Just a reminder that this will be happening on Wednesday! On Thu, Aug 13, 2020 at 9:50 PM Janna Layton <[email protected]> wrote:
> Hi all, > > The next Research Showcase will be live-streamed on Wednesday, August 19, > at 9:30 AM PDT/16:30 UTC, and will be on the theme of readership and > navigation. > > YouTube stream: https://www.youtube.com/watch?v=MeUl0zjHdF8 > > As usual, you can join the conversation on IRC at #wikimedia-research. You > can also watch our past research showcases here: > https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase > > This month's presentations: > > What matters to us most and why? Studying popularity and attention > dynamics via Wikipedia navigation data. > > By Taha Yasseri (University College Dublin), Patrick Gildersleve (Oxford > Internet Institute) > > While Wikipedia research was initially focused on editorial behaviour or > the content to a great extent, soon researchers realized the value of the > navigation data both as a reflection of readers interest and, more > generally, as a proxy for behaviour of online information seekers. In this > talk we will report on various projects in which we utilized pageview > statistics or readers navigation data to study: movies financial success > [1], electoral popularity [2], disaster triggered collective attention [3] > and collective memory [4], general navigation patterns and article typology > [5], and attention patterns in relation to news breakouts. > > - > > [1] Early Prediction of Movie Box Office Success Based on Wikipedia > Activity Big Data. PLoS One (2013). > https://doi.org/10.1371/journal.pone.0071226 > - > > [2] Wikipedia traffic data and electoral prediction: towards > theoretically informed models. EPJ Data Science (2016). > https://doi.org/10.1140/epjds/s13688-016-0083-3 > - > > [3] Dynamics and biases of online attention: the case of aircraft > crashes. Royal Society Open Science (2016). > https://doi.org/10.1098/rsos.160460 > - > > [4] The memory remains: Understanding collective memory in the digital > age. Science Advances (2018). https://doi.org/10.1126/sciadv.1602368 > - > > [5] Inspiration, captivation, and misdirection: Emergent properties in > networks of online navigation. Springer (2018). > https://ora.ox.ac.uk/objects/uuid:73baed3c-d3fe-4200-8e90-2d80b11f21cf > > > > Query for Architecture, Click through Military. Comparing the Roles of > Search and Navigation on Wikipedia > > By Dimitar Dimitrov (GESIS - Leibniz Institute for the Social Sciences) > > As one of the richest sources of encyclopedic information on the Web, > Wikipedia generates an enormous amount of traffic. In this paper, we study > large-scale article access data of the English Wikipedia in order to > compare articles with respect to the two main paradigms of information > seeking, i.e., search by formulating a query, and navigation by following > hyperlinks. To this end, we propose and employ two main metrics, namely (i) > searchshare -- the relative amount of views an article received by search > --, and (ii) resistance -- the ability of an article to relay traffic to > other Wikipedia articles -- to characterize articles. We demonstrate how > articles in distinct topical categories differ substantially in terms of > these properties. For example, architecture-related articles are often > accessed through search and are simultaneously a "dead end" for traffic, > whereas historical articles about military events are mainly navigated. We > further link traffic differences to varying network, content, and editing > activity features. Lastly, we measure the impact of the article properties > by modeling access behavior on articles with a gradient boosting approach. > The results of this paper constitute a step towards understanding human > information seeking behavior on the Web. > > > - > > Different Topic, Different Traffic: How Search and Navigation > Interplay on Wikipedia. Journal of Web Science (2019). > https://doi.org/10.34962/jws-71 > > > -- > Janna Layton (she/her) > Administrative Associate - Product & Technology > Wikimedia Foundation <https://wikimediafoundation.org/> > -- Janna Layton (she/her) Administrative Associate - Product & Technology Wikimedia Foundation <https://wikimediafoundation.org/>
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