In T331204#8720408, @awight wrote:

In T331204#8700864, @Manuellabubakar wrote:

Please is there anyone that can assist me? I have been on this task for days. I am trying to create the Sankey diagram with the JSON data provided. I have been able to import the data from the API and parse it into a dictionary so I can manipulate the data and visualize it. Right now, I am stuck processing the data, it keeps giving me error messages which show that it is not finding the correct path. I have tried to debug or get an alternative but it is not working.

Hi, it sounds like you're on the right track! Please feel free to read through other participants' scripts, for example @Abhishek02bhardwaj's https://github.com/Abhishek02bhardwaj/Flow-Diagrams-Illustrating-Translation-Imbalances/blob/main/sankey%20diagram%20all%20included.R which shows how the data can be wired through R. Is that the language you're using?

Also please reach out in Zulip if you're still stuck, and we can have more of a real-time chat there.

Pasting the actual errors will be helpful, as was mentioned already.

In T328597#8711385, @Zepha_W wrote:

Hi everyone. I am Zepha, an Outreachy intern from Uganda and I'm excited to be a part of this community. I look forward to working with all of you and making meaningful contributions to Wikimedia.

Thank you for the feedback @Simulo @awight, very much appreciated.

Good day @awight @Simulo
Please find my contribution to this task below. Feedback will be very much appreciated to enable me iterate on what I have done.
I have also attached an etherpad link to the documentation of this contribution at the end of this message.

@Simulo @awight I have extensively read the article “Digital Divisions of Labor and Informational Magnetism: Mapping Participation in Wikipedia.” and written my hypothesis with regards to patterns that are expected in a dataset between different Wikipedias following the tasks instruction.

Please is there anyone that can assist me? I have been on this task for days. I am trying to create the Sankey diagram with the JSON data provided. I have been able to import the data from the API and parse it into a dictionary so I can manipulate the data and visualize it. Right now, I am stuck processing the data, it keeps giving me error messages which show that it is not finding the correct path. I have tried to debug or get an alternative but it is not working.
@Simulo @awight or anyone that can please assist

In T328597#8684633, @Anshika_bhatt_20 wrote:

Hello, I'm in the process of recording my work in progress contribution, but I'm not sure which URL to include in the submission form. I was wondering if anyone knows which link to use? I want to make sure that I'm providing the most relevant and useful URL. @awight @Simulo @srishakatux

In T328597#8685018, @Maryam_Gbemisola wrote:

I have completed a short survey for content Translation. Do I drop the link for review or I will record it as a contribution?

In T328597#8684939, @2023_ wrote:

In T328597#8684817, @2023_ wrote:

In T328597#8684804, @Manuellabubakar wrote:

In T328597#8684792, @2023_ wrote:

Hello everyone. I am Keith Agufa an Outreachy intern and I'm excited to be here and look forward to working with all of you and making meaningful contributions to Wikimedia.

Hi Keith, welcome to Wikimedia. Please scroll to the top to get more details about this project. There are also a couple of mini tasks provided. You can start working on anyone to get started on making a contribution.

Thanks for the guide

where do i make my contributions?

Hi Keith, just like @Successoghogho has mentioned you can post the link to your work here but from what I got on outreachy website, you can also record your contribution via this link: https://www.outreachy.org/outreachy-may-2023-internship-cohort/communities/wikimedia/research-imbalances-in-translation-between-languag/contributions/

In T328597#8684792, @2023_ wrote:

Hello everyone. I am Keith Agufa an Outreachy intern and I'm excited to be here and look forward to working with all of you and making meaningful contributions to Wikimedia.

In T328597#8683717, @Eberey wrote:

@Manuellabubakar. Thank you , I am utmost grateful for yoir kind gesture.
I have been able make a contribution on one of the microwaves and I am waiting for feedback.
But I will like to ask if I can go ahead and record the contribution made here on the outreachy platform and also make a final application as stated on the outreachy platform also.

In T328597#8683184, @Eberey wrote:

Hi, there project mentors! I'm Ebere, an outreachy applicant and I'm excited to explore, and make meaningful contributions to wikimedia and collaborate with the community to make meaningful improvements to the project.

Hi @awight and @Simulo, please find the link to my submission for the survey task below. I also factored in the feedback @Simulo gave to others as well

In T331207#8677994, @Simulo wrote:

Thank you for your answers, I would summarize my feedback here:

General concept: It helps to know what you want to find out and particularly, what your assumptions are. If you know your assumptions, you can put them to a test. We broadly wrote "The goal of the survey is to learn more about how this software is used" but that is pretty vague, maybe actually a question for a qualitative study. How do you think people translate? Can you learn something about translations from published research that informs your assumptions? With assumptions and questions about them you can focus your survey questions and the survey design.

Introduction: This is very important as it is what participants can use to see if they want to participate or not. Give the purpose of the survey but avoid merely repeating questions you are going to ask. Check if the language is clear. In this case, it might be tempting to use e.g. "qualitative" and "quantitative" here, but are reseracher jargon that might be unfamiliar to the participants.

Questions: Aim to make them both a) short and clear b) self-contained, so they can be understood without reading previous questions

Answers: As important as the questions you ask are the answers you allow…

Age: People might not like to give their age in years for various reasons, so age ranges are a good practice. The need to be unambigous: 20-30, 30-40 are ambigous – what do I check when I am 30? Better: 20-29, 30-39 or 21-30, 31-40

Gender: "How to Do Better with Gender on Surveys: A Guide for HCI Researchers" is my go-to resource (however, this does not mean that you need to take this route; some people might also opt for an open text field (in which case you need to think about how to analyse that) or not ask gender at all)

Nationality/Country: Important to keep in mind that the state controlling the territorry they are on might be different than the nation they see themselves belonging to.

Languages: Not easy, because it is unclear what skill level is meant. You could also set a definition like "good enough to write a Wikipedia article in that language" (which is not a perfect criterion, but at least something). If it is important to you, you could ask for their proficiency level. If that makes sense depends on your research interest (you can use more powerful analysis methods with rank-able items like a proficiency scale rather than a binary competent/not-competent scale, but it is more difficult to answer, so the question if it is worth it)

Reasons for translations, motivations etc.: To ask this you should have some good hypothesis of what you can to do with the data. As merely descriptive data of how participants are like they are not very informative (they depend on how people interpret them, how desireable the answers are etc.). They can be useful if you have an hypothesis like "people who are motivated by increasing coverage in their native language edit smaller wikipedias" (which would not be surprising, but can be tested)

Asking for frequencies: To better compare these, give some hints what you mean: "In the last month, how often did you…": Never/ 1-2 times/3-10 times/11-50 times/ more than 51 times (there are different scales you can use – look at some examples)

In T328597#8675741, @awight wrote:

Hi, thank you for reaching out at the program beginning! For chatting and meta-discussion about the project, please find me under my real name (Adam Wight) on Zulip.

If you want to engage with the subject matter already, we've listed some mini-tasks above for your consideration. Feel free to try out your ideas in any one of these areas! The tasks were written to be easily shared and can be accomplished through many valid approaches, so don't be put off if someone else has started commenting.