Hi all,
A friendly reminder that this event will be starting in about three hours.
Best,
Emily
On Thu, Apr 13, 2023 at 2:55?PM Emily Lescak <elescak@wikimedia.org> wrote:
> Hi all,
>
> The next Research Showcase, with the theme of Images on Wikipedia, will be
> live-streamed Wednesday, April 19, at 16:30 UTC. Find your local time here
> <https://zonestamp.toolforge.org/1681921857>.
>
> YouTube stream: https://www.youtube.com/watch?v=vW0waU-QArU
>
> You can join the conversation on IRC at #wikimedia-research or on the
> YouTube chat.
>
> This month's presentations:
> A large scale study of reader interactions with images on WikipediaBy *Daniele
> Rama, University of Turin*Wikipedia is the largest source of free
> encyclopedic knowledge and one of the most visited sites on the Web. To
> increase reader understanding of the article, Wikipedia editors add images
> within the text of the article’s body. However, despite their widespread
> usage on web platforms and the huge volume of visual content on Wikipedia,
> little is known about the importance of images in the context of free
> knowledge environments. To bridge this gap, we collect data about English
> Wikipedia reader interactions with images during one month and perform the
> first large-scale analysis of how interactions with images happen on
> Wikipedia. First, we quantify the overall engagement with images, finding
> that one in 29 pageviews results in a click on at least one image, one
> order of magnitude higher than interactions with other types of article
> content. Second, we study what factors associate with image engagement and
> observe that clicks on images occur more often in shorter articles and
> articles about visual arts or transports and biographies of less well-known
> people. Third, we look at interactions with Wikipedia article previews and
> find that images help support reader information need when navigating
> through the site, especially for more popular pages. The findings in this
> study deepen our understanding of the role of images for free knowledge and
> provide a guide for Wikipedia editors and web user communities to enrich
> the world’s largest source of encyclopedic knowledge.
>
> - Paper?
> https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-021-00312-8
>
>
> Visual gender biases in Wikipedia? A systematic evaluation across the ten
> most spoken languagesBy *Pablo Beytia, Catholic University of Chile*The
> existing research suggests a significant gender gap in Wikipedia
> biographical articles, with a minimal representation of women and gender
> asymmetries in the textual content. However, the visual aspects of this gap
> (e.g., image volume and quality) have received little attention. This study
> examined asymmetries between women's and men's biographies, exploring
> written and visual content across the ten most widely spoken languages. The
> cross-lingual analysis reveals that (1) the most salient male biases appear
> when editors select which personalities should have a Wikipedia page, (2)
> the trends in written and visual content are dissimilar, (3) male
> biographies tend to have more images across languages, and (4) female
> biographies have better visual quality on average. The open database of
> this study provides eight indicators of gender asymmetries in ten
> occupational domains and ten languages. That information allows for a
> granular view of gender biases, as well as exploring more macroscopic
> phenomena, such as the similarity between Wikipedia versions according to
> their gender bias structures.
>
> - Papers?
>
> Beytía, P., Agarwal, P., Redi, M., & Singh, V. K. (2022). Visual Gender
> Biases in Wikipedia: A Systematic Evaluation across the Ten Most Spoken
> Languages. Proceedings of the International AAAI Conference on Web and
> Social Media, 16(1), 43-54. https://doi.org/10.1609/icwsm.v16i1.19271
> https://ojs.aaai.org/index.php/ICWSM/article/view/19271Beytía, P. &
> Wagner, C. (2022). Visibility layers: a framework for systematizing the
> gender gap in Wikipedia content. Internet Policy Review, 11(1).
> https://doi.org/10.14763/2022.1.1621
> https://policyreview.info/articles/analysis/visibility-layers-framework-systematising-gender-gap-wikipedia-content
> You can watch our past Research Showcases here:
> https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
>
> Hope you can join us!
>
> Warm regards,
> Emily
>
> --
> Emily Lescak (she / her)
> Senior Research Community Officer
> The Wikimedia Foundation
>
A friendly reminder that this event will be starting in about three hours.
Best,
Emily
On Thu, Apr 13, 2023 at 2:55?PM Emily Lescak <elescak@wikimedia.org> wrote:
> Hi all,
>
> The next Research Showcase, with the theme of Images on Wikipedia, will be
> live-streamed Wednesday, April 19, at 16:30 UTC. Find your local time here
> <https://zonestamp.toolforge.org/1681921857>.
>
> YouTube stream: https://www.youtube.com/watch?v=vW0waU-QArU
>
> You can join the conversation on IRC at #wikimedia-research or on the
> YouTube chat.
>
> This month's presentations:
> A large scale study of reader interactions with images on WikipediaBy *Daniele
> Rama, University of Turin*Wikipedia is the largest source of free
> encyclopedic knowledge and one of the most visited sites on the Web. To
> increase reader understanding of the article, Wikipedia editors add images
> within the text of the article’s body. However, despite their widespread
> usage on web platforms and the huge volume of visual content on Wikipedia,
> little is known about the importance of images in the context of free
> knowledge environments. To bridge this gap, we collect data about English
> Wikipedia reader interactions with images during one month and perform the
> first large-scale analysis of how interactions with images happen on
> Wikipedia. First, we quantify the overall engagement with images, finding
> that one in 29 pageviews results in a click on at least one image, one
> order of magnitude higher than interactions with other types of article
> content. Second, we study what factors associate with image engagement and
> observe that clicks on images occur more often in shorter articles and
> articles about visual arts or transports and biographies of less well-known
> people. Third, we look at interactions with Wikipedia article previews and
> find that images help support reader information need when navigating
> through the site, especially for more popular pages. The findings in this
> study deepen our understanding of the role of images for free knowledge and
> provide a guide for Wikipedia editors and web user communities to enrich
> the world’s largest source of encyclopedic knowledge.
>
> - Paper?
> https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-021-00312-8
>
>
> Visual gender biases in Wikipedia? A systematic evaluation across the ten
> most spoken languagesBy *Pablo Beytia, Catholic University of Chile*The
> existing research suggests a significant gender gap in Wikipedia
> biographical articles, with a minimal representation of women and gender
> asymmetries in the textual content. However, the visual aspects of this gap
> (e.g., image volume and quality) have received little attention. This study
> examined asymmetries between women's and men's biographies, exploring
> written and visual content across the ten most widely spoken languages. The
> cross-lingual analysis reveals that (1) the most salient male biases appear
> when editors select which personalities should have a Wikipedia page, (2)
> the trends in written and visual content are dissimilar, (3) male
> biographies tend to have more images across languages, and (4) female
> biographies have better visual quality on average. The open database of
> this study provides eight indicators of gender asymmetries in ten
> occupational domains and ten languages. That information allows for a
> granular view of gender biases, as well as exploring more macroscopic
> phenomena, such as the similarity between Wikipedia versions according to
> their gender bias structures.
>
> - Papers?
>
> Beytía, P., Agarwal, P., Redi, M., & Singh, V. K. (2022). Visual Gender
> Biases in Wikipedia: A Systematic Evaluation across the Ten Most Spoken
> Languages. Proceedings of the International AAAI Conference on Web and
> Social Media, 16(1), 43-54. https://doi.org/10.1609/icwsm.v16i1.19271
> https://ojs.aaai.org/index.php/ICWSM/article/view/19271Beytía, P. &
> Wagner, C. (2022). Visibility layers: a framework for systematizing the
> gender gap in Wikipedia content. Internet Policy Review, 11(1).
> https://doi.org/10.14763/2022.1.1621
> https://policyreview.info/articles/analysis/visibility-layers-framework-systematising-gender-gap-wikipedia-content
> You can watch our past Research Showcases here:
> https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
>
> Hope you can join us!
>
> Warm regards,
> Emily
>
> --
> Emily Lescak (she / her)
> Senior Research Community Officer
> The Wikimedia Foundation
>