Addresses three kinds of interactive behaviours public dialogue, potential dialogue and site- based interactivity
  • 20. WEB CAMPAIGN BEHAVIOURS  But  Noteasy to analyse these measures individually  Lack of variation in the sample  To get around this I created an aggregate measure of interactivity  Basedon regression scores from Principal Components Analysis
  • 21. WEB CAMPAIGN BEHAVIOURS Variable B (S.E.) Standardised B Traditional Index .216 (.108)** .204 Modernised Index .127 (.095) .137 Constant 65.923 (14.776) * p<.1 **p<.05 ***p<.01
  • 22. WEB CAMPAIGN BEHAVIOURS  BUT  When other contextual variables are added in the significance of this disappears  Only significant result in the wider model concerns incumbent candidates (much less interactive) except where they are in marginal seats (more interactive)  Different approach to analysis and incorporate candidate level data
  • 23. INTERVIEW DATA  Good reason to think that interactivity isn’t driven by the external factors represented here  Anecdotal evidence shows candidates often struggle to justify why they went online  Online campaigns often seem driven by circumstantial factors e.g. an affinity for tech  ‘I don’t like technology for technologies sake, but I do like what it can do and I enjoy working with technology, just because it’s a fun way of communicating with people.’  Candidate for campaign E, traditional/hybrid/interactive  Surveys do not cover this level of detail
  • 24. CONCLUSIONS – WEB CAMPAIGN TOOLS  Are campaigns using Web 2.0?  Yes, very much so  50% of campaigns report using both social media and conventional websites  Use is driven equally by traditional and modern campaign techniques – intensity  Use also driven by age, gender, party affiliation and incumbency  However – large amounts of variation remain unexplained
  • 25. CONCLUSIONS – WEB CAMPAIGN BEHAVIOURS  How are Web 2.0 tools being used?  Public dialogue very rare  Admittedly a high threshold for interactivity  Potential dialogue far more common but harder to measure  Site-based interactivity also common, campaigns able to bring a level of sophistication to sites beyond brochure-ware  Haven’t been able to analyse the drivers yet but interview data suggests that these may be attitudinal/difficult to measure
  • 26. HYPOTHESES  H1 traditional campaigns are likely to make more use of social media and be more interactive NOT SUPPORTED  H2 modernised campaigns are likely to make less use of social media and be less interactive NOT SUPPORTED  H3 combined campaigns are likely to make less use of social media and be less interactive NOT SUPPORTED  H4 low activity campaigns are less likely to make use of web campaign techniques over all SUPPORTED
  • 27. NEXT STEPS - ORGANISATION  Final question remains, what kind of campaign organisation is Web 2.0 supporting?  Networked party models v Managed citizens  Framing analysis based on CCS data e.g. attitudes towards democracy or party organisation and adoption of Web 2.0 tools  Largely going to be based on interview data  Already uncovered some interesting case studies
  • 28. THE END  Any questions?  Feedback welcome

Editor's Notes

  1. 55% campaigns use web 2.0