In search of abusers // Weekly Report 179 // 25-07-2025.
A detective's job is to monitor the activity taking place in a community, that is, to conduct a review of each piece of content shared. On Steemit, it is necessary to detect content that involves plagiarism, spam, phishing, copyright infringement, and fake accounts, among others.
The Steem-Watcher team, on behalf of the platform, continues its efforts to assist communities in detecting abusers and contributing to healthy activity in this ecosystem.

Below I share the cases that were detected and validated as abuse, most of the accounts are related to a farming community.
No. | Post Link | Source | Abuser ID | Abuse Type |
---|---|---|---|---|
1 | Link | Link | @uco.intern | Repeat Content |
2 | Link | Link | @uco.intern | Repeat Content |
3 | Link | Link | @uco.bnb-l | Repeat Content |
4 | Link | Link | @uco.bnb-l | Repeat Content |
5 | Link | Link | @uco.bnb-d | Repeat Content |
6 | Link | Link | @uco.bnb-d | Repeat Content |
7 | Link | Link | @uco.btc-d | Repeat Content |
8 | Link | Link | @uco.btc-d | Repeat Content |
(*) Reported for the first time.
Each content goes through a variety of tools that serve to verify the authenticity of the content of each publication.
Search Tools.
Plagiarism Detectors | AI Content Detectors |
---|---|
quetext | openai |
etxt.biz | zerogpt |
plagiarismchecker | gptzero |
plagiarismdetector | contentatscale |
check-plagiarism | Paraphrasingtool |
prepostseo | Crossplag |
smallseotools |
To conclude my report, it is necessary to point out that in each case identified, I leave in the comment a link to the @abuse-watcher publication where some information and advice on plagiarism and abuse is shared.