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.

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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	@enduranc	Reward Farming
2	Link	Link	@novella	Plagiarism Content
3	Link	Link	@novella	Plagiarism Content
4	Link	Link	@ichiban	Repeat Content
5	Link	Link	@ichiban	Repeat Content
6	Link	Link	@ichiban	Repeat Content
7	Link	Link	@avarea	Reward Farming
8	Link	Link	@avarea	Reward Farming

(*) 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.

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