Hey all, a reminder that the livestream of our monthly research showcase starts in 45 minutes (11.30 PT)
- Video: https://www.youtube.com/watch?v=L-1uzYYneUo - IRC: #wikimedia-research - Abstracts: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#January_2018 Dario On Tue, Jan 16, 2018 at 9:45 AM, Lani Goto <lg...@wikimedia.org> wrote: > Hi Everyone, > > The next Research Showcase will be live-streamed this Wednesday, January > 17, 2018 at 11:30 AM (PST) 19:30 UTC. > > YouTube stream: https://www.youtube.com/watch?v=L-1uzYYneUo > > As usual, you can join the conversation on IRC at #wikimedia-research. And, > you can watch our past research showcases here. > > This month's presentation: > > *What motivates experts to contribute to public information goods? A field > experiment at Wikipedia* > By Yan Chen, University of Michigan > Wikipedia is among the most important information sources for the general > public. Motivating domain experts to contribute to Wikipedia can improve > the accuracy and completeness of its content. In a field experiment, we > examine the incentives which might motivate scholars to contribute their > expertise to Wikipedia. We vary the mentioning of likely citation, public > acknowledgement and the number of views an article receives. We find that > experts are significantly more interested in contributing when citation > benefit is mentioned. Furthermore, cosine similarity between a Wikipedia > article and the expert's paper abstract is the most significant factor > leading to more and higher-quality contributions, indicating that better > matching is a crucial factor in motivating contributions to public > information goods. Other factors correlated with contribution include > social distance and researcher reputation. > > *Wikihounding on Wikipedia* > By Caroline Sinders, WMF > Wikihounding (a form of digital stalking on Wikipedia) is incredibly > qualitative and quantitive. What makes wikihounding different then > mentoring? It's the context of the action or the intention. However, all > interactions inside of a digital space has a quantitive aspect to it, every > comment, revert, etc is a data point. By analyzing data points > comparatively inside of wikihounding cases and reading some of the cases, > we can create a baseline for what are the actual overlapping similarities > inside of wikihounding to study what makes up wikihounding. Wikihounding > currently has a fairly loose definition. Wikihounding, as defined by the > Harassment policy on en:wp, is: “the singling out of one or more editors, > joining discussions on multiple pages or topics they may edit or multiple > debates where they contribute, to repeatedly confront or inhibit their > work. This is with an apparent aim of creating irritation, annoyance or > distress to the other editor. Wikihounding usually involves following the > target from place to place on Wikipedia.” This definition doesn't outline > parameters around cases such as frequency of interaction, duration, or > minimum reverts, nor is there a lot known about what a standard or > canonical case of wikihounding looks like. What is the average wikihounding > case? This talk will cover the approaches myself and members of the > research team: Diego Saez-Trumper, Aaron Halfaker and Jonathan Morgan are > taking on starting this research project. > > -- > Lani Goto > Project Assistant, Engineering Admin > _______________________________________________ > Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/ > wiki/Mailing_lists/Guidelines and https://meta.wikimedia.org/ > wiki/Wikimedia-l > New messages to: wikimedi...@lists.wikimedia.org > Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l, > <mailto:wikimedia-l-requ...@lists.wikimedia.org?subject=unsubscribe> -- *Dario Taraborelli *Director, Head of Research, Wikimedia Foundation wikimediafoundation.org • nitens.org • @readermeter <http://twitter.com/readermeter>
_______________________________________________ Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
