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Since you asked:
- The bot provides little “value” vs the noise it creates.
I don’t need a bot to tell me that the BBC is a legit news source. Maybe if you flip it around and only publish a message if it’s a known scammy website, this might be less spammy. However, this “threshold for scamminess” would be very subjective.
- This bot is everywhere. This is closely related to the first point (“value” vs noise). It just sprang up one day and I saw it in every single thread, I’d read.
Fortunately, most Lemmy clients allow blocking users - which I’ve done and I’m much happier with my Lemmy experience.
Actually, with enough interactions from different people (ie: enough data points) Lemmy should be able to determine if a comment brings value to the conversation (either positive or negative) or if it’s noise that should be ignored (and prioritized lower).
If you have 4 comments:
It’s obvious that 1 and 3 are providing more to the conversation than 2. 4 is a bit of an outlier, but probably provides more value than 2.
Regarding 3: The challenge would be that there’s a low chance that there will be such a wide margin of upvotes/downvotes. Due to the hive mind, the voting will probably look like 30 upvotes and 130 downvotes. So, there would need to be a weight accordingly, so those fewer upvotes had a greater impact (in terms of sorting and scoring comments)
Reddit has a “sort by controversial” algorithm that seems to be missing from Lemmy (or maybe it’s hidden in the “what’s hot" - I haven’t looked at the code).
It would be awesome (and resource intensive) if Lemmy could provide the federated instances with custom sorting algorithms. It would allow federated instances to be unique, provide some playful competition, and given the open source nature of Lemmy - I’m sure these algorithms would be open sourced, which would improve the entire Lemmy ecosystem as a whole.