hey @khoola, I had another thought reading this post again today... you mentioned that you struggle to know how to identify plagiarism. You can use plagiarismdetector.net to run the first 1000 words of an article through it and it will give you a % response on unique vs plagiarised content....BUT it is not clever enough to identify when someone has cross posted or tagged different communities so you do need to look at the suspected plagiarised links to see if they are real plagiarism or simply the use of common phrases on completely different content, or the same content but for example the ecency front end version instead of the peaked version. If the suspected incidences of plagiarism are the authors own work then it's fine. Does this help at all? You can hit me up in DM if you want to know more about how useful this little tool is.