< Return to Video

Wikipedia: How to Motivate Expert Contributions? (Yan Chen, University of Michigan)

  • 0:00 - 0:03
    - [Yan] It's good that we have
    an army of enthusiasts
  • 0:03 - 0:05
    writing Wikipedia articles,
  • 0:06 - 0:11
    but sometimes when it concerns
    a disease that I might have,
  • 0:11 - 0:13
    I really want the experts' input.
  • 0:14 - 0:16
    ♪ [music] ♪
  • 0:27 - 0:30
    Wikipedia is one of the most
    important references
  • 0:30 - 0:32
    for the general public
  • 0:32 - 0:37
    It's actually one of the most top five
    most visited websites in the world.
  • 0:37 - 0:41
    Everyone reads Wikipedia articles,
    but sometime you spot an error
  • 0:41 - 0:44
    or you say,
    "Well, this is not really correct."
  • 0:44 - 0:45
    But you move on
  • 0:45 - 0:48
    and say, "Someone else might fix it."
  • 0:51 - 0:54
    That's called the "free rider problem."
  • 0:55 - 0:59
    The success of Wikipedia
    has been really surprising
  • 0:59 - 1:03
    for economists because it relies
    purely on volunteer labor.
  • 1:03 - 1:08
    The medical profession has found
    that patients tend to bring printouts
  • 1:08 - 1:11
    of Wikipedia articles
    to their doctor's office.
  • 1:12 - 1:14
    Some of these articles
    are of low quality
  • 1:14 - 1:17
    because they were not written by experts.
  • 1:17 - 1:21
    We're trying to figure out
    what are the some of the motivators
  • 1:21 - 1:25
    to get experts to contribute
    to high quality content.
  • 1:25 - 1:29
    So we decided to do a field experiment
    to tease out the causalities,
  • 1:29 - 1:32
    to figure out what motivates people
    to contribute to Wikipedia,
  • 1:32 - 1:35
    whether it's social impact
    or private benefit
  • 1:35 - 1:39
    or public acknowledgement
    or a combination of these factors.
  • 1:42 - 1:45
    So in this study,
    in this field experiment,
  • 1:45 - 1:48
    we contacted about 4,000
    academic economists.
  • 1:48 - 1:49
    We have a generic message
  • 1:49 - 1:53
    that says Wikipedia
    is a very valuable public good,
  • 1:53 - 1:58
    and yet lots of the articles
    are inaccurate or not up to date.
  • 1:58 - 2:01
    Would you spend
    10 to 15 minutes commenting
  • 2:01 - 2:03
    on these Wikipedia articles?
  • 2:03 - 2:06
    Then we vary the paragraphs
    depending on whether
  • 2:06 - 2:08
    they're in the treatment
    or the control group.
  • 2:09 - 2:12
    In the control group,
    we don't mention that the articles
  • 2:12 - 2:14
    might cite your research.
  • 2:15 - 2:19
    And in the private benefit condition
    we say they might cite your research,
  • 2:19 - 2:22
    and we have another condition
    which says, "We will publicly
  • 2:22 - 2:25
    acknowledge your contributions."
  • 2:27 - 2:31
    Simply asking the expert,
    "Would you contribute?"
  • 2:31 - 2:34
    you get a pretty high response rate,
  • 2:34 - 2:38
    which is about 45% of the people
    say, "Yes, I'm willing."
  • 2:38 - 2:42
    When we send out the links,
    it turns out a third of the people
  • 2:42 - 2:46
    actually contributed,
    and we look at what are the features
  • 2:46 - 2:48
    that predict contributions.
  • 2:48 - 2:53
    It turns out that if the article is
    really well-matched
  • 2:54 - 2:56
    to their research expertise,
  • 2:56 - 2:59
    they're much more likely
    to contribute,
  • 2:59 - 3:01
    and they're contributing
    higher quality content.
  • 3:01 - 3:05
    So good matching is really
    important for volunteering.
  • 3:05 - 3:09
    We also try to figure out
    are people more motivated
  • 3:09 - 3:12
    by the private benefits,
    what they get out
  • 3:12 - 3:14
    of the contributions.
  • 3:14 - 3:17
    So we do that by telling
    the treatment group
  • 3:17 - 3:20
    that we'll send you articles
    to comment on
  • 3:20 - 3:22
    that might reference your research.
  • 3:22 - 3:25
    So it turns out that knowing
    that you might be cited
  • 3:25 - 3:31
    increases the positive response rate
    by about 13%.
  • 3:32 - 3:35
    We also find
    that the public acknowledgement,
  • 3:35 - 3:38
    saying that we will post
    your contributions
  • 3:38 - 3:40
    and acknowledge
    your contributions publicly,
  • 3:40 - 3:45
    people are more likely
    to provide high quality content.
  • 3:46 - 3:50
    And public impact --
    you know we vary the views
  • 3:50 - 3:53
    of the Wikipedia articles
    that we sent.
  • 3:53 - 3:57
    We either say on average,
    a Wikipedia will get 426 views.
  • 3:57 - 4:02
    But we'll send articles which have
    at least 1,000 views to to you.
  • 4:02 - 4:08
    People are most motivated
    when the private benefit
  • 4:08 - 4:10
    is combined with the social impact.
  • 4:10 - 4:13
    The social impact
    by itself actually doesn't
  • 4:13 - 4:15
    quite have the same effect.
  • 4:19 - 4:22
    I think if we replicate it
    in other fields,
  • 4:22 - 4:25
    we'll have more confidence
    that private benefits,
  • 4:25 - 4:28
    such as citation benefits
    would get people interested
  • 4:28 - 4:31
    in contributing
    and citation benefits
  • 4:31 - 4:33
    in combination
    with social impact
  • 4:33 - 4:36
    would have a larger effect.
  • 4:36 - 4:39
    We need to push it
    to other fields as well
  • 4:39 - 4:43
    to see if they're robust
    across different communities.
  • 4:43 - 4:45
    - [Narrator] Want to see more
    economists in the wild?
  • 4:45 - 4:47
    Check out our playlist.
  • 4:47 - 4:48
    Are you a teacher?
  • 4:48 - 4:50
    Here's some related material
    for your classroom.
  • 4:50 - 4:51
    Want to dive deeper?
  • 4:51 - 4:54
    Wikipedia is what economists
    call a "public good."
  • 4:54 - 4:56
    Learn more by watching this video.
  • 4:57 - 4:58
    ♪ [music] ♪
Title:
Wikipedia: How to Motivate Expert Contributions? (Yan Chen, University of Michigan)
Description:

more » « less
Video Language:
English
Team:
Marginal Revolution University
Project:
Economists in the Wild
Duration:
05:02

English subtitles

Revisions Compare revisions