Plagiarism, duplicate content, copyright infringement, and spam are practices that damage the platform's reputation, so it's important to review content for these types of abuses that are intended to exploit the reward system.

The Steem Watcher team is aware of the effort involved in content review and is therefore actively supporting the detection of abuse.

• To date, I have reported 2,334 cases of abuse involving 1,159 users. In October, we removed $2,678,331 in downvotes against blacklisted users.

_Pixabay

Below I share the cases that were detected and validated as abuse, most of the accounts are related to a farming community.

Username	Post Link	Source Link	Plagiarism Type	Caught By
@is-installed	POST LINK	Source Link	AI Content	@scrutinize
@daddydidadoggy (*)	POST LINK	Source Link	AI Content	@scrutinize
@fantastic-sex (*)	POST LINK	Source Link	AI Content	@scrutinize
@doggydopoopoo	POST LINK	Source Link	AI Content	@scrutinize
@frozen-jelly (*)	POST LINK	Source Link	AI Content	@scrutinize
@desdogdied (*)	POST LINK	Source Link	AI Content	@scrutinize

(*) 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.