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/>
If you use Wikidata data, please read on.
---------- Forwarded message ---------
From: Lydia Pintscher <Lydia.Pintscher(a)wikimedia.de>
Date: Mon, Oct 7, 2024 at 4:41 AM
Subject: [Wikidata] [Survey] Help Shape the Future of Wikidata's Data
Access – We Need Your Feedback!
To: Discussion list for the Wikidata project. <wikidata(a)lists.wikimedia.org>
Hi everyone,
Are you building applications or services using data from Wikidata? We
would love to hear from you!
We are currently researching how to make it easier for developers to
access Wikidata’s data. We have a short survey to better understand
which access methods you are currently using, what issues you have
with them and what we can improve for the future. For more details
please see https://www.wikidata.org/wiki/Wikidata:Usability_and_usefulness/2024-Data_a…
Cheers and thank you!
Lydia
--
Lydia Pintscher - https://lydiapintscher.de - WD:Q18016466
Portfolio Lead for Wikidata
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30-577 11 62-0
https://wikimedia.de
Imagine a world in which every single human being can freely share in
the sum of all knowledge. Help us to achieve our vision!
https://spenden.wikimedia.de
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Vorstände: Franziska Heine, Dr. Christian Humborg
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