The task of a detective is to follow the clues of irregular cases that may be occurring in a community. In Steemit, irregular cases are considered to be content that involves plagiarism, spam, phishing, copyright infringement, as well as, fake accounts, among others.

The Steem-Watcher team for the benefit of the platform maintains its efforts in accompanying communities to detect abusers in order to contribute to healthy activity in this ecosystem.

_Pixabay

As a detective I have been reviewing a set of publications, most of them comply with the content protocol, however, we should not omit the cases of abuse that were identified, as they may affect the reputation of the platform.

Below I share with you the cases that were detected.

No.	Post Link	Source	Abuser ID	Abuse Type
1	Link	Link	@muhar-bd	Spamming /Reward Farming
2	Link	Link	@salehjeck	Reward Farming
3	Link	Link	@rando7	Spamming /Reward Farming
4	Link	Link	@abrarmuda	Spamming /Reward Farming
5	Link	Link	@jhon-las	Repeat Content /Reward Farming
6	Link	Link	@ana07	Spamming /Reward Farming

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.