Comment by dang
5 months ago
> At what point does a story become big enough to disable the flagging mechanic?
I'm not sure "big" is the right word because we're not optimizing HN for topic importance - that would make for a current affairs site, which HN is not [1, 2]. But maybe that's hair-splitting in this case.
The short answer to your question is that when there's a Major Ongoing Topic (MOT), moderators turn off flags on stories that contain Significant New Information (SNI) that is interesting in HN's sense of the word (i.e. gratifying intellectual curiosity) and there is a fair chance of the article supporting a substantively different discussion than the ones which have already recently appeared on the same topic.
If you want more information, I'd start with my other post in this subthread (https://hn.algolia.com/?dateRange=all&page=0&prefix=true&sor...
>moderators turn off flags on stories
I replied to your comment in that other chain, but just want to point something else out here specifically. There seems to be more than just flags that are dragging down this story. The top post on HN at the moment has 117 points and is 3 hours old. This post has 238 points and is 1 hour old and is currently number 8 on the front page. Number 7 is currently a post with 28 points posted 2 hours ago. There is clearly something else at work here besides flags and maybe disabling flags isn't enough to give these type of posts staying power on the front page of HN.
This is in the FAQ: "Why is A ranked below B even though A has more points and is newer?" (https://news.ycombinator.com/newsfaq.html).
I turned off the flags and rolled back the clock on this submission so that it would be on the front page and have a chance at a thorough discussion. I didn't do that so much that it would go straight to #1, though, because that would not be in the interests of the site. These things need to be controlled burns.
Yes, I understand that. But you are missing the point of my comment.
From the FAQ:
>The basic algorithm divides points by a power of the time since a story was submitted. Comments in threads are ranked the same way.
> Other factors affecting rank include user flags, anti-abuse software, software which demotes overheated discussions, account or site weighting, and moderator action.
You are effectively just turning off one aspect of this, the flags, and declaring mission accomplished when obviously there are other things contributing to these stories falling off the front page faster than many people think they should. People care about the outcome, not the specific button you are pushing on the backend to accomplish that outcome.
This story now has more points than anything posted on the site in the last 24 hours and it is currently halfway down the front page. People clearly think this is an important topic worthy of the site and discussion in a way that isn't in line with the HN ranking algorithm. My original point was that if you agree that stories like this have a place on the front page of HN, turning off the flagging isn't always enough to counteract the other factors at play that drop these posts in the HN rankings.
6 replies →
Dang should have manually downranked it because anti-Musk politics are off-topic on HN.
It is a technology related article that is detailed and specific about things which appear to violate practices that have been part of the social contact for some time. Relevant regardless of optics.
There's room for an interesting discussion here, as I tried to argue at https://news.ycombinator.com/item?id=42992992.
I don't need a response to these questions, as they are HN internal/sensitive, but I wanted them to be at least thought about:
Do you track people who frequently flag stories and/or comments?
Do you collate those results against particular subjects? i.e. Any musk related story always gets flagged by $group
Do those groups/people always flag within X minutes of each other?
Do those groups/people match the general location of a random sampling of HN users, or do they differ in a statistically significant way?
dang has commented about this before, and IIRC the gist is that he has access to a ton of data about user activity on the site, and that in the vast majority of cases where it feels like a story/comment/opinion is being brigaded or otherwise maliciously targeted en masse, the data hasn't backed that up. The community is a large and varied, so inevitably whatever opinion you or I holds, there are a ton of people who also exist here who disagree.