In search of abusers // Weekly Report 188 // 25-08-2025
Plagiarism, AI-generated content, and spam negatively impact Steem by devaluing content quality and reducing user trust. These factors create a less authentic experience and can affect the platform's reward system and sustainability. Automatic votes, on the other hand, may be fueling abusers who share these types of content, distorting the fairness of reward distribution.
Steem Watcher supports communities in maintaining a safe environment on the platform, where the content policy is respected.
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 | @btc5566.tagai | Repeat Content |
| 2 | Link | Link | @holdonely.tagai | Reward Farming |
| 3 | Link | Link | @cryptojol.tagai | Reward Farming |
| 4 | Link | Link | @cryptojol.tagai | Reward Farming |
| 5 | Link | Link | @oppoment1.tagai | Reward Farming |
| 6 | Link | Link | @fbbcoin68.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.