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Incentive Mechanisms for Encouraging Participation in Online Communities

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Title: Incentive Mechanisms for Encouraging Participation in Online Communities


1
Incentive Mechanisms for Encouraging
Participation in Online Communities 
  • Julita Vassileva
  • MADMUC Lab Computer Science DepartmentUniversity
    of Saskatchewan, Canada

2
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3
Outline
  • Motivation why is participation important?
  • Comtella 2002-2007 a sharing community
  • Approaches for motivating participation
  • Social incentives awareness
  • Social incentives status
  • Extrinsic incentives power
  • Intrinsic social incentives reciprocal
    relationships
  • Intrinsic incentives aesthetic pleasure
  • Current projects
  • Conclusions

4
Online communities
  • Outline
  • Motivation
  • Comtella
  • Approaches
  • Social comparison
  • Rewards  
  • Motivating altruistic users
  • Current projects
  • Conclusions
  • Large interest based communities
  • Usenet discussion groups
  • Blogs LifeJournal, MySpace, Blogger, etc.
  • Game communities e.g. World of Warcraft, Second
    Life, EverQuest
  • Sharing communities filesharing (BitTorrent),
    digital photos (Flickr), bookmarks (CiteULike)
  • Social networking Orkut, LinkedIn, OpenBC
  • Custom-made communities for particular purpose,
    e.g. knowledge management
  • Expertise finding in enterprises, or peer-help
    systems in education, e.g. I-Help
  • Sharing resources, e.g. lecture notes, papers
    within a research lab/group, e.g. Comtella
  • Network effects
  • more users - more diverse and interesting
    materials - more users.
  • less users - nothing is happening - those who
    come by chance leave
  • Feedback loop!
  • Hypothesis after reaching a critical mass of
    participation, the community will become
    self-sustained

5
Reaching critical mass
  • By chance
  • YouTube, LifeJournal, Flicker, Wikipedia,
  • By purchase
  • YouTube - by Google 1.6 billion US in Oct06,
  • Flicker by Yahoo)
  • By design
  • build incentives in the software, e.g Slashdot

6
The cold start problem
  • Incentives
  • people try to maximize utility
  • they choose to do what is rewarded
  • Rewards can be different
  • Extrinsic rewards money, marks
  • Social rewards status, power, relations 
  • Intrinsic rewards contributing to a shared
    cause, aesthetic pleasure

7
Comtella
  • Outline
  • Motivation
  • Comtella
  • Approaches
  • Social comparison
  • Rewards  
  • Motivating altruistic users
  • Current projects
  • Conclusions
  • History
  • 2002-03 P2P (Gnutella) client for sharing
    research papers (as files) in the MADMUC lab
    (Vassileva _at_ CoopIS02, Bretzke Vassileva _at_
    UM03)
  • 2004 Centralized P2P to support 4th year
    students in a class on Ethics and IT to share
    URLs related to each topic/ week) (Cheng
    Vassileva _at_ ITS2004, _at_HICSS05)
  • 2005 Reimplemented as a centralized web-based
    online community (ChengVassileva, UMUAI last
    issue)

8
Comtella
  • History (current)
  • 2006 Comtella-D system - a discussion forum for
    the Ethics and IT class link sharing (Webster
    Vassileva, AH2006)
  • 2006-07 Comtella Framework multi-community,
    muti-node
  • (Muhammad Vassileva, UbiDeUM2007)

9
Comtella 2002/2003 -- supporting sharing of
papers in a lab
10
Incentive Approach
  • Socialawareness

Image from depts.washington.edu/.../painting/4rev
eldt.htm
11
Theories in social psychology
  • Social Conformity Asch
  • People want to fit in their peer group e.g. have
    similar ideas, do similar things
  • Social Comparison Leon Festinger
  • People tend to compare with their peer group
  • Knowing that their peers may align to them, they
    behave more responsibly, care about positive
    social image and status
  • Real versus Online Communities MovieLens
    experiment

12
Community visualization
Helen Bretzke
Chris Cox
Lingling Sun
13
Lessons learned
  • Too complex topics hierarchy hard to classify
    papers when sharing
  • Major problems of visualization
  • Shows only users that are currently online
    (emphasizes loneliness)
  • Size depends on who is active at the moment
  • Random graphical location, but users tried to
    interpret the position
  • Hard to distinguish between sizes of stars

14
Comtella supporting a class
  • Supports sharing class-related web-links (popular
    magazine articles etc.)
  • Links classified according to the curriculum ?
    weekly topics
  • Deployed for 3 months in 2004 in a 4th year class
    on Ethics and IT, 35 users

15
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16
Incentive approach
  • Explicit status

17
Social psychology again
  • Theory of Discrete Emotions Fear
  • When people are afraid of loosing something, they
    are very sensitive to messages related to how to
    avoid the danger

18
Incentive mechanism in Comtella
  • Outline
  • Motivation
  • Comtella
  • Approaches
  • Social comparison
  • Rewards  
  • Motivating altruistic users
  • Current projects
  • Conclusions

Ran Cheng
  • Rewarding participatory acts with points and
    status
  • The user earns points by
  • sharing new links, rating links, etc.
  • Points accumulate and result in
  • higher status for the user
  • Memberships

Gold
10
60
Silver
Bronze
30
19
Weidong Han
20
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21
Evaluation
  • Subjects 35 students taking Ethics and IT (CMPT
    490) in T2 (2003/2004)
  • Centralized - servants reside on a server
  • redundancy is no longer needed
  • participation focus is on sharing new URLs of
    articles
  • Duration January 11 April 5, 2004
  • 1 topic gt 1 week, except topic 6 gt 3 weeks

Without status and visualization
With status and vis
1 2 3 4 5 6
7 8 9 10
topics
22
Results 1 group contributions
  Original Contribution Original Contribution Comments Comments Ratings Ratings
  number number number
Overall 821 100 888 100 578 100
before 7 331 40.32 176 19.82 73 12.63
week 7 131 15.96 162 18.24 112 19.38
after 7 490 59.68 712 80.18 505 87.37
23
Results 2 new contributions Vs. visualization
usage
Correlation 0.66
24
Results 3 Memberships
  • 58 of the users indicated that they have tried
    to upgrade their memberships.
  • Most of the users checked weekly the evaluation
    of their contribution.
  • The membership card was clicked 10.8 times per
    user in the last four weeks.
  • 48 of the users clicked the cards every week to
    check their participation and contribution
    levels.

25
Summary - quantitative eval.
  • Hierarchical memberships were very motivating
  • Some users contributed many links of low quality
    (15) to maximize their nodes
  • Several users commented negatively about the
    decline of quality in the end of the term
  • People used more often the default view (original
    contribution).
  • Very few users made the effort to make an extra
    selection to see other views
  • People who used the visualization more often
    contributed more original papers

26
Lessons learned
  • Multi-views are not useful
  • Stars need to be more attractive
  • Need to motivate social comparison in the quality
    of the contributions ? find a way to visualize
    user reputation
  • User Status is very effective in increasing
    participation in sharing new papers, but
  • stimulated low quality papers excessive number
    of contributions
  • has to stimulate contributions early in the week

visualization
status
27
Adaptive incentive mechanism requirements
  • To ensure sustainability, the incentive mechanism
    needs to
  • Reward contribution of new resources, but
  • Discourage excessive contribution
  • Encourage timely contributions
  • Encourage high quality contributions
  • Ensure a way to measure the quality of
    contributions ? reward ratings

28
Incentives approach
  • Introducing an Extrinsic Incentive Currency,
    which gives power to the user
  • Adaptive Rewards
  • Community model reflects the current needs of
    the community
  • More papers or more ratings?
  • Depending on the time in the week
  • Individual model reflects the users recent
    tendency of contributions
  • Good or bad papers and ratings?
  • What number of contributions (too few / too
    many)?

29
Extrinsic incentive for rating
  • Separate rewards for rating - C-points
  • Currency, earned with each act of rating
  • Can be invested to sponsor own links (like
    Googles sponsored links)
  • Decays over time

30
Comella 2004/2005 adaptive rewards mechanism
  • Points are earned by
  • Contributing new links (depending on their
    quality)
  • Rating other links (depending on the ratings
    quality)
  • Status - weighted sum of the points earned with
    each activity.
  • weights are dynamic
  • current values are shown to the user,

31
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32
Points for rating
33
Social visualization
Size (3) number of original
contributions Colour (4)
membership (status) Brightness (4) reputation
(quality of
contributions) State (2) offline or online
Generated using OpenGL with parameters -
size, colour, temperature/brightness ? More
realistic and attractive design
34
Visualization Final Design
35
Case study
  • Comtella used in the Ethics and IT class at the
    UofS
  • Jan-April 2005
  • 32 students
  • Two groups of 16 throughout the term
  • Test - Comtella 1 with adaptive rewards
    mechanism and c-points, visualization
  • Control - Comtella 2 no adaptive rewards
    mechanism, no c-points, no visualizaton
  • Groups formed to have equal gender and Canadian /
    foreign representation
  • Test and Control groups are separate communities
  • no interaction of shared links, ratings etc.
  • however, students were in the same classroom for
    lectures project teams across both groups
  • We compared the numbers of contributions in each
    group (links, ratings)
  • Post-study online questionnaire

36
Questions and answers (1)
  • Did the users in the test group (Comtella 1) give
    more ratings?
  • Yes nearly twice as much as Comtella 2 1065 vs.
    613 ratings (significant)
  • Did the summative ratings in Comtella 1 reflect
    better the quality of the contributed links?
  • Yes in Comtella 1, 56 (9 users) felt that the
    final summative ratings that their links received
    reflect fairly their quality, while in Comtella
    2, only 25 (4 users) thought so.
  • Did the users in Comtella 1 tend to share links
    earlier in the week?
  • Yes users in Comtella 1 shared 71.3 of their
    contributions in the first 3 days after
    introducing the topic users in Comtella 2 shared
    60.6 of their contributions in the first 3 days.
    The difference was significant for all topics
    and ranged between 7-14.

37
Questions and answers (2)
  • Did the users in Comtella 1 participate more
    actively in general?
  • Yes they read more papers (3419 vs. 2416) and
    logged in the system more frequently (1714 vs.
    982).
  • Is there a significant difference in the total
    number of contributed links between the test and
    the control group?
  • No 613 in Comtella 1 versus 587 in Comtella 2
  • There was no excessive paper contribution in
    either case.

Cheng R., Vassileva J. (2006) Design and
evaluation of an adaptive incentive mechanism
for sustained educational online communities,
User Modeling and User Adapted Interaction, 16
(2/3), 321-348.
38
Lessons learned
  • Incorporating an incentive mechanism can
    stimulate a desired behaviour in an online
    community
  • the c-points stimulated ratings
  • can be useful for collaborative filtering systems
  • An adaptive rewards mechanism can orchestrate a
    desired pattern of collective behaviour
  • the time-adaptation of the rewards stimulated
    users to make contributions earlier
  • It is important to make the user aware of the
    rewards for different actions at any given time

Cheng R., Vassileva J. (2006) Design and
evaluation of an adaptive incentive mechanism
for sustained educational online communities,
User Modeling and User Adapted Interaction, 16
(2/3), 321-348.
39
Pulling in the lurkers in Comtella-D 2005/06
  • Outline
  • Motivation
  • Comtella
  • Approaches
  • Social comparison
  • Rewards  
  • Motivating altruistic users
  • Current projects
  • Conclusions
  • Comtella-D combines the functionality of
    Comtella (sharing links) and a discussion forum
  • Applied in the Ethics and IT class 2005/2006, 20
    students

Andrew Webster
40
Online community composition
Core Membership (5-15)
Peripheral Membership (85-95)
41
Incentive approach
  • Intrinsic incentive
  • Immediate gratification - when users perform a
    desirable action (e.g. rating a post) reward them
    with an aesthetically pleasing effect
  • Intrinsic social incentive
  • Visualizing the asymmetry of interpersonal
    relations
  • Expectation that users will try to correct the
    asymmetry

42
Approach
  • Emphasize what is valued in the community
  • Rating is important reward it (just with
    esthetically pleasing effect)
  • Highly rated content is valued emphasize it
    visually
  • Connect peripheral members to core - make
    relations visible
  • Who reads my postings?
  • Reciprocity?

43
Community energy
_at_work Energy
Stored Energy
The quick red fox jumped over the lazy red
dog. By Andrew
The quick red fox jumped over the lazy brown
dog. By Andrew
The quick red fox jumped over the lazy brown
dog. By Andrew
The quick red fox jumped over the lazy brown
dog. By Andrew
All generalizations are false, including this
one. By Mark Twain
All generalizations are false, including this
one. By Mark Twain
44
  • Community visualization content
  • Topics and individual postings that are rated
    higher
  • appear hot, those rated lower appear cold
  • colours ease navigation in the content
  • aesthetically pleasing, intuitive

45
Approach
  • Connect peripheral members to core
  • Emphasize what is valued within the community
  • Make relations visible

46
We want to connect the dots
47
Modeling relations member Visibility
Blog entry
Discussion post
Shared photos
Mr. Manhattan
cosmotron
Mr. Manhattan sees cosmotron
1.0
0.4
cosmotron doesnt see Mr. Manhattan
1.0
48
Relations visualization
(0,1)
(1,1)
You watch them
Unknowns
0.4
1.0
How much they see you
You both watch each other
They watch you
From Mr. Manhattans perspective
How much you see them
(0,0)
(1,0)
49
Approach
  • Connect peripheral members to core
  • Emphasize what is valued in the community
  • Make relations visible

50
Relation visualization (RelaViz)
51
Study Comtella Discussions
  • Online discussion forum for 2 courses
  • CS 408 (N19 simulated core)
  • Phil 236 (N32 peripheral members)

PHIL
Test interface
CMPT
Control interface (typical discussion forum)
52
Listing forums control interface
53
Listing forums test interface
54
Post header
Control Interface
Test Interface
55
Results
Contribution Counts Contribution Counts Contribution Counts Contribution Counts Average Access / Views Average Access / Views Average Access / Views
Group Threads Posts Comments Ratings Logins Reads Relavis
CS test 72 326 17 55 66.3 233.6 4
CS ctrl 60 299 5 11 48.6 180.2 n/a
Phil test 6 10 0 6 15.9 28.1 1.1
Phil ctrl 1 6 1 4 7.9 19.2 n/a
Significant, plt0.02
56
More results
  • Counted the number of interactions between
    members of the groups core (test), core
    (control), periphery (test), periphery (control).
  • Periphery test users interacted more often with
    the core group than periphery control users
    (plt0.01)
  • Within the core group, members of the test group
    engaged in more symmetrical relations

57
Lessons learned
  • Non-status and non-power based rewards can work
    well too
  • Users can be motivated by
  • Pleasing effects following desirable actions
  • Gentle social comparison of contributions (not
    ego)
  • Appropriate visualization of social relationships
    ? to stimulate reciprocation
  • Modeling and visualizing relationships is
    interesting and useful

58
Claims and questions
  • The users behavior can be dynamically
    orchestrated by
  • Providing social awareness through visualization
  • Providing explicit rewards (status, power,
    esthetic pleasure, social binding) for desired
    user activities
  • Adapting the rewards according to what activities
    are currently needed most by the community.
  • What should be the score?

59
Current projects
  • Outline
  • Motivation
  • Comtella
  • Approaches
  • Social comparison
  • Rewards  
  • Motivating altruistic users
  • Current projects
  • Conclusions

Simulating the evolution of online communities
Modelling interpersonal relationships using
trust Trust-based formation of communities of
interest
Integrating Personal Information
Management Personal rights-management for
blogs Social annotations and tagging
  • Bridging across communities of interest UMtella,
    Women in Science

Social networks for recommending content
60
Sharing /collaborating through blogs
  • Why share?
  • Need to be useful for self first, then to others
  • Sharing own desktop? ? Personal info management
    (PIM)
  • Need to be able to manage access seamlessly
  • Blogs personal info space, accessible from
    everywhere
  • Currently open for everyone to see (like a
    homepage)
  • Managing access rights very much needed
  • Who sees what? Delegating access rights to groups
  • Collaborating allowing others to modify blog (a
    la Wikipedia)
  • Prototype a blog system allowing users to
    manage access rights to their blogs

Indratmo
Indratmo, Vassileva (to appear) A Usability Study
of an Access Control System for Group Blogs,
Proc. International Conference on Weblogs and
Social Media ICWSM'2007, March 26-28, 2007,
Boulder, CO,
61
Bridging online communities
  • Currently, online communities are islands.
  • Each one has to reach critical mass to be
    sustainable
  • But if there were bridges allowing users to
    seamlessly visit across,the critical mass will
    be reached with smaller number of committed users
  • Also new users will find it easier to start in a
    friendlier environment
  • Can we enable users to seamlessly jump across
    communities, without abandoning their old
    communities?
  • Three problems
  • Identity management across communities (MS
    InfoCard?)
  • Translation of user data across communities
    (shared UM ontology)
  • Negotiation of policies across communities
    (purpose-based /decentralized) user modelling
    to determine what user data is shared, how it is
    interpreted, what adaptations should be taken
  • Exploring solutions in the Comtella system
  • Mutli-community, multi-node framework users can
    create own communities
  • Different user roles (owner, admin, moderator),
    status, rights and privileges
  • Communities and nodes are autonomous, with own
    policies.
  • http//umtella.usask.ca/um/

Tariq Muhammad
Muhammad, Vassileva (to appear) Policies and
Decentralized User Modelling in Online
Communities, Proceedings UbiDeUM workshop,
UM2007.
62
Social networks for recommending content
  • Information, like diseases spreads using social
    networks
  • Open model of the relationships of influence
    between users,
  • allow users to add /remove people of influence
  • use these relationships to recommend content
  • applied to recommend RSS (lots of new items)
  • Outperforms classic recommender system on static
    data
  • Try it out at http//keepup.usask.ca we need
    users for evaluation!!

AndrewWebster
Webster A.S., Vassileva J. (to appear) Push-Poll
Recommender System Supporting Word of Mouth,
(to appear) in Proceedings User Modelling,
UM2007, Corfu, Greece, June 25-29, 2007.
63
Conclusions
  • Outline
  • Motivation
  • Comtella
  • Approaches
  • Social comparison
  • Rewards  
  • Motivating altruistic users
  • Current projects
  • Conclusions
  • Motivating participation is a virtually
    unexplored area in social computing
  • On the cross-roads of
  • Economics (mechanism design)
  • Game theory
  • Social Psychology
  • HCI
  • Distributed AI
  • Applications in education, online communities
    and game design, web 2.0, enterprise 2.0 etc
  • In this talk I presented a spectrum of approaches
  • All were successful (encouraged participation)
  • Choosing one is appropriate one depends on the
    community

64
More Info?http//bistrica.usask.ca/madmuc
  • Google for
  • MADMUC or Comtella
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