Hi everyone, This month's showcase focused on *supporting multimedia on Wikipedia* will start in about 45 minutes. Please join us at https://www.youtube.com/watch?v=wpSQD9Bc8Ek.
On Tue, Apr 16, 2024 at 8:25 AM Kinneret Gordon <kgor...@wikimedia.org> wrote: > Hi everyone, > > > The next Research Showcase will be live-streamed tomorrow Wednesday, > April 17, at 9:30 AM PST / 16:30 UTC. Find your local time here. The > theme for this showcase is Supporting Multimedia on Wikipedia. > > You are welcome to watch via the YouTube stream: > https://www.youtube.com/watch?v=wpSQD9Bc8Ek. As usual, you can join > the conversation in the YouTube chat as soon as the showcase goes > live. > > This month's presentations: > > Towards image accessibility solutions grounded in communicative principles > > By Elisa Kreiss > > Images have become an omnipresent communicative tool -- and this is no > exception on Wikipedia. However, the undeniable benefits they carry > for sighted communicators turns into a serious accessibility challenge > for people who are blind or have low vision (BLV). BLV users often > have to rely on textual descriptions of those images to equally > participate in an ever-increasing image-dominated online lifestyle. In > this talk, I will present how framing accessibility as a communication > problem highlights important ways forward in redefining image > accessibility on Wikipedia. I will present the Wikipedia-based dataset > Concadia and use it to discuss the successes and shortcomings of image > captions and alt texts for accessibility, and how the usefulness of > accessibility descriptions is fundamentally contextual. I will > conclude by highlighting the potential and risks of AI-based solutions > and discussing implications for different Wikipedia editing > communities. > > > Automatic Multi-Path Web Story Creation from a Structural Article > > By Daniel Nkemelu > > Web articles such as Wikipedia serve as one of the major sources of > knowledge dissemination and online learning. However, their in-depth > information--often in a dense text format--may not be suitable for > mobile browsing, even in a responsive user interface. We propose an > automatic approach that converts a structured article of any length > into a set of interactive Web Stories that are ideal for mobile > experiences. We focused on Wikipedia articles and developed > Wiki2Story, a pipeline based on language and layout models, to > demonstrate the concept. Wiki2Story dynamically slices an article and > plans one to multiple Story paths according to the document hierarchy. > For each slice, it generates a multi-page summary Story composed of > text and image pairs in visually appealing layouts. We derived design > principles from an analysis of manually created Story practices. We > executed our pipeline on 500 Wikipedia documents and conducted user > studies to review selected outputs. Results showed that Wiki2Story > effectively captured and presented salient content from the original > articles and sparked interest in viewers. > > > -- > > Kinneret Gordon > > Lead Research Community Officer > > Wikimedia Foundation >
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