Growth/Personalized first day/Structured tasks/Add an image/ar

تُترجم هذه الصفحة العمل على المهمّة المهيكلة "إضافة صورة"، التي هي نوع من المهام المهيكلة التي سيُوفرها فريق النمو عبر لوحة المستخدم الخاصة بالوافدين الجدد. يفكّر فريق الأندرويد أيضا بمهمّة مماثلة في تطبيقة ويكيبييا على الأندرويد باستخدام نفس المكوّنات الأساسية. النقاشات والتحديثات على هذه الصفحة ذات صلة بكلّ من الفريقين.

تحتوي الصفحة على أهداف رئيسة وتصاميم وأسئلة مفتوحة وقرارات.

سيتم نشر معظم التحديثات التدريجية الجاري عليها العمل في الصفحة العامة لـتحديثات فريق النمو، مع نشر بعض التحديثات الكبرى أو المخصصة هنا.

الوضع الحالي

 * 2020-06-22: التفكير الأوّلي حول إنجاز خوارزمية بسيطة لتوصية صور
 * 2020-09-08: تقييم المحاولة الأولى باللغات الإنقليزية والفرنسية والعربية والكورية والتشيكية والفيتنامية
 * 2020-09-30: تقييم المحاولة الثانية عند خوارزمية تطابق بالإنقليزية والفرنسية والعربية والكورية والتشيكية والفيتنامية
 * 2020-10-26: محادثات هندسية داخلية حول قابلية التنفيذ لخدمة اقتراح الصور
 * 2020-12-15: إجراء جولة أولى من اختبارات المستخدمين للبدء في فهم ما إذا كان الوافدون الجدد قد ينجحون في هذه المهمة

ملخص
الهدف من المهام المهيكلة هو تقسيم مهام التحرير إلى مسارات عمل خطوة بخطوة من شأنها أن تناسب الوافدين الجدد وان تناسب الأجهزة المحمولة. يعتقد فريق النمو أنّ تقديم هذه الشاكلة من مسارات العمل سيخوّل عدد أكبر من الأشخاص من البَدْء بالمساهمة في ويكيبيديا، بعضهم سيتعلّم القيام بتعديلات جوهريّة والانخراط مع مجتمعاتهم. بعد النقاش حول المهام المهيكلة مع المجتمعات، قرّرنا إنشاء المهمّة المهيكلة الأولى: "إضافة وصلة".

Even as we build that first task, we have been thinking about what a next structured task could be, and we think that adding images could be a good fit for newcomers. The idea is that a simple algorithm would recommend images from Commons to be placed on articles that have no images. To start with, it would use only existing connections that can be found in Wikidata, and newcomers would use their judgment to place the image on the article or not.

We know that there are many open questions around how this would work, many potential reasons that it might not go right. That's why we are hoping to hear from lots of community members and have an ongoing discussion as we decide how to proceed.

لماذا الصور؟
البحث عن مساهمات كبيرة

عندما ناقشنا لأول مرة المهام المنظمة مع أعضاء المجتمع، أشار الكثيرون إلى أن إضافة روابط ويكي ليس نوعًا عالي القيمة من التحرير بشكل خاص. طرح أعضاء المجتمع أفكارًا حول كيفية قيام القادمين الجدد بتقديم المزيد من المساهمات الجوهرية. أحد الأفكار كان إضافة الصور. تحتوي ويكيميديا كومنز على 65 مليون صورة، ولكن في العديد من الويكيات، أكثر من 50٪ من المقالات لا تحتوي على صور. نعتقد أن العديد من الصور من كومنز يمكن أن تجعل ويكيبيديا أكثر وضوحًا بشكل كبير.

الاهتمام من الوافدين الجدد

نعلم أن العديد من الوافدين الجدد مهتمون بإضافة الصور إلى ويكيبيديا. "إضافة صورة" هو رد شائع يقدمه القادمون الجدد في استطلاع الترحيب عن سبب إنشائهم لحسابهم. نرى أيضًا أن أكثر أسئلة لوحة المساعدة شيوعًا يتعلق بكيفية إضافة الصور، وهذا صحيح عبر جميع مواقع الويكي التي نعمل معها. على الرغم من أن معظم هؤلاء الوافدين الجدد ربما يجلبون صورتهم الخاصة التي يريدون إضافتها، فإن هذا يلمح إلى كيف يمكن أن تكون الصور جذابة ومثيرة. وهذا أمر منطقي، بالنظر إلى العناصر الأخرى للصور للمنصات الأخرى التي يشارك فيها القادمون الجدد - أشياء مثل انستجرام وفيسبوك.

صعوبة التعامل مع الصور

تعكس أسئلة طلبات المساعدة العديدة حول الصور أن عملية إضافتها إلى المقالات صعبة للغاية. يجب على الوافدين الجدد فهم الفرق بين ويكيبيديا وكومنز، والقواعد المتعلقة بحقوق النشر، والأجزاء الفنية لإدراج الصورة والتعليقات في المكان المناسب. يتطلب العثور على صورة في كومنز لمقال ما مزيدًا من المهارات، مثل المعرفة بويكي بيانات والتصنيفات.

نجاح حملة "صفحات ويكيبيديا تريد صور"

The Wikipedia Pages Wanting Photos campaign (WPWP) was a surprising success: 600 users added images to 85,000 pages. They did this with the assistance of a couple of community tools that identified pages that have no images, and which suggest possible images through Wikidata. This gives us confidence that users can be enthusiastic about adding images and that they can be assisted by tools.

 Taking this all together 

Thinking about all this information together, we think that it could be possible to build an "add an image" structured task that is both fun for newcomers and productive for Wikipedias.

Algorithm
Our ability to make a structured task for adding images depends on whether we can create an algorithm that generates sufficiently good recommendations. We definitely do not want to urge newcomers to add the wrong images to articles, which would cause work for patrollers to clean up after them. Therefore, trying to see if we could make a good algorithm is one of the first things we've worked on.

Logic
We have been working with the Wikimedia Research team, and so far we have been testing an algorithm that prioritizes accuracy and human judgment. Rather than using any computer vision, which can generate unexpected results, it simply aggregates existing information in Wikidata, drawing on connections made by experienced contributors. These are the three main ways that it suggests matches to unillustrated articles:


 * Look at the Wikidata item for the article. If it has an image (P18), choose that image.
 * Look at the Wikidata item for the article. If it has a Commons category associated (P373), choose an image from the category.
 * Look at the articles about the same topic in other language Wikipedias. Choose a lead image from those articles.

The algorithm also includes logic to do things like exclude images that are likely icons or that are present on an article as part of a navbox.

Performance
As of December 2020, we've gone through two rounds of testing the algorithm, each time looking at matches to articles in six languages: English, French, Arabic, Vietnamese, Czech, and Korean. The evaluations were done by our team's ambassadors, who are native speakers in each languages. Looking at 50 matches in each language, we went through and classified them into these groups:

A question that runs throughout the work on an algorithm like this is: how accurate does it need to be? If 75% of matches are good is that enough? Does it need to be 90% accurate? Or could it be as low as 50% accurate? This depends on how good the judgment is of the newcomers using it, and how much patience they have for weak matches. We'll learn more about this when we user test the algorithm with real newcomers.

In the first evaluation, the most important thing is that we found a lot of easy improvements to make to the algorithm, including types of articles and images to exclude. Even without those improvements, about 20-40% of matches were "2s", meaning great matches for the article (depending on the wiki). You can see the full results and notes from the first evaluation here.

For the second evaluation, many improvements were incorporated, and the accuracy increased. Between 50-70% of matches were "2s" (depending on the wiki). But increasing the accuracy can decrease the coverage, i.e. the number of articles for which we can make matches. Using conservative criteria, the algorithm may only be able to suggest tens of thousands of matches in a given wiki, even if that wikis has hundreds of thousands or millions of articles. We believe that that kind of volume would be sufficient to build an initial version of this feature. You can see the full results and notes from the second evaluation here.

We are continuing to make improvements to the algorithm, and in December 2020, we are trying a third evaluation, which you can follow along with here.

Open questions
Images are such an important and visible part of the Wikipedia experience. It is critical that we think hard about how a feature enabling the easy adding of images would work, what the potential pitfalls might be, and what the implications would be for community members. To that end, we have many open questions, and we want to hear of more that community members can bring up.


 * Will our algorithm be sufficiently accurate such that plenty of good matches are provided?
 * What metadata from Commons and the unillustrated article do newcomers need in order to make a decision about whether to add the image?
 * Will newcomers have sufficiently good judgment when looking at recommendations?
 * Will newcomers who don't read English be equally able to make good decisions, given that much of Commons metadata is in English?
 * Will newcomers be able to write good captions to go along with images that they place in the articles?
 * Will newcomers think this task is interesting? Fun? Difficult? Easy? Boring?
 * How exactly should we determine which articles have no images?
 * Where in the unillustrated article should the image be placed? Is it sufficient to put it at the top of the article?
 * How can we be mindful of potential bias in the recommendations, i.e. perhaps the algorithm will make many more matches for topics in Europe and North America.
 * Will such a workflow be a vector for vandalism? How can this be prevented?

Validating the idea


Thinking about the open questions above, in addition to community input, we want to generate some quantitative and qualitative information to help us evaluate the feasibility of building an "add an image" feature. Though we have been evaluating the algorithm amongst staff and Wikimedians, it is important to see how newcomers react to it, and to see how they use their judgment when deciding on whether an image belongs in an article.

To that end, we are going to run tests with usertesting.com, in which people new to Wikipedia editing can go through potential image matches in a prototype and respond "Yes", "No", or "Unsure". We built a quick prototype for the test, backed with real matches from the current algorithm. The prototype just shows one match after another, all in a feed. The images are shown along with all the relevant metadata from Commons:


 * Filename
 * Size
 * Date
 * User
 * Description
 * Caption
 * Categories
 * Tags

Though this may not be what the workflow would be like for real users in the future, the prototype was made so that testers could go through lots of potential matches quickly, generating lots of information.

To try out the interactive prototype, use this link. Note that this prototype is primarily for viewing the matches from the algorithm -- we have not yet thought hard about the actual user experience. It does not actually create any edits. It contains 60 real matches proposed by the algorithm.

Here's what we'll be looking for in the test:


 * 1) Are participants able to confidently confirm matches based on the suggestions and data provided?
 * 2) How accurate are participants at evaluating suggestions? Do they think they are doing a better or worse job than they are actually doing?
 * 3) How do participants feel about the task of adding images to articles this way? Do they find it easy/hard, interesting/boring, rewarding/irrelevant?
 * 4) What information do participants find most valuable in helping them evaluate image and article matches?
 * 5) Are participants able to write good captions for images they deem a match using the data provided?