After releasing the Steem Sincerity Anti-Spam integration to SteemPlus, I have collected your feedback from the comments and decided to make a small adjustment. These will
Although I made pretty clear that the main purpose was to help training the machine learning algorithm, some have voiced concerns about the false positives in the Bot and Spammer categories. Our intention was never to discriminate these accounts but rather to let people give feedback to correct those errors.
This being said, we understand that being classified as a spammer when you are not can be frustrating so we decided to add a new category "Pending" used when the algorithm is unsure of the result.
This is how it will be done :
- If the biggest percentage is attributed to Human category, the user is considered Human
- If the biggest percentage is attributed to Bot category and is over 80%, the user is considered as a Bot
- If the biggest percentage is attributed to Spammer category and is over 80%, the user is considered as a Spammer
- Otherwise, the user category is set as
Tell us, and other users are welcome to rate this account.
A more than 80% attribution to those categories will find strong similarities with manually selected Spammers or Bots and will prevent having the many false positive that we currently have.
It also mean that we will have a lot of Tell us in the first place.
Therefore, we count on you to help us classify all those Pending accounts!
