jonluca/reddit-research

This project is a tool that tries to automatically detect spam posts on Reddit. It is designed to be used as part of a bot that flags bad users or suspicious posts, helping subreddit moderators keep their communities clean with less manual effort. The tool learns to recognize spam by studying examples. You give it two lists of post titles: one list of known spam titles and another list of legitimate titles. It looks for patterns in the wording of each group and builds a model from those patterns. Once trained, the model can look at new post titles and guess whether they are likely spam. The project also includes a testing step, where it checks its own guesses against a separate set of labeled examples to see how accurate it is. This would be useful for anyone running a Reddit bot or doing moderation work at scale. For example, if you manage a subreddit that gets flooded with promotional posts or scam links, you could train this filter on examples from your community and let it flag suspicious submissions for review. The README doesn't go into much detail beyond the basic workflow. It describes a straightforward text classification approach rather than a sophisticated or production-ready system, so it may be best suited as a starting point or learning project rather than a drop-in solution for large communities.