Impact of the Internet on Society eSociety

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Impact of the Internet on Societye-Society
Emma-Jane Cooper-Green Integration and
Harmonisation Division Office for National
Statistics emma-jane.cooper-green_at_ons.gov.uk
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Uptake of the Internet
Source General Household Survey and Family
Expenditure Survey
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Latest Headline Figures
Over the period January to March 2002 10.7
million households (42) in the UK could access
the Internet from home
55 of adults in Great Britain have accessed the
Internet at some time
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Home access to the Internet by gross income
decile group (UK)
Source Expenditure and Food Survey
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Adults who have accessed the Internet by age and
sex (GB)
Source National Statistics Omnibus Survey
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Adults who have accessed the Internet by purpose
of Internet use (GB) (personal use only)
Activities April 2002

Per cent Finding information
about goods / services 76 Using
e-mail 76 General browsing or
surfing 61 Finding information related to
education 38 Buying or ordering tickets / goods
/ services 38 Reading or downloading on-line
news 28
Source National Statistics Omnibus Survey
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What people purchase on the Internet - April 2002
(GB)
Flights holiday accommodation 35 Books or
magazines 24 Tickets for events 23 Music/CDS 20
Source National Statistics Omnibus Survey
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Barriers to using the Internet (GB)
Barriers April 2002

Per cent
Source National Statistics Omnibus Survey
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too complicated - I can only just work the
video delighted to leave it all behind and
have a simple life its rubbish!
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Internet Security (GB)
25 had security concerns although.
...4 had experienced any
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Potential areas for further research

• Retail
• Services
• Exclusion
• Leisure
• Labour Market

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Work continues..

• Data collections
• Reviewing questions
• Cross-cutting Programme
• International comparisons

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Impact of the Internet on Societye-Society
Emma-Jane Cooper-Green Integration and
Harmonisation Division Office for National
Statistics emma-jane.cooper-green_at_ons.gov.uk
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Statistics based on data from Internet Service
ProvidersBy Geir Martin PilskogStatistics
Norwaygmp_at_ssb.no
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The Internet survey

• Published first time in June 2002
• Data collection from Internet Service Providers
• Quarterly publication
• Regional information
• Quality of infrastructure
• Number of subscriptions

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Value

• The regional dimension of the digital divide
• Fast information about changes
• Supplement to sample surveys about ICT usage

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Plans

• More detailed regional level
• Describe Internet usage
• Distinction between active and passive
  subscriptions
• Time connected to the Internet
• Volume of data downloaded
• Information about Internet Service Providers
• Gross income from sales of Internet accesses

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Challenges

• Lack register of Internet Service Providers
• Constant control of population
• Response burden
• Initial need of programming
• Dissemination
• Clarity in use of concepts and definitions
  important

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Publication

• Totally 2,6 million Internet subscriptions
• Norwegian population 4,5 million
• 80 000 broadband connections
• Broadband defined as transmission capacity larger
  than 384 Kbit per second
• More information available at http//www.ssb.no/in
  et_en/

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Electronic data collection in Statistics Norway

• Hans Viggo Sæbø, Rune Gløersen and Dagfinn Sve,
• Statistics Norway

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Electronic data collection and strategy

• User needs are the starting point for defining
  quality and strategy
• Electronic data collection and exchange affects
• Response burden (reduced costs for society)
• Efficiency (reduced costs for Statistics Norway)
• Quality, in particular timeliness but other
  quality aspects such as accuracy

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Data flow andstrategy of NSI
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Main data collection developments in Statistics
Norway

• KOSTRA Municipalities ? Central authorities
• Enhance quality by coordination
• Reduce costs
• All municipalities report electronically from
  this year
• IDUN Information and data exchange with
  businesses
• Reporting once and in a common way to authorities
• Electronic reporting will be offered to all
  businesses
• Feed-back based on own information and with
  relevant statistics
• Population and Housing Census 2001
• Data on houses were collected, 10 percent used
  Internet questionnaires

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Important issues

• Perceived response burden
• Motivating feedback to respondents
• Metadata
• Data security
• Organisation
• Coordination
• Collecting and combining data from different
  sources and in different ways
• Professionalism and specialisation

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Future prospects Solutions will be improved,
harmonised and extended to cover all data
collection

• Common web-portal
• Improved and harmonised questionnaires
• XML-format
• Common security solutions
• Common metadata database
• Development of expertise in data collection
  activities

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Symbolic characterisation of internet users in
the Basque Country

• London, August 2002
• Marta Mas, Haritz Olaeta, Marina Ayestarán and
  Lourdes Llorens
• Contact H_Olaeta_at_eustat.es

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Outline

• Introduction to Symbolic Analysis
• ESIF 2000-IV and 2001-IV
• Profile of internet users
• Profile of e-buyers
• Discussion
• References

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1.- Introduction to Symbolic Analysis

• The theory of Symbolic Objetcs is being developed
  within a european project
• 1st stage (1996-99) SODAS Project Symbolic
  Official Data Analysis System. Esprit Project nº
  202821
• SODAS software 1.040
• 2nd stage (2001-03) ASSO ProjectAnalysis System
  of Symbolic Official Data . IST-2000-25161

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Definition

• Symbolic Objects are aggregated data concerning
  groups of individuals.
• Each group is defined by variables of the form
• Single valued (e.g., weight 75)
• Multi-valued (e.g., country Sp, UK, Fr)
• Interval-valued (e.g., age1624)
• Probability/frequency distribution
  (sexfemale(0.54), male(0.46)).

SOi
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From classical to symbolic
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SODAS Workbench
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2.- ESIF 2000-IV and 2001-IV

• Information Society Surveys for Individual and
  Families (ESIF), 2000-IV and 2001-IV.
• Use of new Information and Communication
  Technologies.
• Digital Gap?

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3.- Profile of internet users
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(No Transcript)
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4.- Profile of e-buyers
Figure 3. User, Buyer ESI 2000-IV and 2001-IV.
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Figure 4. User, Informed ESI 2000-IV and
2001-IV.
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5.- Conclusions

• Symbolic representation useful approach for
  exploiting data from large surveys
• Easy to visually identify group characteristics
  within and between different surveys.
• Internet users primarily young people with
  university studies.

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References

• Bock, H.H. and Diday E. (1999). Analysis of
  Symbolic Data. Springer-Verlag. ISBN
  3-540-66619-2.
• SODAS Reference Manual.
• More information
• Download www.cisia.com
• ASSO project
• www.assoproject.be
• www.ceremade.dauphine.fr/touati/sodas-pagegarde.
  htm