In search of abusers // Weekly Report 192 // 07-09-2025
As a detective, I am responsible for reviewing content. My duties include identifying and analyzing posts, verifying the authenticity of content using effective anti-plagiarism and artificial intelligence tools, guiding users (if necessary) to understand the platform's internal policies to ensure their well-being, and reporting detected abuses to protect the reward system.
The Steem Watcher team verifies and analyzes the authenticity and quality of information shared by users. Our goal is to preserve the platform's good reputation.

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 | @bigdtcent.tagai | Repeat Content |
2 | Link | Link | @oppoment1.tagai | Reward Farming |
3 | Link | Link | @bikepride.tagai | Reward Farming |
4 | Link | Link | @ttaiaiage.tagai | Reward Farming |
5 | Link | Link | @fbbcoin68.tagai | Reward Farming |
6 | Link | Link | @bitterkee.tagai | Reward Farming |
(*) 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.