1. I was referring to the readership stats for individual articles for current events in general, as we see in the Signpost traffic report; not a meaningful change in overall traffic, although it would be interesting if that could be demonstrated.
2. I'm am inclusionist as far as Signpost articles are concerned. The scope of the Research newsletter appears to include research by academics and research by WMF staff; taking a broad view of what is meant by "research", Jeff's work would be of interest. Pine On Oct 25, 2015 9:01 AM, "Tilman Bayer" <[email protected]> wrote: > Hi Pine, > > On Sun, Oct 25, 2015 at 1:49 AM, Pine W <[email protected]> wrote: > > Fun! Current major news events (good, bad or in between) seem to do good > for > > our readership stats in general. > What is this conclusion based on? If you find evidence for impact of a > major news event on our general readership stats, please let me know > so that I can include that in the weekly readership metrics reports > that I'm currently sending to the Mobile-l mailing list. > > > Happy to see this info here. Can you write > > up a brief for the upcoming Research Newsletter? > > It's a great piece of data analysis, but not really in scope for the > research newsletter. Pine, in case you want to familiarize yourself > more with the newsletter or would like to contribute, see > https://meta.wikimedia.org/wiki/Research:Newsletter . > > > > > Pine > > > > On Oct 24, 2015 2:01 PM, "Jeff Elder" <[email protected]> wrote: > >> > >> Friday morning I saw a tweet from a TV meteorologist exclaiming at the > >> speed of edits to the Hurricane Patricia article page on Wikipedia. That > >> struck me, and we tweeted about the updates several times as #Patricia > went > >> viral, including this tweet containing a public domain GIF of the storm > on > >> satellite. > >> > >> The GIF tweet was #1 in media views, #3 in gaining new followers for our > >> account, and #5 in engagements over the past 12 months. (Fear not: I am > very > >> conservative about tweeting GIFs. Thank you, Michael, for encouraging > the > >> experiment.) > >> > >> Our Patricia tweets are roughly corollated to spikes on the article's > page > >> views, but that's not due to a surge of clickthroughs. I'd like to > think it > >> helped. (See attached.) The page went from nothing to 100K views in 24 > >> hours, as James noted on Twitter. We hopped on the page's back for a > ride, > >> not the other way around. > >> > >> But we got in that viral conversation, helped to demonstrate that news > >> unfolds on Wikipedia, and underscored our real-time relevance. (We're > not > >> just waiting here for you to look weird stuff up.) > >> > >> The Twitter bot @wikipediatrends tweets page view spikes. I've > subscribed > >> to notifications so we can continue to be opportunistic. Zack mentioned > >> perhaps becoming a stock tile or recommended account in Twitter Moments > or > >> another social media starter kit for media. I'm working on it. I'm also > >> beginning to look into Snapchat possibilities. > >> > >> Welcome any suggestions of real-time conversations to jump into, or ways > >> to do it better. > >> > >> Thanks much, > >> > >> Jeff Elder > >> Digital communications manager > >> Wikimedia Foundation > >> 704-650-4130 > >> @jeffelder > >> @wikipedia > >> The Wikimedia blog > >> > >> _______________________________________________ > >> Social-media mailing list > >> [email protected] > >> https://lists.wikimedia.org/mailman/listinfo/social-media > >> > > > > _______________________________________________ > > Social-media mailing list > > [email protected] > > https://lists.wikimedia.org/mailman/listinfo/social-media > > > > > > -- > Tilman Bayer > Senior Analyst > Wikimedia Foundation > IRC (Freenode): HaeB > > _______________________________________________ > Social-media mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/social-media >
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