Summary of Community Curation Program Management, Week 1, October.

in Steem POD Team • 23 days ago (edited)

Greetings fellow.

During the first week of October, the Steemit platform continues to strengthen content creation and community engagement by supporting Steemcurator accounts and the Booming programs. These initiatives by the Steemitblog team play an important role, working alongside the community to identify original, useful, high-quality, and well-crafted posts, awarding them votes that recognize the authors’ efforts.

The curators’ work is not limited to supporting posts; it also promotes ongoing participation, the exchange of ideas, and the building of more active communities through engagement with comments. For their part, the Booming and Steemcurator accounts help promote outstanding content from engaged users, provided it complies with the platform’s guidelines and adds real value to the ecosystem. This support motivates creators to improve the quality of their writing, images, experiences, and opinions.

On this occasion, I am here to present a summary of the curation activities carried out by the Boomings and Steemcurator accounts, with the aim of understanding their reach within the Steemit community.


AI-generated

To begin, I will present a table showing the distribution of votes generated by the various accounts and/or teams formed during the month of October.

During this period, the curation program supported 1,809 posts and 417 comments across the various communities and topics active on the platform.

It is important to note that some of these votes may have been removed for various reasons.

Below, I will share details about the support provided to countries.

I will now show the support that has been directed toward the various communities.

It's my turn to show the distribution of upvotes by user. Since the list is very long—there were 448 users supported by the community curation program—I'm only going to present a table of the 50 most-supported users.

You can view the complete table here.

To wrap up, I'd like to show you how the upvotes were distributed among the 10 users with the most support during this first week of October, reminding you that it's possible some may have been removed for any reason.

#UserPostCommentTotal Upvote
1jesusnunez131932
2chiagoziee201030
3max-pro25126
4almacaridad61925
5jimiaera0221324
6lirvic22022
7blessedlife121022
8rokonn20121
9pandora201071421
10mahadisalim21021

This report is intended to show the extent of support achieved through the Booming and Steemcurator program, and to provide information for a better management review.

It is important to value the work of each curation team, who must make sure to support original content related to the users committed to the platform.

Selected teams must take into account the following guidelines from the Steemit team:

  • The user must maintain good activity on the platform, sharing plagiarism-free content.
  • The content must not show any signs of having been created by AI.
  • The user must not have “Power Down” enabled.

If you wish to know the complete list of the users that received support during the period Oct 01 to 07, just click on the following link

Information generated using the Venezuelan time zone.

Cc:
@steemcurator01

I thank you for the support and attention you have given me.

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 22 days ago 

Very informative, definitely food for thought. However, what interests me most is how it's built—meaning, where does the information about which posts the curators voted for actually come from? Doing this manually would be extremely difficult.

 22 days ago 

Greetings, friend; this is done using various tools, while consolidating the information periodically.

 22 days ago 

image.png
It's unlikely that 1,800 rows were entered manually. If it's not a secret, what exactly do you use to collect such data — your own script or some API?

 22 days ago 

It's something like a script.

Curated by @ adeljose