Hello all,
Quick reminder that we will be starting in less than an hour. Join us at
.
On Fri, Mar 15, 2024 at 6:19 PM Kinneret Gordon <kgordon(a)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/>