[Wiki-research-l] Re: You are invited to review the Research Ethics Privacy White Paper

[Leila Zia]

Hi all,

This is a gentle reminder that we are less than 2 weeks away from closing
the *feedback period* for *Research Ethics Privacy Whitepaper*. If you are
a Wiki(m|p)edia researcher or are considering becoming one, this whitepaper
will most likely be relevant to you and your research. We encourage you to
take a look at the draft and provide your feedback through the Meta-Wiki
Discussion page

until
*April 30th, 2024* or by joining us in the upcoming Conversation Hour on 23
April 2024 at 15:00 UTC via
this Google Meet session .

And thanks to those of you who have already provided feedback.

Leila, on behalf of the writing committee

--
Leila Zia
Head of Research
Wikimedia Foundation


On Mon, Apr 8, 2024 at 12:44 PM Eli Asikin-Garmager <
easikingarma...@wikimedia.org> wrote:

> Hello Wikimedia Research Community, Wikipedia researchers,
>
> We invite you to provide feedback to the draft Research Ethics Privacy
> White Paper
> 
> [1] until 30 April 2024.
>
> You can provide your feedback in one of the following ways:
>
>-
>
>The corresponding talk page
>
> 
>[2];
>-
>
>If you require a private space for communicating your feedback, by
>sending an email to research-feedb...@wikimedia.org with “privacy
>white paper” in the subject line;
>-
>
>By participating in a conversation hour on 23 April 2024.
>
>
> –
>
> Context: In 2023, in response to a request
> 
> by English Wikipedia’s Arbitration Committee and after careful scoping, the
> Wikimedia Foundation prioritised writing a whitepaper with two primary
> goals:
>
>1.
>
>Creating a shared understanding among Wikipedia contributors and
>Wikipedia researchers about some of the key considerations for conducting
>ethical research on Wikipedia with a focus on privacy.
>2.
>
>Providing recommendations about how to navigate some of the most
>common privacy challenges Wikipedia researchers or Wikipedia contributors
>run into when conducting or participating in research on Wikipedia.
>
>
> Over the past 6 months, we at the Wikimedia Foundation’s Research team in
> collaboration
> 
> [3] with Dr. Michael Zimmer, and with support from Trust and Safety, have
> worked to create a draft white paper.
>
> We remain committed to our mission to strengthen Wikimedia research
> communities and improve your experience when contributing your expertise to
> the Wikimedia projects. We hope that you support us by providing your
> valuable feedback and help us improve this white paper for you.
>
> Best,
> Eli Asikin-Garmager (Wikimedia Foundation), on behalf of myself and:
>
> Leila Zia (Wikimedia Foundation)
>
> Michael Zimmer (Marquette University)
>
> [1]
> https://meta.wikimedia.org/wiki/Research:Wikimedia_Research_Best_Practices_Around_Privacy_Whitepaper/Draft#
>
> [2]
> https://meta.wikimedia.org/wiki/Research_talk:Wikimedia_Research_Best_Practices_Around_Privacy_Whitepaper/Draft
> [3]
> https://lists.wikimedia.org/hyperkitty/list/wiki-research-l@lists.wikimedia.org/thread/XZ2EHHBDKOQ6X62ICFK7ORE6WFEPF6NL/
>
> --
>
> Eli Asikin-Garmager
>
> Principal Design Researcher (he/him)
>
> Wikimedia Foundation  | Iowa City
>  (UTC -6/-5)
>
> 
>
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[Wiki-research-l] Re: [Wikimedia Research Showcase] Supporting Multimedia on Wikipedia - April 17, 16:30 UTC

[Kinneret Gordon]

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 
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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