Greetings,
I am curious about generating reports about editing activity against pageviews on articles linked from a particular trending article. The hypothesis is that editing activity does not receive proportional increases to pageviews.
For example, on July 6, 2013 Asiana Airlines Flight 214 crashed at San Francisco International Airport. In the weeks following the event, there was an increase of visitor traffic on articles such as aviation safety, black box (transportation), and cockpit voice recorder, and flight recorder. Empirical evidence shows that edit activity was low on those articles. Perhaps it’s because there was a lot of activity on the Asiana Airlines Flight 214 article?
Does anyone know of any preexisting tools to generate these types of reports? I know it could be custom-made, but wanted to see if there was already any work done first.
Stella
On Fri, Aug 16, 2013 at 9:34 AM, Stella Yu stellayu@gmail.com wrote:
Greetings,
Does anyone know of any preexisting tools to generate these types of reports? I know it could be custom-made, but wanted to see if there was already any work done first.
Stella
I've done a few analysis related to that sort of thing, and I do manual datamining for it because I am generally not looking for lots of trends across articles. (I do it a lot with my own GLAM work.) If there is a public tool that would easily pull that up, I would also love to see it. I just am not sure the ultimate value because some of the major news stories get locked from editing due to vandalism, etc. which can and does skew the potential to edit. (This happened with a dataset about Wikipedia in my thesis when a major sporting scandal impacted the Melbourne Storm. The article views increased but the edit count dropped hugely because only certain editor types could edit.)
Sincerely, Laura Hale
wiki-research-l@lists.wikimedia.org