Hello all, Quick reminder that we will be starting in less than an hour. Join us at https://www.youtube.com/watch?v=D6wrr9WShTk.
On Fri, Mar 15, 2024 at 6:19 PM Kinneret Gordon <kgor...@wikimedia.org> wrote: > Hi everyone, > > > The next Research Showcase will be live-streamed on Wednesday, March 20, > at 9:30 AM PST / 16:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1710952200>. In line with Women's > History Month, the theme for this showcase is *Addressing Knowledge Gaps*. > > You are welcome to watch via the YouTube stream: > https://www.youtube.com/watch?v=D6wrr9WShTk. As usual, you can join the > conversation in the YouTube chat as soon as the showcase goes live. > > This month's presentation: > Leveraging Recommender Systems to Reduce Content Gaps on WikipediaBy *Mo > Houtti*Many Wikipedians use algorithmic recommender systems to help them > find interesting articles to edit. The algorithms underlying those systems > are driven by a straightforward assumption: we can look at what someone > edited in the past to figure out what they’ll most likely want to edit > next. But the story of what Wikipedians want to edit is almost definitely > more complex than that. For example, our own prior research shows that > Wikipedians prefer prioritizing articles that would minimize content gaps. > So, we asked, what would happen if we incorporated that value into > Wikipedians’ personalized recommendations? Through a controlled experiment > on SuggestBot, we found that recommending more content gap articles didn’t > significantly impact editing, despite those articles being less “optimally > interesting” according to the recommendation algorithm. In this > presentation, I will describe our experiment, our results, and their > implications - including how recommender systems can be one useful strategy > for tackling content gaps on Wikipedia.Bridging the offline and online- > Offline meetings of WikipediansBy *Nicole Schwitter*Wikipedia is > primarily known as an online encyclopaedia, but it also features a > noteworthy offline component: Wikipedia and particularly its > German-language edition – which is one of the largest and most active > language versions – is characterised by regular local offline meetups which > give editors the chance to get to know each other. This talk will present > the recently published dewiki meetup dataset which covers (almost) all > offline gatherings organised on the German-language version of Wikipedia. > The dataset covers almost 20 years of offline activity of the > German-language Wikipedia, containing 4418 meetups that have been organised > with information on attendees, apologies, date and place of meeting, and > minutes recorded. The talk will explain how the dataset can be used for > research, highlight the importance of considering offline meetings among > Wikipedians, and place these insights within the context of addressing > gender gaps within Wikipedia. > > > Best, > > Kinneret > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > > > _______________________________________________ Wiki-research-l mailing list -- wiki-research-l@lists.wikimedia.org To unsubscribe send an email to wiki-research-l-le...@lists.wikimedia.org
