The Steem-Watcher team has maintained, through detectives, the work of supporting the review of content on the platform in general.

As a detective, we are committed to identifying cases of abuse, and guiding users to respect content policies.

_Pixabay

Below I share the cases that were detected and validated as abuse, some related to the chain of farming accounts previously reported in the post Weekly Report 71 and Weekly Report 76.

No.	Post Link	Source	Abuser ID	Abuse Type
1	Link	Link	@hdnur08	Repeat Content
2	Link	Link	@mirzatulalfi	Repeat Content
3	Link	Link	@kasma	Repeat Content
4	Link	Link	@hdnur08	Repeat Content
5	Link	Link	@zhr07	Repeat Content
6	Link	Link	@mirzatulalfi	Repeat Content
7	Link	Link	@kasma	Repeat Content
8	Link	Link	@wicesiw937	Reward Farming
9	Link	Link	@vabofor947	Reward Farming
10	Link	Link	@zindagikikhawab	Reward Farming
11	Link	Link	@hydg	Reward Farming
12	Link	Link	@fbbb	Reward Farming
13	Link	Link	@dggd	Reward Farming
14	Link	Link	@sygl	Reward Farming
15	Link	Link	@dhvb	Reward Farming
16	Link	Link	@socialreport	Plagiarism Content
17	Link	Link	@lovelystar	Repeat 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.