Steem can be seen as a lucrative environment, as it offers rewards for shared content, which in turn attracts people seeking to enrich themselves through deceptive activities. This highlights the importance of content review as one of the fundamental tasks we must perform as a community responsible for the well-being of the platform.

The Steem Watcher team continues to collaborate with communities on content monitoring to stop abusers who try to take advantage of the reward system.

_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	@favycliff (*)	AI Content
2	Link	Link	@sahar78 (*)	AI Content
3	Link	Link	@jixak	Reward Farming
4	Link	Link	@jixak (*)	Reward Farming
5	Link	Link	@oliveri	Reward Farming
6	Link	Link	@xil	Reward Farming
7	Link	Link	@xil	Reward Farming
8	Link	Link	@xil (*)	Reward Farming
9	Link	Link	@wimpi	Reward Farming
10	Link	Link	@wimpi	Reward Farming
11	Link	Link	@bocen	Reward Farming
12	Link	Link	@oliveri	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.