1 00:00:00,060 --> 00:00:03,464 - [Yan Chen] It's good that we have an army of enthusiasts 2 00:00:03,464 --> 00:00:05,390 writing Wikipedia articles, 3 00:00:05,960 --> 00:00:10,868 but sometimes when it concerns a disease that I might have, 4 00:00:10,877 --> 00:00:13,494 I really want the experts' input. 5 00:00:13,790 --> 00:00:15,574 ♪ [music] ♪ 6 00:00:26,647 --> 00:00:30,240 Wikipedia is one of the most important references 7 00:00:30,240 --> 00:00:31,932 for the general public 8 00:00:31,991 --> 00:00:36,818 It's actually one of the top five most visited websites in the world. 9 00:00:37,051 --> 00:00:40,900 Everyone reads Wikipedia articles, but sometimes you spot an error 10 00:00:40,900 --> 00:00:44,101 or you say, "Well, this is not really correct." 11 00:00:44,101 --> 00:00:45,418 But you move on 12 00:00:45,418 --> 00:00:48,219 and say, "Someone else might fix it." 13 00:00:51,108 --> 00:00:53,694 That's called the "free rider problem." 14 00:00:55,131 --> 00:00:58,702 The success of Wikipedia has been really surprising 15 00:00:58,702 --> 00:01:03,069 for economists because it relies purely on volunteer labor. 16 00:01:03,437 --> 00:01:07,969 The medical profession has found that patients tend to bring printouts 17 00:01:07,969 --> 00:01:10,785 of Wikipedia articles to their doctor's office. 18 00:01:11,515 --> 00:01:14,223 Some of these articles are of low quality 19 00:01:14,224 --> 00:01:16,528 because they were not written by experts. 20 00:01:16,528 --> 00:01:21,411 We're trying to figure out what are the some of the motivators 21 00:01:21,411 --> 00:01:24,800 to get experts to contribute to high quality content. 22 00:01:25,064 --> 00:01:28,832 So we decided to do a field experiment to tease out the causalities, 23 00:01:28,832 --> 00:01:32,332 to figure out what motivates people to contribute to Wikipedia, 24 00:01:32,332 --> 00:01:34,927 whether it's social impact or private benefit 25 00:01:34,927 --> 00:01:39,081 or public acknowledgement, or a combination of these factors. 26 00:01:42,286 --> 00:01:44,603 So in this study, in this field experiment, 27 00:01:44,603 --> 00:01:47,970 we contacted about 4,000 academic economists. 28 00:01:47,970 --> 00:01:49,439 We have a generic message 29 00:01:49,439 --> 00:01:52,805 which says Wikipedia is a very valuable public good, 30 00:01:52,805 --> 00:01:57,620 and yet lots of the articles are inaccurate or not up to date. 31 00:01:57,620 --> 00:02:01,089 Would you spend 10 to 15 minutes commenting 32 00:02:01,089 --> 00:02:02,871 on these Wikipedia articles? 33 00:02:02,871 --> 00:02:06,205 Then we vary the paragraphs depending on whether 34 00:02:06,205 --> 00:02:08,322 they're in the treatment or the control group. 35 00:02:08,861 --> 00:02:12,061 In the control group, we don't mention that the articles 36 00:02:12,061 --> 00:02:13,885 might cite your research. 37 00:02:14,838 --> 00:02:19,129 And in the private benefit condition we say they might cite your research, 38 00:02:19,129 --> 00:02:21,962 and we have another condition which says, "We will publicly 39 00:02:21,962 --> 00:02:24,607 acknowledge your contributions." 40 00:02:27,153 --> 00:02:30,706 Simply asking the expert, "Would you contribute?" 41 00:02:30,837 --> 00:02:33,938 you get a pretty high response rate, 42 00:02:34,027 --> 00:02:37,662 which is about 45% of the people say, "Yes, I'm willing." 43 00:02:37,662 --> 00:02:41,510 When we sent out the links, it turns out a third of the people 44 00:02:41,510 --> 00:02:45,532 actually contributed, and we look at what are the features 45 00:02:45,532 --> 00:02:47,525 that predict contributions. 46 00:02:48,011 --> 00:02:53,450 It turns out that if the article is really well-matched 47 00:02:53,720 --> 00:02:55,866 to their research expertise, 48 00:02:56,107 --> 00:02:58,506 they're much more likely to contribute, 49 00:02:58,587 --> 00:03:00,887 and they're contributing higher quality content. 50 00:03:01,371 --> 00:03:04,629 So good matching is really important for volunteering. 51 00:03:04,945 --> 00:03:08,646 We also try to figure out are people more motivated 52 00:03:08,646 --> 00:03:12,194 by the private benefits, what they get out 53 00:03:12,194 --> 00:03:13,946 of the contributions. 54 00:03:13,946 --> 00:03:16,695 So we do that by telling the treatment group 55 00:03:16,695 --> 00:03:19,710 that we'll send you articles to comment on 56 00:03:19,710 --> 00:03:21,578 that might reference your research. 57 00:03:21,578 --> 00:03:25,984 So it turns out that knowing that you might be cited 58 00:03:25,984 --> 00:03:30,894 increases the positive response rate by about 13%. 59 00:03:31,594 --> 00:03:35,195 We also find that the public acknowledgement, 60 00:03:35,195 --> 00:03:37,962 saying that we will post your contributions 61 00:03:37,962 --> 00:03:40,923 and acknowledge your contributions publicly, 62 00:03:40,923 --> 00:03:44,794 people are more likely to provide high quality content. 63 00:03:46,011 --> 00:03:50,095 And public impact -- you know we vary the views 64 00:03:50,095 --> 00:03:52,861 of the Wikipedia articles that we sent. 65 00:03:52,861 --> 00:03:57,444 We either say on average, a Wikipedia will get 426 views. 66 00:03:57,444 --> 00:04:01,934 But we'll send articles which have at least 1,000 views to you. 67 00:04:01,934 --> 00:04:07,623 People are most motivated when the private benefit 68 00:04:07,623 --> 00:04:09,773 is combined with the social impact. 69 00:04:09,773 --> 00:04:12,745 The social impact by itself actually doesn't 70 00:04:12,745 --> 00:04:14,706 quite have the same effect. 71 00:04:18,923 --> 00:04:21,790 I think if we replicate it in other fields 72 00:04:21,790 --> 00:04:24,831 we'll have more confidence that private benefits, 73 00:04:24,831 --> 00:04:28,474 such as citation benefits, would get people interested 74 00:04:28,474 --> 00:04:31,219 in contributing, and citation benefits 75 00:04:31,219 --> 00:04:33,102 in combination with social impact 76 00:04:33,102 --> 00:04:35,502 would have a larger effect. 77 00:04:35,604 --> 00:04:38,653 We need to push it to other fields as well 78 00:04:38,653 --> 00:04:42,621 to see if they're robust across different communities. 79 00:04:43,270 --> 00:04:45,388 - [Narrator] Want to see more economists in the wild? 80 00:04:45,388 --> 00:04:46,760 Check out our playlist. 81 00:04:46,760 --> 00:04:47,843 Are you a teacher? 82 00:04:47,843 --> 00:04:49,877 Here's some related material for your classroom. 83 00:04:49,877 --> 00:04:51,225 Want to dive deeper? 84 00:04:51,225 --> 00:04:54,377 Wikipedia is what economists call a "public good." 85 00:04:54,377 --> 00:04:56,278 Learn more by watching this video. 86 00:04:56,698 --> 00:04:58,231 ♪ [music] ♪