Plagiarism, duplicate content, copyright infringement, and spam are practices that can significantly affect the platform's reputation. Therefore, it is important that moderators and community and event managers review the content of posts to validate their authenticity or detect these types of abuses that seek to exploit the reward system.

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

_Pixabay

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	@minns (*)	Reward Farming
2	Link	Link	@tnoy (*)	Reward Farming
3	Link	Link	@offs (*)	Reward Farming
4	Link	Link	@lollc (*)	Reward Farming
5	Link	Link	@iiiiiii	Reward Farming
6	Link	Link	@stuns (*)	Reward Farming
7	Link	Link	@plt (*)	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.