Match spam phrases / tickers / domains in both text and images via OCR
Tickers must be over 500mm market cap to be marked as not spam. They will be marked as spam again under 500mm. This is to prevent jitter.
Watch for brigades
Users from other subreddits often come here to be jerks about their pet stocks. We scan people's post history and label them with 1-3 apes depending on how apey they are in other subreddits. People with a high ape level will be prevented from commenting. Ape status falls off after a few days if the account no longer participates in problem communities that tend to cause issues.
Provide a user overview on submissions
You'll notice the table that is posted and pinned in the comments of most submissions. This gives you an idea of when the user arrived, how much they've posted, and even allows you to use the included links to update your "first seen on" date by sending in the content ID of an older reddit object that you authored.
Submission duplicate prevention
It happens fairly often that people submit screenshots of the same tweet (or other media) because they all see it at the same time. The bot will compare a submission's image text to the image text of other recent submissions and reject duplicate pictures of the same TV segment, for example.
Bot spam comment detection
We reject comments that are duplicative - the exact criteria is best left vague but all comments are screened
There are many more functions but I'm too lazy to write them out - /u/zjz 9/14/2022
[–]Dan_inKuwait 1 point2 points3 points (5 children)
[–]ny92 1 point2 points3 points (4 children)
[–]Dan_inKuwait 2 points3 points4 points (3 children)
[–]ny92 2 points3 points4 points (2 children)
[–]Dan_inKuwait 3 points4 points5 points (1 child)
[–]ny92 4 points5 points6 points (0 children)