That does answer the question, but the difficulty is that I see few editors looking to research for guidance about how to improve Wikipedia. The prevailing approach, in my observation, is wikilawyering, and most editors seem more interested in changing content or discussing policy than in looking at social media research. I think it would help to have more proactive engagement with the communitty about research outcomes and suggestions for implementation.
Pine
On Oct 16, 2014 2:24 PM, "Aaron Halfaker" <ahalfaker@wikimedia.org> wrote:I think that's dependent on the research project. In the Human-Computer Interaction research community, we tend to highlight "Implications for Design" in the conclusion of a study(see page 9 of [1] for an example from my work). In the case of democratized research resources, I would like editors to make use of analytics tools. I assume that these editors would then be the means of on-wiki change. Does that answer your question? If not, I'm not sure I understand it.On Thu, Oct 16, 2014 at 4:12 PM, Pine W <wiki.pine@gmail.com> wrote:I'm curious, what is the plan for transforming research outcomes into actionable proposals for on-wiki change?
Pine
On Oct 16, 2014 10:54 AM, "Dan Andreescu" <dandreescu@wikimedia.org> wrote:If I'm right, then it is important that we experiment with strategies for reinforcing/jump-starting Wikipedia's adaptive systems. One way to do that is to make it easier for editors to reflect on current trends. I'd like to think that integrating research practice into wiki culture (what I've been trying to do with all my work) is one way to do that. But it would be better if people don't need wait on me and other WMF researchers to finish a study. We'd all fare better if access to research materials was democratized. That's the reason I am really excited about projects like quarry.wmflabs.org (run SQL against Wikipedia's DBs from your browser).And that, in turn, is exactly why I'm really excited about our efforts to simplify the schema that this data is presented in, so tools like quarry can be even more approachable by folks, even those unfamiliar with SQL.
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