Content review on the Steemit blockchain is essential to ensure the quality and veracity of the information shared. This task not only fosters the credibility of the authors but also protects the community from potential fraud and misinformation. By conducting careful reviews, the meritocracy of the rewards they can receive for their content is supported, fostering a healthy and sustainable ecosystem within the platform.

The Steem Watcher team continues to provide the necessary support to stop abusers, supporting communities in identifying any type of abuse.

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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	@merif	Reward Farming
2	Link	Link	@wimpi	Reward Farming
3	Link	Link	@keleria	Reward Farming
4	Link	Link	@vigoji (*)	Reward Farming
5	Link	Link	@hosapo (*)	Reward Farming
6	Link	Link	@rmbhints	Plagiarism Content
7	Link	Link	@josimuddin6565	Repeat Content
8	Link	Link	@josimuddin6565	Repeat Content
9	Link	Link	@josimuddin6565	Repeat Content
10	Link	Link	@josimuddin6565	Repeat Content
11	Link	Link	@josimuddin6565 (*)	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.