Reviewing content is essential to protect the integrity of the platform. Plagiarism, spam, duplicate content, and farming are some of the abuses that can affect the trust between users, deteriorating the overall quality of the platform. Communities must actively participate in the review and reporting of inappropriate content, in this way, it is an effective way to add value to Steemit, and therefore, it is beneficial for everyone.

The Steem Watcher team does its best to detect any abusive activity, for this purpose, they have dedicated themselves to reviewing content throughout the platform, in addition, they are attentive to cases detected by users, to address them with full responsibility.

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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	@messi2 (*)	AI Content
2	Link	Link	@ichiban	Repeat Content
3	Link	Link	@light999 (*)	AI Content
4	Link	Link	@jasonshlck	Repeat Content
5	Link	Link	@munsters	Repeat Content
6	Link	Link	@uco.btc-l	Repeat Content
7	Link	Link	@uco.bnb-d	Repeat Content
8	Link	Link	@toty	Reward Farming
9	Link	Link	@berglow	Reward Farming
10	Link	Link	@zillurrahman0 (*)	AI Content
11	Link	Link	@tanvir2008	AI Content
12	Link	Link	@mominulislam02	AI Content
13	Link	Link	@bigso	AI 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.