I'm stoked that you guys also see the potential here. I look forward to continuing this discussion with Yan as her team looks to Wikipedia as a space to try out similar methods.
I hope that I'll see you guys in #wikimedia-research <http://webchat.freenode.net/?channels=#wikimedia-research>. :) -Aaron On Fri, Nov 14, 2014 at 2:25 AM, Gerard Meijssen <[email protected]> wrote: > Hoi, > I hope it will be inspiring.. We do know that challenges work. Mrs Chen > describes that involvement has people contribute more. It had me thinking > and I wrote this blog post. [1]. To prepare for follow up activities in > both WIkidata and Wikidata, I added the winners for "Thanks for the book", > I added dates for the last 5 and I added the university the 2014 winner > went to and added fellow alumni in Wikidata. > > We can pose challenges, I did that in my blogpost. I know of many other > examples where we can engage our community to do better by bringing the > challenge to them. Writing the new article that will be most read in the > next month for your language is one. This notion that by posing targeted > challenges is nothing new. What will be new is when this becomes a best > practice. When we make the data we have WORK for us. > Thanks, > GerardM > > [1] > http://ultimategerardm.blogspot.nl/2014/11/wikidata-thanks-for-book-award.html > > On 13 November 2014 17:51, Aaron Halfaker <[email protected]> wrote: > >> Hey folks, >> >> This month we're holding a special edition of the Research and Data >> showcase >> <https://www.mediawiki.org/wiki/Analytics/Research_and_Data/Showcase>. >> We've invited Dr. Yan Chen, Professor from the UMuch iSchool to present her >> work studying community dynamics with Kiva (micro-lending platform) and >> what her results might imply for Wikimedia's sites. To take advantage of >> her travel schedule, we'll be holding the event on *Friday** November 14 >> at 11.30 PST (UTC-8) *rather than the usually 3rd Wednesday. The event >> will be live streamed and recorded as usual. You can join the conversation >> via IRC on freenode.net in the the #wikimedia-research channel. >> >> We look forward to seeing you there, >> >> -Aaron >> >> *Does Team Competition Increase Pro-Social Lending? Evidence from Online >> Microfinance.*By Yan Chen <http://yanchen.people.si.umich.edu/>In the >> first half of the talk, I will present our empirical analysis of the >> effects of team competition on pro-social lending activity on Kiva.org, the >> first microlending website to match lenders with entrepreneurs in >> developing countries. Using naturally occurring field data, we find that >> lenders who join teams contribute 1.2 more loans per month than those who >> do not. Furthermore, teams differ in activity levels. To investigate this >> heterogeneity, we run a field experiment by posting forum messages. >> Compared to the control, we find that lenders from inactive teams make >> significantly more loans when exposed to a goal-setting message and that >> team coordination increases the magnitude of this effect.In the second >> part of the talk, I will discuss a randomized field experiment we did in >> May 2014, when we recommend teams to lenders on Kiva. We find that lenders >> are more likely to join teams in their local area. However, after joining >> teams, those who join popular teams (on the leaderboard) are more active in >> lending. >> >> _______________________________________________ >> Wiki-research-l mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >> >> > > _______________________________________________ > Wiki-research-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > >
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