Hi all,
The next Research Showcase will be live-streamed on Wednesday, November 15, at 9:30 AM PST / 16:30 UTC. Find your local time here https://zonestamp.toolforge.org/1700069400. This showcase will focus on *Bibliometrics*, just in time for the GLAM Wiki conference happening this week in Montevideo.
YouTube stream: https://www.youtube.com/watch?v=IxNa6vgMCDY. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live.
This month's presentations: Gender and country biases in Wikipedia citations to scholarly publications By *Chaoqun Ni, University of Wisconsin-Madison*Ensuring Wikipedia cites scholarly publications based on quality and relevancy without biases is critical to credible and fair knowledge dissemination. We investigate gender- and country-based biases in Wikipedia citation practices using linked data from the Web of Science and a Wikipedia citation dataset. Using coarsened exact matching, we show that publications by women are cited less by Wikipedia than expected, and publications by women are less likely to be cited than those by men. Scholarly publications by authors affiliated with non-Anglosphere countries are also disadvantaged in getting cited by Wikipedia, compared with those by authors affiliated with Anglosphere countries. The level of gender- or country-based inequalities varies by research field, and the gender-country intersectional bias is prominent in math-intensive STEM fields. To ensure the credibility and equality of knowledge presentation, Wikipedia should consider strategies and guidelines to cite scholarly publications independent of the gender and country of authors.Exploring Social Attention Dynamics through WikipediaBy *Wenceslao Arroyo-Machado, Universidad de Granada*The untapped potential of Wikipedia as a mirror of society's evolving interests and concerns is explored. Recognizing Wikipedia as a vast, interactive repository of human knowledge, the investigation focuses on how patterns of edits, views, and discussions within Wikipedia articles, as well as their features, can serve as real-time indicators of public interest and engagement. Key findings reveal that Wikipedia is not just an information source but a reflection of collective concerns, capturing significant trends and shifts in societal focus. Additionally, it allows for the highlighting of both local and international interests. These implications are far-reaching, offering valuable insights for the Wikipedia community, academic researchers, policymakers, and the general public. Understanding the dynamics of public engagement on Wikipedia can inform content strategies, shape research agendas, and guide public policy, while also providing a deeper appreciation of the impact and significance of contributions made by the global Wikipedia community. You can also watch our past research showcases here: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
Best, Kinneret
Hi All,
We will be starting the research showcase focused on *Bibliometrics* in approximately 30 minutes. Please join us! YouTube stream: https://www.youtube.com/watch?v=IxNa6vgMCDY.
On Sun, Nov 12, 2023 at 4:43 PM Kinneret Gordon kgordon@wikimedia.org wrote:
Hi all,
The next Research Showcase will be live-streamed on Wednesday, November 15, at 9:30 AM PST / 16:30 UTC. Find your local time here https://zonestamp.toolforge.org/1700069400. This showcase will focus on *Bibliometrics*, just in time for the GLAM Wiki conference happening this week in Montevideo.
YouTube stream: https://www.youtube.com/watch?v=IxNa6vgMCDY. As usual, you can join the conversation in the YouTube chat as soon as the showcase goes live.
This month's presentations: Gender and country biases in Wikipedia citations to scholarly publications By *Chaoqun Ni, University of Wisconsin-Madison*Ensuring Wikipedia cites scholarly publications based on quality and relevancy without biases is critical to credible and fair knowledge dissemination. We investigate gender- and country-based biases in Wikipedia citation practices using linked data from the Web of Science and a Wikipedia citation dataset. Using coarsened exact matching, we show that publications by women are cited less by Wikipedia than expected, and publications by women are less likely to be cited than those by men. Scholarly publications by authors affiliated with non-Anglosphere countries are also disadvantaged in getting cited by Wikipedia, compared with those by authors affiliated with Anglosphere countries. The level of gender- or country-based inequalities varies by research field, and the gender-country intersectional bias is prominent in math-intensive STEM fields. To ensure the credibility and equality of knowledge presentation, Wikipedia should consider strategies and guidelines to cite scholarly publications independent of the gender and country of authors.Exploring Social Attention Dynamics through WikipediaBy *Wenceslao Arroyo-Machado, Universidad de Granada*The untapped potential of Wikipedia as a mirror of society's evolving interests and concerns is explored. Recognizing Wikipedia as a vast, interactive repository of human knowledge, the investigation focuses on how patterns of edits, views, and discussions within Wikipedia articles, as well as their features, can serve as real-time indicators of public interest and engagement. Key findings reveal that Wikipedia is not just an information source but a reflection of collective concerns, capturing significant trends and shifts in societal focus. Additionally, it allows for the highlighting of both local and international interests. These implications are far-reaching, offering valuable insights for the Wikipedia community, academic researchers, policymakers, and the general public. Understanding the dynamics of public engagement on Wikipedia can inform content strategies, shape research agendas, and guide public policy, while also providing a deeper appreciation of the impact and significance of contributions made by the global Wikipedia community. You can also watch our past research showcases here: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
Best, Kinneret
--
Kinneret Gordon
Lead Research Community Officer
Wikimedia Foundation https://wikimediafoundation.org/
wiki-research-l@lists.wikimedia.org