Every week a significant amount of content is published, which must ensure compliance with the platform's content policies, here begins the need to review each one of them.

The Steem Watcher team is committed to supporting the content review effort to report any cases of abuse that are identified.

_Pixabay

Below I share the cases that were detected and validated as abuse, some accounts related to the case reported in my recent report.

No.	Post Link	Source	Abuser ID	Abuse Type
1	Link	Link	@ahsanrehman	Reward Farming
2	Link	Link	@haseeb.asif.khan	Reward Farming
3	Link	Link	@hk422	Reward Farming
4	Link	Link	@khang572	Reward Farming
5	Link	Link	@abbas786	Reward Farming
6	Link	Link	@adeebkhan	Reward Farming
7	Link	Link	@azhar-zalim	Reward Farming
8	Link	Link	@luxy12	Reward Farming
9	Link	Link	@fiazaali	Reward Farming
10	Link	Link	@haseeb.asif.khan	Reward Farming
11	Link	Link	@asifniazi	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.