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This comment was the last straw that made me fire off an email to dang regarding the recent decline in comment quality with a few structural changes that I thin
by supriyo-biswas 3y ago
This comment was the last straw that made me fire off an email to dang regarding the recent decline in comment quality with a few structural changes that I think may help; let’s see what comes out of it.
- GaggiX 3y agoYour account was created in 2023 and you talk as if you have been on this site since the beginning of time.
- treyd 3y agoTo be fair, I read HN regularly since 2016 but only created an account since the reddit fiasco looking to engage more actively. Could be a similar situation.
- supriyo-biswas 3y agoI’ve been a reader of this site since 2018, but only have I recently created an account.
- GaggiX 3y agoThen you should know that people have been frequently mentioning Reddit since 2009, which is why it's even mentioned in the guidelines.
- supriyo-biswas 3y agoThe Redditization is real this time though. Just because something wasn’t true previously doesn’t mean it continues to be that way.
- GaggiX 3y ago"Please don't post comments saying that HN is turning into Reddit. It's a semi-noob illusion, as old as the hills." Read the guidelines.
- swyx 3y agowhat changes do you propose?
- speedgoose 3y agoWe train a LLM classifier using a HN dataset and a Reddit dataset to automatically flag the Reddit like comments. People can then decide to hide them in their settings. I’m not sure when to put the cut-off date for the HN dataset. The eternal September started in 1993 and HN in 2007, we need at least a few comments.
- supriyo-biswas 3y agoThere’s no need for a cut-off date; just take highly upvoted comments off Reddit and find similar comments on HN as determined by word vectorization, and then train a model off of that. Or maybe even skip the similarity step; after all the goal is to find Reddit like comments.
- supriyo-biswas 3y agoPrimarily caps karma earning limits and voting limits, which should (at least I think) nudge people towards more thoughtful voting patterns and comments. The unintended effect may be that high-contribution users are disincentivized from participating.