There are different practices that can be considered abuse, among the main ones we have plagiarism and repetition of content, spam, copyright infringement; and now, AI-generated content.

The Steem Watcher team is aware of the damage that the aforementioned practices can cause to the reputation of the platform and the performance of Steem, therefore, it remains active to support the detection of abuse.

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Below I share the cases that were detected and validated as abuse, some accounts have been reported repeatedly, we hope that they will soon begin to comply with the content policies.

No.	Post Link	Source	Abuser ID	Abuse Type
1	Link	Link	@uco.btc-l	Repeat Content
2	Link	Link	@uco.btc-d	Repeat Content
3	Link	Link	@uco.intern	Repeat Content
4	Link	Link	@mhtonmoy	AI Content
5	Link	Link	@tanvir2008	AI Content
6	Link	Link	@bigso	AI Content
7	Link	Link	@mominulislam02	AI Content
8	Link	Link	@comcom	AI Content
9	Link	Link	@world-trip	Repeat Content
10	Link	Link	@muhar-bd	Reward Farming
11	Link	Link	@azifnur86	Reward Farming
12	Link	Link	@kanza1	Reward Farming
13	Link	Link	@ana07	Reward Farming
14	Link	Link	@mollymochtar	Copyright Infringement
15	Link	Link	@fackrurrazi	Copyright Infringement

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.