Reddit has access to its own data - they absolutely know which users are posting unique content and which user’s content is a 100% copy of data that exists elsewhere on their own platform
I know they could be I’m just not sure they’re that competent. These bots often aren’t single user or just copy paste either, there’s usually some effort to mix it up or change wording slightly. Reddits internal search function is infamously shit but they “know” which users are unlabeled bots with some effort put behind them?
I know everyone here likes to circle jerk over “le Reddit so incompetent” but at the end of the day they are a (multi) billion dollar company and it’s willfully ignorant to infer that there isn’t a single engineer at the company who knows how to measure string similarity between two comment trees (hint: import difflib in python)
To compare every comment on reddit to every other comment in reddit’s entire history would require an index, and if you want to find similar comments instead of exact matches, it becomes a lot harder to do that efficiently. ElasticSearch might be able to do it, but then you need to duplicate all of that data in a separate database and keep it in sync with your main database without affecting performance too much when people are leaving new comments, and that would probably be expensive.
Comparing combinations of comments is probably impossible. Reddit has a massive number of comments to begin with, and the number of possible subtrees of those comments would just be absurd. If you only care about comparing entire threads and not subtrees, then this doesn’t apply, but I don’t know how useful that will be.
Programmers just do what they’re told. If the managers don’t care about something, the programmers won’t work on it.
To compare every comment on reddit to every other comment in reddit’s entire history would require an index
You think in Reddit’s 20 year history no one has thought of indexing comments for data science workloads? A cursory glance at their engineering blog indicates they perform much more computationally demanding tasks on comment data already for purposes of content filtering
you need to duplicate all of that data in a separate database and keep it in sync with your main database without affecting performance too much
Analytics workflows are never run on the production database, always on read replicas which are taken asynchronously and built from the transaction logs so as not to affect production database read/write performance
Programmers just do what they’re told. If the managers don’t care about something, the programmers won’t work on it.
Reddit’s entire monetization strategy is collecting user data and selling it to advertisers - It’s incredibly naive to think that they don’t have a vested interest in identifying organic engagement
You think in Reddit’s 20 year history no one has thought of indexing comments for data science workloads?
I’m sure they have, but an index doesn’t have anything to do with the python library you mentioned.
Analytics workflows are never run on the production database, always on read replicas
Sure, either that or aggregating live streams of data, but either way it doesn’t have anything to do with ElasticSearch.
It’s still totally possible to sync things to ElasticSearch in a way that won’t affect performance on the production servers, but I’m just saying it’s not entirely trivial, especially at the scale reddit operates at, and there’s a cost for those extra servers and storage to consider as well.
It’s hard for us to say if that math works out.
It’s incredibly naive to think that they don’t have a vested interest in identifying organic engagement
You would think, but you could say the same about Facebook and I know from experience that they don’t give a fuck about bots. If anything they actually like the bots because it looks like they have more users.
If you have access to the entire Reddit comment corpus it’s trivial to see which users are only reposting carbon copies of content that appears elsewhere on the site
The low level bots in OPs screenshot, sure, because it’s identical. Not the rest.
I used to hunt bots on reddit for a hobby and give the results to Bot Defense.
Some of them use rewrites of comments with key words or phrases changed to other words or phrases from a thesaurus to avoid detection. Some of them combine elements from 2 comments to avoid detection. Some of them post generic comments like 💯. Doubtless there are some using AI rewrites of comments now.
My thought process is if generic bots have been allowed to go so rampant they fill entire threads that’s an indication of how bad the more sophisticated bot problem has become.
And I think @phdepressed is right, no one at reddit is going to hunt these sophisticated bots because they inflate numbers. Part of killing the API use was to kill bot detection after all.
Reddit has way more data than you would have been exposed to via the API though - they can look at things like user ARN (is it coming from a datacenter), whether they were using a VPN, they track things like scroll position, cursor movements, read time before posting a comment, how long it takes to type that comment, etc.
no one at reddit is going to hunt these sophisticated bots because they inflate numbers
You are conflating “don’t care about bots” with “don’t care about showing bot generated content to users”. If the latter increases activity and engagement there is no reason to put a stop to it, however, when it comes to building predictive models, A/B testing, and other internal decisions they have a vested financial interest in making sure they are focusing on organic users - how humans interact with humans and/or bots is meaningful data, how bots interact with other bots is not
Reddit is going to poison LLMs sooner than I thought.
LMAO while AIs reading training data sets get stuck in infinite loops.
Reddit probably omits bot accounts when it sells its data to AI companies
I doubt Reddit is in charge of many of the existing bots on their site.
Reddit has access to its own data - they absolutely know which users are posting unique content and which user’s content is a 100% copy of data that exists elsewhere on their own platform
I know they could be I’m just not sure they’re that competent. These bots often aren’t single user or just copy paste either, there’s usually some effort to mix it up or change wording slightly. Reddits internal search function is infamously shit but they “know” which users are unlabeled bots with some effort put behind them?
Removed by mod
I know everyone here likes to circle jerk over “le Reddit so incompetent” but at the end of the day they are a (multi) billion dollar company and it’s willfully ignorant to infer that there isn’t a single engineer at the company who knows how to measure string similarity between two comment trees (hint:
import difflibin python)You think in Reddit’s 20 year history no one has thought of indexing comments for data science workloads? A cursory glance at their engineering blog indicates they perform much more computationally demanding tasks on comment data already for purposes of content filtering
Analytics workflows are never run on the production database, always on read replicas which are taken asynchronously and built from the transaction logs so as not to affect production database read/write performance
Reddit’s entire monetization strategy is collecting user data and selling it to advertisers - It’s incredibly naive to think that they don’t have a vested interest in identifying organic engagement
I’m sure they have, but an index doesn’t have anything to do with the python library you mentioned.
Sure, either that or aggregating live streams of data, but either way it doesn’t have anything to do with ElasticSearch.
It’s still totally possible to sync things to ElasticSearch in a way that won’t affect performance on the production servers, but I’m just saying it’s not entirely trivial, especially at the scale reddit operates at, and there’s a cost for those extra servers and storage to consider as well.
It’s hard for us to say if that math works out.
You would think, but you could say the same about Facebook and I know from experience that they don’t give a fuck about bots. If anything they actually like the bots because it looks like they have more users.
Doubt it, they are interwoven into almost any conversation with more than 70 comments.
If you have access to the entire Reddit comment corpus it’s trivial to see which users are only reposting carbon copies of content that appears elsewhere on the site
It’s probably not as easy as you imagine for reddit to identify and cleanse all bot content.
Of course it’s not. Nor do they want to.
I think the person you’re talking to thinks all bots are like the easy ones in this screenshot.
Look at the picture above - this is trivially easy. We are talking about identifying repost bots, not seeing if users pass/fail the Turing test
If 99% of a user’s posts can be found elsewhere, word for word, with the same parent comment, you are looking at a repost bot
That’s easy in an isolated case like this, but the reality of the entire reddit comment base is much more complex.
The low level bots in OPs screenshot, sure, because it’s identical. Not the rest.
I used to hunt bots on reddit for a hobby and give the results to Bot Defense.
Some of them use rewrites of comments with key words or phrases changed to other words or phrases from a thesaurus to avoid detection. Some of them combine elements from 2 comments to avoid detection. Some of them post generic comments like 💯. Doubtless there are some using AI rewrites of comments now.
My thought process is if generic bots have been allowed to go so rampant they fill entire threads that’s an indication of how bad the more sophisticated bot problem has become.
And I think @phdepressed is right, no one at reddit is going to hunt these sophisticated bots because they inflate numbers. Part of killing the API use was to kill bot detection after all.
Reddit has way more data than you would have been exposed to via the API though - they can look at things like user ARN (is it coming from a datacenter), whether they were using a VPN, they track things like scroll position, cursor movements, read time before posting a comment, how long it takes to type that comment, etc.
You are conflating “don’t care about bots” with “don’t care about showing bot generated content to users”. If the latter increases activity and engagement there is no reason to put a stop to it, however, when it comes to building predictive models, A/B testing, and other internal decisions they have a vested financial interest in making sure they are focusing on organic users - how humans interact with humans and/or bots is meaningful data, how bots interact with other bots is not