Abusers seek to exploit the reward system through garbage, plagiarized, repeated or AI-generated content, therefore, the task of reviewing the content is essential to stop detecting these abuses, and in this way reduce the leak of Steem.

Steem Watcher is determined to cover the review of a large amount of content, to accompany the communities for the benefit of the platform.

_Pixabay

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	@miptahul	Reward Farming
2	Link	Link	@yujinland3	AI Content
3	Link	Link	@soniyatanha	AI Content
4	Link	Link	@mohamad786	AI Content
5	Link	Link	@mbapay1	AI Content
6	Link	Link	@mdnasim00	AI Content
7	Link	Link	@miptahul	AI Content
8	Link	Link	@soniyatanha	AI Content
9	Link	Link	@yujinland3	AI Content
10	Link	Link	@banyu	AI Content
11	Link	Link	@warung.klontong	Reward Farming
12	Link	Link	@johnion	AI Content
13	Link	Link	@bothok	AI Content
14	Link	Link	@shando	Reward Farming
15	Link	Link	@alekan	Reward Farming
16	Link	Link	@minjon	Reward Farming
17	Link	Link	@bitfeed	Reward Farming
18	Link	Link	@crypto-raccoon	Reward Farming
19	Link	Link	@lazy-koala	Reward Farming

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.