The Steem Watcher team has taken on the task of accompanying the communities in reviewing content, each of the detectives seeks to identify in the most responsible way the cases of abuse present on the platform.

_Pixabay

Below I share the cases that were detected and validated as abuse, and that have been receiving juicy rewards, generating farming activity through new accounts.

No.	Post Link	Source	Abuser ID	Abuse Type
1	Link	Link	@uco.intern	Repeat Content
2	Link	Link	@uco.research	Repeat Content
3	Link	Link	@uco.btc-d	Repeat Content
4	Link	Link	@uco.bnb-l	Repeat Content
5	Link	Link	@hdnur08	Repeat Content
6	Link	Link	@kasma	Repeat Content
7	Link	Link	@uco.bnb-l	Repeat Content

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.

I appreciate the confidence of the Steem-watcher team, we are at your service.