Content review is an essential task that the Steem Watcher team has been carrying out with the mission of detecting abusers who do not comply with content policies and who seek to fraudulently farm rewards and damage the platform's reputation.

_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	@kundanika	Copyright Infringement
2	Link	Link	@novella	Plagiarism Content
3	Link	Link	@valencekim	Spamming Content
4	Link	Link	@oddly (*)	Repeat Content
5	Link	Link	@rindex	Repeat Content
6	Link	Link	@sugarlife (*)	Repeat Content
7	Link	Link	@befood	Repeat Content
8	Link	Link	@resonator	Repeat Content
9	Link	Link	@foodmedia	Repeat Content
10	Link	Link	@xbd	Repeat Content
11	Link	Link	@applepx	Repeat Content
12	Link	Link	@egyptsia	Repeat Content
13	Link	Link	@japancalling	Repeat Content

(*) 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.