The task of reviewing content requires joint work, based on the responsibility of each community, with the sole objective of keeping the platform clean of abusers.

The Steem Watcher team is aware of the effort behind content review, therefore, it remains active to support the detection of abuse.

_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	Null	@leiths	Reward Farming
2	Link	Null	@pmart	Reward Farming
3	Link	Null	@anggali	Reward Farming
4	Link	Null	@alhajj	Reward Farming
5	Link	Link	@ninamuziklina	Repeat Content
6	Link	Null	@rankmeupclub	Spamming Content
7	Link	Null	@dalyaok	Spamming Content
8	Link	Null	@icetea	Spamming Content
9	Link	Null	@dw-a20dq639342d	Spamming Content
10	Link	Null	@rull14958	Spamming Content
11	Link	Null	@valdasamba	Spamming Content
12	Link	Null	@legendaryfairy	Spamming Content
13	Link	Null	@squirrel-girl	Spamming Content
14	Link	Null	@dw-ah5li5f9cd3l	Spamming Content
15	Link	Null	@dw-a5fsl5f9deas	Spamming Content
16	Link	Null	@dw-aen3k63f8133	Spamming Content

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.