In T331207#8699458, @2023_ wrote:

I've made some changes and would gladly appreciate any corrections.

https://etherpad.wikimedia.org/p/Keith

I've made some changes and would gladly appreciate any corrections.

In T331199#8685253, @2023_ wrote:

Graham, Straumann, and Hogan (2015) in their paper "Digital Divisions of Labor and Informational Magnetism: Mapping Participation in Wikipedia" examine patterns of participation and collaboration within the English Wikipedia community. The authors debate that Wikipedia's open and collaborative structure enables a range of actors to contribute to the project, but this also leads to a division of labor, with different groups of users taking on different roles and responsibilities.
To explore the divisions of labor, they evaluate user contribution data from the English Wikipedia, looking at patterns of participation across different types of pages and content areas. They find that while the majority of contributions are made by a small group of highly active users, there is also a significant number of less active users who make valuable contributions. The authors also find evidence of informational magnetism, whereby certain pages or topics attract more contributions and attention than others.
In a dataset of translations between different Wikipedia, we might expect to see similar patterns of participation and division of labor. Here are some hypotheses and informed guesses:

1. Highly active users will dominate the translation process, but a significant number of less active users will also make contributions. As depicted in the English Wikipedia dataset, the authors found a small group of highly active users tend to dominate contribution efforts, but there is also a number of less active users who still make important contributions. We expect to see a similar pattern in translations dataset, with a few users doing the bulk of the work, but many others making smaller contributions.
2. Different language communities will have different patterns of participation and division of labor. The authors suggest that different types of pages and content areas in the English Wikipedia have different patterns of participation, and this may be true across different languages. For example, some language Wikipedia may have a strong focus on particular topics, leading to more participation in those areas, while others may have a broader focus.
3. Translations of popular pages will attract more attention and participation than less popular pages. The authors find evidence of informational magnetism in the English Wikipedia, with certain pages that attract more contributions and attention than others. We might expect to see a similar pattern in translations between different Wikipedia, with popular pages attracting more attention and participation than less popular pages.
4. There may be differences in the types of users who contribute to translations versus those who contribute to the original article. The authors note that there are different types of users who contribute to the English Wikipedia, including those who focus on creating new content and those who focus on editing and maintaining existing content. We might expect to see similar patterns in a dataset of translations, with some users specializing in translating content and others focusing on editing and improving translated content.
5. We might expect to see patterns of power and influence between different Wikipedia, as some languages or topics are more dominant than others. The authors note that "Wikipedia articles in English have higher page views and are more widely cited than articles in other languages."

Overall, the patterns and hypotheses that we might expect to see in a dataset of translations between different Wikipedia are likely to be shaped by the same factors that influence participation and collaboration in the English Wikipedia.

Graham, Straumann, and Hogan (2015) in their paper "Digital Divisions of Labor and Informational Magnetism: Mapping Participation in Wikipedia" examine patterns of participation and collaboration within the English Wikipedia community. The authors debate that Wikipedia's open and collaborative structure enables a range of actors to contribute to the project, but this also leads to a division of labor, with different groups of users taking on different roles and responsibilities.
To explore the divisions of labor, they evaluate user contribution data from the English Wikipedia, looking at patterns of participation across different types of pages and content areas. They find that while the majority of contributions are made by a small group of highly active users, there is also a significant number of less active users who make valuable contributions. The authors also find evidence of informational magnetism, whereby certain pages or topics attract more contributions and attention than others.
In a dataset of translations between different Wikipedia, we might expect to see similar patterns of participation and division of labor. Here are some hypotheses and informed guesses:

1. Highly active users will dominate the translation process, but a significant number of less active users will also make contributions. As depicted in the English Wikipedia dataset, the authors found a small group of highly active users tend to dominate contribution efforts, but there is also a number of less active users who still make important contributions. We expect to see a similar pattern in translations dataset, with a few users doing the bulk of the work, but many others making smaller contributions.
2. Different language communities will have different patterns of participation and division of labor. The authors suggest that different types of pages and content areas in the English Wikipedia have different patterns of participation, and this may be true across different languages. For example, some language Wikipedia may have a strong focus on particular topics, leading to more participation in those areas, while others may have a broader focus.
3. Translations of popular pages will attract more attention and participation than less popular pages. The authors find evidence of informational magnetism in the English Wikipedia, with certain pages that attract more contributions and attention than others. We might expect to see a similar pattern in translations between different Wikipedia, with popular pages attracting more attention and participation than less popular pages.
4. There may be differences in the types of users who contribute to translations versus those who contribute to the original article. The authors note that there are different types of users who contribute to the English Wikipedia, including those who focus on creating new content and those who focus on editing and maintaining existing content. We might expect to see similar patterns in a dataset of translations, with some users specializing in translating content and others focusing on editing and improving translated content.
5. We might expect to see patterns of power and influence between different Wikipedia, as some languages or topics are more dominant than others. The authors note that "Wikipedia articles in English have higher page views and are more widely cited than articles in other languages."

Hi @awight and @Simulo. Here is the link to my contribution draft for the survey

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.

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.

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.