Hello everyone, Just a reminder that the Wikimedia Research Showcase will be happening in about 30 minutes.
Thank you! On Thu, Sep 13, 2018 at 1:43 PM, Sarah R <srodl...@wikimedia.org> wrote: > Hi Everyone, > > The next Wikimedia Research Showcase will be live-streamed Wednesday, > September 19 2018 at 11:30 AM (PDT) 18:30 UTC. > > YouTube stream: https://www.youtube.com/watch?v=OY8vZ6wES9o > > As usual, you can join the conversation on IRC at #wikimedia-research. > And, you can watch our past research showcases here. > <https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#Upcoming_Showcase> > > Hope to see you there! > > This month's presentations is: > > The impact of news exposure on collective attention in the United States > during the 2016 Zika epidemicBy *Michele Tizzoni, André Panisson, Daniela > Paolotti, Ciro Cattuto*In recent years, many studies have drawn attention > to the important role of collective awareness and human behaviour during > epidemic outbreaks. A number of modelling efforts have investigated the > interaction between the disease transmission dynamics and human behaviour > change mediated by news coverage and by information spreading in the > population. Yet, given the scarcity of data on public awareness during an > epidemic, few studies have relied on empirical data. Here, we use > fine-grained, geo-referenced data from three online sources - Wikipedia, > the GDELT Project and the Internet Archive - to quantify population-scale > information seeking about the 2016 Zika virus epidemic in the U.S., > explicitly linking such behavioural signal to epidemiological data. > Geo-localized Wikipedia pageview data reveal that visiting patterns of > Zika-related pages in Wikipedia were highly synchronized across the United > States and largely explained by exposure to national television broadcast. > Contrary to the assumption of some theoretical models, news volume and > Wikipedia visiting patterns were not significantly correlated with the > magnitude or the extent of the epidemic. Attention to Zika, in terms of > Zika-related Wikipedia pageviews, was high at the beginning of the > outbreak, when public health agencies raised an international alert and > triggered media coverage, but subsequently exhibited an activity profile > that suggests nonlinear dependencies and memory effects in the relationship > between information seeking, media pressure, and disease dynamics. This > calls for a new and more general modelling framework to describe the > interaction between media exposure, public awareness, and disease dynamics > during epidemic outbreaks. > > > Deliberation and resolution on WikipediaA case study of requests for > commentsBy *Amy Zhang, Jane Im*Resolving disputes in a timely manner is > crucial for any online production group. We present an analysis of Requests > for Comments (RfCs), one of the main vehicles on Wikipedia for formally > resolving a policy or content dispute. We collected an exhaustive dataset > of 7,316 RfCs on English Wikipedia over the course of 7 years and conducted > a qualitative and quantitative analysis into what issues affect the RfC > process. Our analysis was informed by 10 interviews with frequent RfC > closers. We found that a major issue affecting the RfC process is the > prevalence of RfCs that could have benefited from formal closure but that > linger indefinitely without one, with factors including participants' > interest and expertise impacting the likelihood of resolution. From these > findings, we developed a model that predicts whether > > -- > Sarah R. Rodlund > Technical Writer, Developer Advocacy > <https://meta.wikimedia.org/wiki/Developer_Advocacy> > srodl...@wikimedia.org > > > > > -- Janna Layton Administrative Assistant - Audiences & Technology
_______________________________________________ Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
