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Social Visualization Encouraging Participation in Online Communities

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Title: Social Visualization Encouraging Participation in Online Communities


1
Social Visualization Encouraging Participation in
Online Communities
  • Lingling Sun
  • Julita Vassileva
  • University of Saskatchewan
  • Canada

2
Outline
  • Goal
  • Background Motivating Participation
  • Related Theories in Social Psychology
  • Related Works in Online Communities
  • Design of the Visualization
  • Static Design
  • Usability study
  • Dynamic Design
  • Experiment and Evaluation
  • Final Design
  • Experiment and Evaluation

3
Goal
  • Problem encouraging participation in P2P online
    communities. 80/20 rule.
  • Existing solutions focus on technical hacks,
    optimizing protocols, etc.
  • Goal motivate users to bring more contributions
  • Target Peer-to-Peer (P2P) online community
  • Method apply community visualization a
    graphical user interface which can visually
    represent a P2P online community

4
Theories in Social Psychology
  • Social Comparison
  • People tend to compare with their peer group
    their ideas, believes, behaviors, attitudes etc.
  • People want to fit in their peer group
  • e.g. Have similar idea as their peers
  • e.g. Do similar things as their peers do

5
Theories (2)
  • Balance Theory

6
Related Work in Online Communities
7
Visualization Static Design
8
Evaluation Static Design
  • Comtella for sharing research papers among profs
    and grad- students
  • Deployed in our Department, 2 months, 20 users,
    fall 2003
  • Not enough data for quantitative evaluation
  • Hard to ensure simultaneous presence too complex
    topics hierarchy
  • User Feedback
  • Visualization is a nice feature
  • Useful easy to discover who has
    whatinteresting
  • Major Problems
  • Not enough interactivity
  • Random graphical location
  • No consistent node representation, size depends
    on who is active at the moment
  • No strong motivation effect, sometimes even
    discouraging
  • Not self-explanatory

9
Visualization Dynamic Design
10
Experiment
  • Comtella supporting a class of students to share
    class-related resources
  • Subjects 35 students taking CMPT 490 in T2
    2003/2004
  • Servants reside on a server
  • ? participation focus is on sharing URLs of
    articles
  • Duration January 11 April 5, 2004
  • Comtella without visualization 6 topics
  • Comtella with visualization 4 topics
  • 1 topic gt 1 week, except topic 6 gt 3 weeks

11
Evaluation
  • Collected data about
  • Visualization usage
  • User cooperative actions sharing, downloading
    from others, ratings, comments, logging in
  • User feedback questionnaire
  • Correlating data about usage of visualization and
    cooperative actions
  • Comparing the performances of the group of
    subjects under two conditions
  • with the visualization (first 6 topics of class)
  • without the visualization (remaining 4 topics)

12
Evaluation
  Total Contribution Total Contribution Original Contribution Original Contribution Comments Comments Ratings Ratings
  number number number number
Overall 3526 100 821 100 888 100 578 100
before 7 803 22.77 331 40.32 176 19.82 73 12.63
week 7 745 21.13 131 15.96 162 18.24 112 19.38
after 7 2723 77.23 490 59.68 712 80.18 505 87.37
13
Evaluation
  • People who used the visualization more often
    contributed more
  • e.g. the top ten users made over 50 of their
    contributions after the visualization was
    introduced.
  • The visualization had a greater effect on the
    total number of contributions (shared papers)
    than on the original (new) contributions
  • People used more often the default view (the view
    showing the original contribution of each user).
  • Very few users made the effort to make an extra
    selection to see other views
  • Some users contributed many links of low quality

14
Lessons Learned from Dynamic Design Evaluation
  • Multi-views are not useful because users do not
    want to make extra selections -gt need to
    eliminate user effort
  • integrate as much info as possible in one view
  • only ask user to select the topic (week)
  • Visualization should be intuitive and
    self-explanatory
  • A better clustering approach needed ? Classify
    users into different contribution levels based on
    the natural gaps in their contributions rather
    than on fixed thresholds
  • Stars need to be more attractive
  • Need to motivate social comparison in the quality
    of the contributions ? find a way to visualize
    user reputation

15
Visualization Final Design
Size number of original
contributions Colour membership
(status) Brightness reputation (quality of
contributions) State
offline or online
More attractive design of the stars Stars vary in
size, colour, brightness, state
16
Visualization Final Design
17
Experiment
  • Comtella used as class-support tool again
  • Web-based application (ensures presence, more
    reliable)
  • Subjects 30 students taking CMPT 408 in T2
    2004/2005, January 17 April 8, 2005
  • Cooperative acts sharing URLs of new articles,
    reading articles shared by others, rating,
    logging-in
  • Experiment design
  • two groups with randomly assigned users
  • Group A (less active), Group B (more active)

18
Experiment
  • Hypothesis

19
Evaluation
20
Evaluation
21
Evaluation
  • The hypothesis is confirmed by the results
  • The inactive group becomes more active when it
    had access to the visualization, while the other
    group remains the same
  • ? The difference between the performance of the
    two groups shrinks
  • The inactive group becomes less active when it
    did not have access to the visualization, and the
    active group becomes more active when it had the
    visualization ?
  • The difference between the performance of the two
    groups increases
  • Statistical tests (t-Distribution Test and
    Wilcoxons Matched Pairs Signed Rank Test) show
    that the difference between the performances of
    the two groups is significant for all
    activities, i.e. it is not due to chance or
    randomness -gt it is a result of applying the
    visualization.
  • Statistical significance for logging in (0.95 for
    both t-test and Wilcoxon) and rating (0.975 for
    t-test and 0.95 for Wilcoxon) activities
  • No statistical significance for sharing and
    reading activities.

22
User Feedback
  • 65 of the users said they used the visualization
    mainly to compare contributions
  • 40 used the visualization to find top
    contributors

  -2 -1 0 1 2
overall 9.09 0 22.73 59.09 9.09
support tool to cmpt408 8.70 4.35 13.04 34.78 39.13
usability 10.53 21.05 21.05 42.11 5.26
reliability 9.52 19.05 14.29 42.86 14.29
visualization attractive 10 5 35 30 20
visualization useful 10 5 35 40 10
visualization intuitive 10 15 35 25 15
visualization effective 25 15 40 20 0
quality of shared links 20 0 25 45 10
fairness 10 0 10 65 15
23
Conclusions
  • The prototype community visualization has
    motivational effect on user participation i.e.
    stimulates users to contribute more ratings and
    be more active in the online community.
  • Usefulness, Visual attractiveness
  • User controls (interaction) vs. simplicity,
    intuitive design
  • Personal preferences
  • Future work
  • Exploring and comparing the effect of other forms
    and metaphors of presenting community information
    (e.g. charts, tables, different metaphors)
  • Experimenting with one feature at a time
  • Representing relationships between users, e.g.
    who reads whose contributions most often.

24
More information
Try Comtella at http//kardam.usask.ca8080/comt
ellaum/ Read more about motivating
participation http//bistrica.usask.ca/madmuc/in
dex.html
Questions ?
25
Visualization Dynamic Design
  • Topic selection
  • Criteria selection
  • Total contribution
  • Original contribution
  • Status
  • Usage frequency
  • Viewing details of a peer
  • Hierarchical location of nodes
  • X 10 N level one
  • Y 40 (N - X) 36N level two,
  • Z 50 (N - X - Y) 27N level three,
  • The rest 27N level four
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