Hello everyone, Just a quick reminder that we have a very interesting showcase on *Wikipedia for Political and Election Analysis *coming up later *today at **9:30 AM PST / 16:30 UTC*. You are welcome to join us and watch via the YouTube stream: https://youtube.com/live/61j55R7UZZA?feature=share.
Best, Kinneret On Fri, Oct 11, 2024 at 7:55 PM Kinneret Gordon <[email protected]> wrote: > Hi all, > > The next Research Showcase will be live-streamed next Wednesday > October 16, at 9:30 AM PST / 16:30 UTC. Find your local time here > <https://zonestamp.toolforge.org/1729096200>. With numerous elections > taking place all around the world this year, the theme for this showcase is > *Wikipedia for Political and Election Analysis*. > > You are welcome to watch via the YouTube stream: > https://youtube.com/live/61j55R7UZZA?feature=share. As usual, you can > join the conversation in the YouTube chat as soon as the showcase goes > live. > > This month's presentations: > *Throw Your Hat in the Ring (of Wikipedia): **Exploring Urban-Rural > Disparities in Local Politicians' Information Supply*By *Akira Matsui, > Yokohama National University*This talk explores the socio-economic > factors contributing to disparities in the supply of local political > information on Wikipedia. Using a dataset of politicians who ran for local > elections in Japan, the research investigates the relationship between > socio-economic status and creating and revising politicians' Wikipedia > pages. The study reveals that areas with different socio-economic > backgrounds, such as employment industries and age distribution, exhibit > distinct patterns in information supply. The findings underscore the impact > of regional socio-economic factors on digital platforms and highlight > potential vulnerabilities in information access for political content.Party > positions from Wikipedia classifications of party ideologyBy *Michael > Herrmann, University of Konstanz*We develop a new measure of party > position based on a scaling of ideology tags supplied in infoboxes on > political parties' Wikipedia pages. Assuming a simple model of tag > assignment, we estimate the locations of parties and ideologies in a common > space. We find that the recovered scale can be interpreted in familiar > terms of "left versus right." Estimated party positions correlate well with > ratings of parties' positions from extant large-scale expert surveys, most > strongly with ratings of general left-right ideology. Party position > estimates also show high stability in a test-retest scenario. Our results > demonstrate that a Wikipedia-based approach yields valid and reliable > left-right scores comparable to scores obtained via conventional expert > coding methods. It thus provides a measure with potentially unlimited party > coverage. Our measurement strategy is also applicable to other entities. > Best,Kinneret > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation <https://wikimediafoundation.org/> > > > >
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