Hoi, There is a responsibility by the people doing massive uploads of data that is full of everything under the sun. Given the scale of these imports "so fix it" is not appropriate. Thanks, GerardM
On 19 September 2017 at 07:14, Peter Southwood <peter.southwood@telkomsa.net
wrote:
So fix it, Cheers, Peter
-----Original Message----- From: Wikimedia-l [mailto:wikimedia-l-bounces@lists.wikimedia.org] On Behalf Of James Salsman Sent: Tuesday, 19 September 2017 2:53 AM To: Wikimedia Mailing List Subject: Re: [Wikimedia-l] Research Showcase Wednesday, September 20, 2017 at 11:30 AM (PST) 18:30 UTC
Wow, first there was solid evidence that tourism is causally influenced by Wikipedia, and now science. The English Wikipedia's Economics article still says "Tax cuts [boost] aggregate demand." Isn't it time that potentially harmful biases in economics articles are tempered as carefully as those in medical articles?
On Tue, Sep 19, 2017 at 1:53 AM, Sarah R srodlund@wikimedia.org wrote:
The next Research Showcase will be live-streamed this Wednesday, September 20, 2017 at 11:30 AM (PST) 18:30 UTC.
YouTube stream: https://www.youtube.com/watch?v=VR5JwqyVGSk
As usual, you can join the conversation on IRC at #wikimedia-research. And, you can watch our past research showcases here <https://www.mediawiki.org/wiki/Wikimedia_Research/
Showcase#September_2017>.
...
Science is Shaped by Wikipedia: Evidence from a Randomized Control Trial By Neil C. Thompson and Douglas Hanley
As the largest encyclopedia in the world, it is not surprising that Wikipedia reflects the state of scientific knowledge. However, Wikipedia is also one of the most accessed websites in the world, including by scientists, which suggests that it also has the potential to shape science. This paper shows that it does. Incorporating ideas into a Wikipedia article leads to those ideas being used more in the scientific literature. This paper documents this in two ways: correlationally across thousands of articles in Wikipedia and causally through a randomized experiment where we added new scientific content to Wikipedia. We find that fully a third of the correlational relationship is causal, implying that Wikipedia has a strong shaping effect on science. Our findings speak not only to the influence of Wikipedia, but more broadly to the influence of repositories of scientific knowledge. The results suggest that increased provision of information in accessible repositories is a very cost-effective way to advance science. We also find that such gains are equity-improving, disproportionately benefitting those without
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