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Re:Are popular toxicity models simply profanity detectors? by YEwSdObPQT on Tuesday January 25, 2022 @01:29AM (#30068831)
Something alluded to here is that many of the Languages models use US English. Many terms that are offensive in the US, may not be offensive at all in the UK. e.g. "Fag" in the UK is frequently used to refer to cigarettes. "Can I bum a fag?" literally means "Can I have one of your cigarettes please?".

Similarly something that might be a cat call such as "Get your baps out" (shows us your breasts), could also be used by a baker since a "bap" is a type of bread roll in a slightly cheeky advert as most people are aware of the pun.

How are you going to train an AI to know the context that the person might be talking about bread instead of a woman?

Has anyone realised yet that almost all of this folly? I suppose not when there is money to be made.

Re:Are popular toxicity models simply profanity detectors? by Gareth321 on Tuesday January 25, 2022 @03:01AM (#30069375)
I couldn't agree more. I've been watching this shift in acceptable standards in America move from intent to perception with considerable consternation. It seems that an absence of malintent in language is no longer sufficient defense. If one perceives the language as offensive, it is. This is an absurd standard because with a sufficient audience size, someone will find something offensive. This standard is a de facto end to all discussion. It only takes one hyper sensitive audience member (legitimate or troll) to shut down all discussion.

This is not a sustainable strategy for society. It is of course impossible for algorithms to parse perceived intent by the lowest common denominator, and attempting to do so is nothing more than defensive legal posturing.

Re:Are popular toxicity models simply profanity detectors? by simiones on Tuesday January 25, 2022 @07:34AM (#30071081)
> I've been watching this shift in acceptable standards in America move from intent to perception with considerable consternation.

I think that both intent and perception are important, and they are both judged in the more modern understanding of "toxicity". Malintent is a direct "strike". But, lack of malintent doesn't mean that perceived offense should be entirely ignored.

Let's imagine a scenario: as in the example above, an English person says "can I burn a fag" and an American person believes they are casually thinking about hurting a gay man. The English person meant no harm; but, the American person is not at fault for not understanding this. They can complain, and the English person should explain their intent. The American person should learn and remember the meaning of this expression in British English, and the English person will need to remember that this expression may sound offensive to American listeners, and avoid it in such scenarios.

Basically, the important aspect is that a misunderstanding is not always the fault of the listener (which the intent-only model suggests: you took offense, but I didn't mean that, so you're silly for feeling offended). It is of course also not only the fault of the speaker (which the perception-only model would suggest: I felt offended by what you said, so it doesn't matter what you meant, you owe me an apology or more). Both parties are involved in a miscommunication, if indeed there was one.

Re:Are popular toxicity models simply profanity detectors? by slibhb on Tuesday January 25, 2022 @08:53AM (#30071755)
> Let's imagine a scenario: as in the example above, an English person says "can I burn a fag" and an American person believes they are casually thinking about hurting a gay man. The English person meant no harm; but, the American person is not at fault for not understanding this.

If you call someone out for "offensive speech" and your offense rests on your own misunderstanding, it is absolutely your fault.

Re:Are popular toxicity models simply profanity detectors? by madaxe_again on Tuesday January 25, 2022 @09:47AM (#30072311)
Yes, but not necessarily your problem. I’m British. I once asked for a glass of water in a restaurant in Virginia, and while I thought the waitress’s response was a little peculiar (no reply, just turned around and walked away), I was astounded when the police showed up five minutes later. Apparently she’d misheard me, and thought “just a glass of water, please” was a threat. It was never revealed to me what the threat I had apparently made was, but it cost me several extremely stressful hours convincing the local PD that there had been a misunderstanding - so while it was her fault, it was my problem. I’ve puzzled for years over what she heard.

As a white guy wearing a suit, I got out of there without being charged. If I weren’t… I can imagine it could have gone very differently.

Re:Are popular toxicity models simply profanity detectors? by gowld on Tuesday January 25, 2022 @11:17AM (#30073588)
Maybe is was part your fault for not speaking clearly.
Re:Are popular toxicity models simply profanity detectors? by madaxe_again on Tuesday January 25, 2022 @04:33PM (#30078396)
I speak perfectly clearly - in a British accent. If it’s my fault for not being American, then so be it.

Also, “is was part”? So much for being clear.

Re:Are popular toxicity models simply profanity detectors? by mauvehaus on Tuesday January 25, 2022 @09:06AM (#30071892)
The major issue with this model is that the offended person has options that are a bit less hostile and assuming of bad intent than "calling somebody out".

Unfortunately, we seem to be in a place where bad intent is taken for granted and merits an aggressive reaction rather than placing any responsibility on the offended party to be civil and open-minded in their response to be perceiving offense.

In the case of "burning a fag", our hypothetical American has the option of inquiring about the meaning of an unfamiliar idiom rather than jumping straight to calling out the speaker.

Re:Are popular toxicity models simply profanity detectors? by gowld on Tuesday January 25, 2022 @11:15AM (#30073568)
This is offensive to kerning.

bum is not burn.

Re:Are popular toxicity models simply profanity detectors? by kwooding on Wednesday January 26, 2022 @11:46PM (#30096322)
This is, hands down, the greatest HN comment I have ever read.
Re:Are popular toxicity models simply profanity detectors? by shrikant on Tuesday January 25, 2022 @08:23AM (#30071481)
> [...] an English person says "can I burn a fag" and an American person believes they are casually thinking about hurting a gay man.

FYI, it's combination of difficult-to-discern keming with the default font on HN, and your unfamiliarity with the phrase, but it's actually "BUM A FAG" and not "BURN A FAG".

Re:Are popular toxicity models simply profanity detectors? by userbinator on Tuesday January 25, 2022 @03:39PM (#30077701)
It's interesting to see so many people thought it was "burn" --- perhaps the reference to cigarettes primed the "mental autocorrect" in the wrong direction.
Re:Are popular toxicity models simply profanity detectors? by simiones on Tuesday January 25, 2022 @11:44AM (#30074033)
Yes, you're right, thanks for correcting that!

Incidentally, did you intentionally write keming instead of kerning?

Re:Are popular toxicity models simply profanity detectors? by shrikant on Tuesday January 25, 2022 @11:58AM (#30074281)
Re:Are popular toxicity models simply profanity detectors? by throwaway22032 on Tuesday January 25, 2022 @08:59AM (#30071821)
> the American person is not at fault for not understanding this.

Part of being an adult is understanding that generally, people are not 4chan trolls.

If someone who's not a crackpot says to you "can I burn a gay", even though that seems unambiguous, they've probably just misspoken or are joking.

In real life almost everyone seems to get this, online it's like everything is a strawman.

Re:Are popular toxicity models simply profanity detectors? by simiones on Tuesday January 25, 2022 @11:11AM (#30073507)
> If someone who's not a crackpot says to you "can I burn a gay", even though that seems unambiguous, they've probably just misspoken or are joking.

Well, for one, this only applies if you already know that person is not a crackpot. Secondly, burning someone would indeed be an extreme example, but not all (accidental) offenses are so obviously monstrous. If someone said "I hate fags" (intending to say they don't like cigarettes), this would be more likely to be someone's actual homophobic opinion, depending on culture.

Re:Are popular toxicity models simply profanity detectors? by throwaway22032 on Tuesday January 25, 2022 @03:48PM (#30077806)
But, again, most people aren't running about spouting horrible stuff, and neither are people trying to catch them out either.

It's all just a bit weird to me. If someone said to me "I hate fags", I'd either ask them to clarify, or change the topic. If they were persistent, then yeah, get rid. It's not a problem that requires instantaneous resolution.

Re:Are popular toxicity models simply profanity detectors? by userbinator on Tuesday January 25, 2022 @09:19AM (#30072029)
I've been watching this shift in acceptable standards in America move from intent to perception with considerable consternation.

I don't really want to take the discussion in this direction, but note that almost all of that "shift" comes from one side of the political spectrum.

Re:Are popular toxicity models simply profanity detectors? by mbrodersen on Tuesday January 25, 2022 @10:30PM (#30081321)
Yep you are absolutely right. People routinely get offended by anything that they don’t agree with, and often interpret whatever is said using the worst possible out of context straw man interpretation. I personally get offended when PC advocates whip themselves into a frenzy over the slightest misunderstanding. So I guess I should blame those PC advocates for harming me?
Re:Are popular toxicity models simply profanity detectors? by pydry on Tuesday January 25, 2022 @06:54AM (#30070809)
Intent is always difficult and often impossible to judge.

There is no happy medium here, particularly since those seeking to offend and to wolfwhistle to signal their allegiance to other people who hate your race (for example) will try to couch their terms to hide within the shadows of plausible deniability unless they feel completely safe.

It's more a question of how many false positives and false negatives your culture is prepared to tolerate.

Re:Are popular toxicity models simply profanity detectors? by mcherm on Tuesday January 25, 2022 @07:02AM (#30070855)
Of course, offense is just as difficult and impossible to judge as intent. In both cases, one can simply ask the individual, "Were you offended?" or "What was your intent?" But biased or motivated itself reporting makes each unreliable.

I certainly agree with your final conclusion: it depends on what society is willing to tolerate in terms of false positives and in terms of false negatives. And particularly, the balance between those two kinds of errors.

Re:Are popular toxicity models simply profanity detectors? by yeetaccount4 on Tuesday January 25, 2022 @09:20AM (#30072036)
Anyone can say they’re offended without any cost to themselves. It’s ‘cheap’, and the outcome is often very ‘expensive’ for the offender. You could even make the case that virtue is derived from being offended. This disproportionality invites bad faith. I’ve stopped caring about people’s offense.
Re:Are popular toxicity models simply profanity detectors? by zehaeva on Tuesday January 25, 2022 @10:37AM (#30072965)
Anyone can say they didn't mean it that way/they were joking without any cost to themselves as well.

Not to say that there isn't anything wrong with how people have been increasingly incensed in the last few decades, but that's basically what it was like in the 90s and before. Someone was like, "whoa dude what you said wasn't cool" was met with "it was just a joke".

Your reasoning cuts both ways I think.

Re:Are popular toxicity models simply profanity detectors? by yeetaccount4 on Tuesday January 25, 2022 @10:46AM (#30073086)
It doesn’t cost the other party anything to say you were joking. Saying you’re offended can lead to lost economic opportunity for somebody.
Re:Are popular toxicity models simply profanity detectors? by teakettle42 on Tuesday January 25, 2022 @09:55AM (#30072404)
The happy medium, such as it is, is to not try to police “toxicity” in the first place.

If you want to be a global publisher of your opinions, you’re going to receive a global response, from people across the political and social gamut — the larger your audience, and the more political/ideological your speech, the more substantial a response.

My dictionary’s definition of “Faustian” has this usage example:

> Modern celebrities enter into a Faustian pact with the general public.

What people seem to want is the ability to enforce a one-sided bargain with the public, under which their own toxicity, opinions, and any public affirmations should never be censored, as long as their opinions are the politically correct ones.

Re:Are popular toxicity models simply profanity detectors? by mavhc on Tuesday January 25, 2022 @11:06AM (#30073418)
What happens when the trolls create millions of accounts to overwhelm the 90% people with good intentions?
Re:Are popular toxicity models simply profanity detectors? by pydry on Tuesday January 25, 2022 @11:11AM (#30073494)
>The happy medium, such as it is, is to not try to police “toxicity” in the first place.

So, give hard core racists the benefit of the doubt when they wolf whistle each other?

Can't see any historical precedent for that going disastrously wrong.

>What people seem to want is ... their own toxicity, opinions, and any public affirmations should never be censored

Some people are hypocrites. News at 11.

Some people also want anti-han Chinese racism to be treated equivalently to anti-Uyghur racism because they choose to be blind to the inherent power differential.

I remember reading a story of the Hutus and the Tutsis. The genocide began with the radio - shows that very deliberate but cautious (& deniable) dehumanization of the other that ramped up over time. Nobody policed these deliberately aggravated ethnic tensions. By the time they were consistently obvious it was a little on the late side.

On the other hand, I've been falsely accused of being a racist before and it undeniably hurt my feelings a little bit.

Re:Are popular toxicity models simply profanity detectors? by watwut on Tuesday January 25, 2022 @03:27AM (#30069558)
Because "intent" rule was easy to abused and was in fact abused often. Directly by people seeking or enjoying to be "toxic" (in loose meaning). All you have to do is to pretend little bit you are clueless again and again, despite being told again and again.

And to shut up targets - "he/she does not mean that", "he/she is just insecure", "you know how he/she is". If you cant prove intent, you had no grounds to even talk about that that person is doing to you again and again.

Re:Are popular toxicity models simply profanity detectors? by marcus_holmes on Tuesday January 25, 2022 @04:19AM (#30069893)
This is a tough problem, because we are also experiencing people who take offence in a toxic manner.

E.g. people who object to a statement because it might possibly be offensive to another group, despite members of that other group being present and not being offended. Clearly they are doing this out of the same enjoyment of other people's discomfort that you describe.

Re:Are popular toxicity models simply profanity detectors? by smcl on Tuesday January 25, 2022 @05:10AM (#30070188)
I think some people do go a little far, but I don't think everyone's doing this out of some sadistic desire to watch people squirm. More likely they're just a bit too earnest and as a result try to correct others and overcompensate. Most people here have been an annoying college-aged kid at some point with an axe to grind on some specific point, we should remember that.

That said, it's interesting this has come up during a discussion about how the intent behind what someone said is often either misunderstood or discarded.

Re:Are popular toxicity models simply profanity detectors? by Nextgrid on Tuesday January 25, 2022 @07:21AM (#30070976)
> More likely they're just a bit too earnest and as a result try to correct others and overcompensate.

You are assuming way too much good faith. For every one that does it in earnest there's probably 10 grifters just taking advantage of the situation for their own personal benefit:

The real reason seems to me like virtue-signalling. They don't care whether they're personally offended, as that would require burning social "points" by rocking the boat but potentially getting no outcome out of it (nobody else might agree). It's "safer" to just suck it up than sacrifice social points especially when you're on the lowest ranks.

They also don't know nor care whether the protected class they are worried about is actually going to be offended. Again, rocking the boat and burning social capital for little personal benefit.

This leaves the argument of earning social capital by virtue signaling among like-minded peers. Pick a common issue you already know is popular within your target "market" (racism, sexism, "diversity & inclusion", etc) and raise the problem. This doesn't risk any social capital, after all, people like you won't disagree (for the same reasons) and people that might be on the fence or would like to add nuance wouldn't want to risk their social capital in fear of being labelled a racist/etc. It also transcends the ranks - if anything, a higher-ranking person in the company would risk much more by speaking out than someone on your rank or lower.

This eventually results in a positive feedback loop where everything will become offensive given enough time and those who disagree either comply or get pushed out. That's how you get bullshit like GitHub's "main" branch which helps nobody while continuing to sell services to ICE which you could argue actually hurts minorities.

Re:Are popular toxicity models simply profanity detectors? by throwaway0a5e on Tuesday January 25, 2022 @09:37AM (#30072215)
>taking advantage of the situation for their own personal benefit:

And therein lies the problem. A subset of people get a benefit from engaging in this behavior. So of course they do it at every opportunity.

You get what you incentivize.

Until the outcome is so frequently a net negative (however slight) in so many cases that the behavior is marginalized to a negligibly small number of people/settings the behavior will persist in enough volume to be worth caring about.

Re:Are popular toxicity models simply profanity detectors? by Nextgrid on Tuesday January 25, 2022 @10:03AM (#30072520)
> You get what you incentivize.

The problem is that a large part of the tech industry nowadays relies on "engagement" aka monetizing user attention for the benefit of advertisers, thus extremely vulnerable to public opinion (the advertisers themselves would engage in this behavior, thus companies that supply them must also conform to it). The entire industry is on thin ice already so it makes sense for everyone to play it safe even though it just reinforces the feedback loop even more.

This is why this behavior is rarely seen in other industries that make the bulk of their money on a tangible output, both because the output is less fungible/replaceable as well as those industries' employees typically having less time to waste engaging in bullshit.

Re:Are popular toxicity models simply profanity detectors? by smcl on Tuesday January 25, 2022 @01:51PM (#30076185)
> You are assuming way too much good faith

I'm just going by conversations I've had with people in person and online, and assuming that this is broadly reflective of society overall. Don't get me wrong, I am quite sure that there are people who are cancelling people for sadistic pleasure and get a kick out of torturing someone and use hot-button issues to do so. However I cannot imagine this type of person outnumbering those with good-faith concerns at a 10:1 ratio.

Re:Are popular toxicity models simply profanity detectors? by Nextgrid on Tuesday January 25, 2022 @08:38PM (#30080575)
Keep in mind that someone doing it maliciously has every reason to cover it up and pretend it’s legitimate.
Re:Are popular toxicity models simply profanity detectors? by smcl on Wednesday January 26, 2022 @12:29PM (#30088578)
We're probably not going to see eye to eye on this. Honestly it sounds like you've been on the receiving end of this, and I can imagine that being a very frustrating experience so I do sympathise if that is the case. But really the world you're painting is one where you have to walk on eggshells in every conversation because a mob is waiting to pounce if you used the word "retard" as a verb or called someone "Miss" instead of "Ms" or something like that. Perhaps that might happen in the most overly-earnest, try-hard, super-woke group where everyone uses custom, ever-changing neopronouns and you're expected to remember and use every one of them. But I think those sort of people are busy enough with their own internal squabbles to be going out bothering HNers.
Re:Are popular toxicity models simply profanity detectors? by marcus_holmes on Friday January 28, 2022 @11:25AM (#30116751)
Have you ever posted anything on Twitter? It's exactly what you describe.
Re:Are popular toxicity models simply profanity detectors? by marcus_holmes on Wednesday January 26, 2022 @03:35AM (#30083148)
Which is fair enough, and I'd agree with that. But why do we then assume that everyone who says anything that could be construed as offensive is definitely malicious and needs to be cancelled?
Re:Are popular toxicity models simply profanity detectors? by smcl on Wednesday January 26, 2022 @12:16PM (#30088335)
I think it's a little unfair to assume that I would do that
Re:Are popular toxicity models simply profanity detectors? by marcus_holmes on Tuesday January 25, 2022 @05:26AM (#30070265)
I agree, but there seems to be no similar leeway for people who have said offensive things with no intent to be offensive. Any speech that could be construed as offensive is presumed to be malicious. So it seems fair to assume that taking offence needlessly is also malicious.
Re:Are popular toxicity models simply profanity detectors? by Chris2048 on Tuesday January 25, 2022 @06:42AM (#30070734)
There's another aspect too: mysterious third-party echo chambers deciding what's now offensive. The black/whitelist thing is a good example; very often the topic is introduced as if the issue is resolved "we got together and had a discussion, and yes it is offensive" and suddenly everyone not present in that conversation has to accept this verdict.

Other times, you get the "well it's so very easy to make this small change, it's practically rude (or suspicious) not to" - a completely wrong sentiment for many reasons, but easy to make you look difficult for arguing about.

Re:Are popular toxicity models simply profanity detectors? by southerntofu on Tuesday January 25, 2022 @05:38AM (#30070339)
I agree, but the fact that different sensibilities can have very strong/opposite opinions about a situation proves that bots are unsuited to regulate human behavior as a "neutral" judgement, which was the original point :)
Re:Are popular toxicity models simply profanity detectors? by Gareth321 on Tuesday January 25, 2022 @03:38AM (#30069628)
I don't contend that. I'm arguing that the cost of the move to a perception based standard is far higher than the former. I'm arguing that it is, in effect, completely unenforceable, arbitrary, and destructive to not just individuals, but society as a whole.

Free speech is not without cost, but it has been successfully utilised to everyone's benefit for hundreds of years. I can only surmise that those advocating for this have never read about or understood the importance of the Enlightenment. They don't understand the horror of living under a social regime where the powerful control language and effectively thought. They don't understand why the ability to risk offense is critical for democracy, science, and social progress. Eliminating free speech will harm the most vulnerable in society; not the most powerful.

Re:Are popular toxicity models simply profanity detectors? by watwut on Tuesday January 25, 2022 @03:54AM (#30069722)
> Free speech is not without cost, but it has been successfully utilised to everyone's benefit for hundreds of years.

American history itself had tons and tons of situation where people risked a lot for saying things - including death. All within the scope you talk about. The time span you talk about include runup to civil war, civil war, reconstruction - all of which were full of political violence.

This also when dueling was the thing. Where men of means were expected to shoot each other over words. If you did not, you was effectively over in that town. And the line between "duel worthy" offense and not could be very thin.

> Eliminating free speech will harm the most vulnerable in society; not the most powerful.

Moreover, we are not talking here about legal standard at all. Neither was legal standard EVER. You could legally seek to insult and offend people as much as you wanted. Nobody cared about intent. This is about when people say "you are jerk".

There is threat to free speech, especially with new proposed laws, but it has zero to do with intent vs effect.

Re:Are popular toxicity models simply profanity detectors? by Gareth321 on Tuesday January 25, 2022 @04:27AM (#30069946)
>American history itself had tons and tons of situation where people risked a lot for saying things - including death.

You would think we would learn from these examples and make offensive speech more acceptable, rather than less.

I'm not sure how you conflated legality with social acceptance. My arguments center around the later.

Re:Are popular toxicity models simply profanity detectors? by mbg721 on Tuesday January 25, 2022 @08:44AM (#30071677)
I don't know that you can take dueling at face-value; dueling got to the point where you were expected to show up to the duel, but actually shooting someone dead was classless and would have made you a social pariah.
Re:Are popular toxicity models simply profanity detectors? by throwaway0a5e on Tuesday January 25, 2022 @09:52AM (#30072374)
>American history itself had tons and tons of situation where people risked a lot for saying things - including death. All within the scope you talk about. The time span you talk about include runup to civil war, civil war, reconstruction - all of which were full of political violence.

Now do European history pre-enlightement.

It was way, way worse. Shit talk the church and the inquisition slows up. Complain about the cut of your grain that the mill takes and the local lord threatens you lest other peasants start complaining.

The acceptance of freedom of speech as a general principal has greatly increased the civility of civilization.

Re:Are popular toxicity models simply profanity detectors? by forgingahead on Tuesday January 25, 2022 @03:46AM (#30069676)
I can only surmise that those advocating for this have never read about or understood the importance of the Enlightenment. They don't understand the horror of living under a social regime where the powerful control language and effectively thought. They don't understand why the ability to risk offense is critical for democracy, science, and social progress. Eliminating free speech will harm the most vulnerable in society; not the most powerful.

You are certainly correct - unfortunately the people burning the books are not the ones reading or writing them (even if they pretend to do so, with advanced credentials or padded resumes).

Re:Are popular toxicity models simply profanity detectors? by tenebrisalietum on Tuesday January 25, 2022 @07:25AM (#30071010)
Standards based on perception sounds ugly at first, but fundamentally it's an expression that you don't have an automatic entitlement to communicate with me. Should a big external entity like government or companies control that? No. Bu I'm totally fine for accepting complete responsibility for filtering my communications intake. I just wish that ...

- all social media implemented simple word filters. A word is on YOUR list, the post or chat line doesn't make it to your page/chat. It'd be awesome if these lists were exportable, syncable, and tradeable online.

And I wish the AI revolution would benefit me personally instead of companies.

I would like an AI that censors on my behalf only if and when I want it to, and a personalized AI that I can train to flag accounts/people that I don't want to interact with based on language. I would also like some mechanism to indicate how much is getting caught in the AI-generated filters and allow me to stop or modify its behavior. Once the AI is doing mostly what I want, I would like to be able to share it. I don't know how that would work.

- Group owners should have similar mechanisms for all posts in a group.

Re:Are popular toxicity models simply profanity detectors? by skissane on Tuesday January 25, 2022 @04:19AM (#30069899)
> "Fag" in the UK is frequently used to refer to cigarettes.

Another example: faggots are a traditional meatball dish from parts of England and Wales-the term has nothing to do with anyone’s sexuality. And yet, American social media companies have repeatedly blocked British users for posting about the dish.

There is also a British pudding called “spotted dick” - in this context, “dick” is a dialectical term for “pudding”, no known connection with genitalia.

A friend of my wife recently had her Facebook account restricted for making a post about cooking jerk chicken for dinner. Facebook claimed she was using “abusive language”

Re:Are popular toxicity models simply profanity detectors? by OJFord on Tuesday January 25, 2022 @07:23AM (#30070987)
I'm not sure if it's an example (surely it's used in AmE too?) but in a spectacularly dumb one, I felt, Amazon recently discarded (completely! no possibility to edit it!) my lengthy & detailed & photograph-laden review, because I commented on the quality of the 'knob'.
Re:Are popular toxicity models simply profanity detectors? by gs17 on Tuesday January 25, 2022 @09:58AM (#30072452)
Yes, in American English we have non-genital knobs as well. Very bizarre they would take down a review for that.
Re:Are popular toxicity models simply profanity detectors? by OJFord on Tuesday January 25, 2022 @11:41AM (#30073972)
Didn't even accept it in the first place. I would have reworded it happily of course - but it really annoyed me and put me off ever bothering to review anything that it just completely destroyed it; I could start again from scratch but all my effort was wasted so just abandoned it at that point.
Re:Are popular toxicity models simply profanity detectors? by xdennis on Tuesday January 25, 2022 @07:42AM (#30071131)
Apparently it's been renamed "spotted richard" in parliament[1].

[1]: https://news.sky.com/story/spotted-dick-renamed-spotted-rich...

Re:Are popular toxicity models simply profanity detectors? by pjc50 on Tuesday January 25, 2022 @04:30AM (#30069965)
Br.Eng. has had plenty of experience evolving under censorship, it's where our great tradition of innuendo comes from. I'm thinking particularly of Polari (Roma-influenced gay slang), and how Kenneth Williams got an entire comedy show packed with man-on-man innuendo to be broadcast regularly on national radio in the middle of the afternoon (Round the Horne). At a time when homosexuality was illegal.

Or try explaining panto to Americans. Or even Allo Allo, a show which would .. definitely not be made nowadays.

I've seen false positives referred to as the "Scunthorpe problem". Someone on the internet has a nice map of filthy-sounding real UK place names ...

Re:Are popular toxicity models simply profanity detectors? by twic on Tuesday January 25, 2022 @06:30AM (#30070651)
> I've seen false positives referred to as the "Scunthorpe problem". Someone on the internet has a nice map of filthy-sounding real UK place names ...

There's a reason Essex University had to register sx.ac.uk as an alternative domain name.

Re:Are popular toxicity models simply profanity detectors? by vintermann on Tuesday January 25, 2022 @05:47AM (#30070394)
Interesting! "Polare" is slang for buddy in Swedish. Maybe it is a Romani loanword?
Re:Are popular toxicity models simply profanity detectors? by vidarh on Tuesday January 25, 2022 @02:09AM (#30069044)
> How are you going to train an AI to know the context that the person might be talking about bread instead of a woman?

For starters, you can't unless you actually include the context in the training set.

Then again, a lot of humans won't successfully manage that either...

Re:Are popular toxicity models simply profanity detectors? by AnthonyMouse on Tuesday January 25, 2022 @02:22AM (#30069137)
> For starters, you can't unless you actually include the context in the training set.

It's worse than that. The context doesn't just have to be in the training set. It also has to be available on the other end, when you're using the model to make a determination. And it isn't.

Which is why even human censors can't get it right. The parties communicating can, and almost always do, have external shared state that The Decider doesn't. Which gives the same words different meaning.

Imagine hearing an inside joke you're on the outside of and then being asked to adjudicate whether it was offensive.

Re:Are popular toxicity models simply profanity detectors? by vidarh on Tuesday January 25, 2022 @03:10AM (#30069431)
Sure, but you do have extra context you can make available on both ends, but that I'm assuming most don't even try to include.

E.g. if judging tweets for example you'd presumably do a lot better if you evaluated the tweets in context of followers and in context of past tweets - both recent and the accounts history. E.g. an account that posts white supremacy tweets regularly is likely to mean something entirely different if RT'ing a BLM tweet with "that is fucking awesome" than what someone with #BLM in their profile is likely to mean.

Part of the problem is that they're throwing away a huge amount of the state they do in fact have.

But I absolutely agree it's in general an unsolvable issue - I pointed to a story from my childhood elsewhere showing how trivially people cause problems for "The Decider": A childhood friend being forced not to call his brother names and switching to using names of cheeses.

Is "Edam" an insult or a food preference? You can't know without context.

And it needs to be very local context, because humans very quickly pick up on when you just start using a word to mean something else, so it doesn't even need to be any shared external state about the word, just a shared understanding of where the receiver might expect an insult coupled with an unexpected response that will then easily get labelled an insult. That unexpected term might well in itself be positive if the receiver expects criticism. "Awesome" and "I love it!" are perfectly good insults when the other party has just told you something where the appropriate response would be negative, for example.

Re:Are popular toxicity models simply profanity detectors? by AnthonyMouse on Wednesday January 26, 2022 @11:49AM (#30087910)
> E.g. if judging tweets for example you'd presumably do a lot better if you evaluated the tweets in context of followers and in context of past tweets - both recent and the accounts history.

Must never use followers. Or anything else the account holder has no control over. Otherwise you'll end up with the same kind of SEO problems where competitors and foreign governments create fake accounts to follow or interact with disfavored ones and destroy their algorithmic reputation.

Guilt by association in general is malice. Someone who regularly interacts with white supremacists might be a white supremacist -- and maybe 90% of them are -- but it could also be someone criticizing, mocking or debunking them. And if it gets out that the algorithm is penalizing people for doing that, they'll stop. Which is very bad.

Re:Are popular toxicity models simply profanity detectors? by Talanes on Thursday January 27, 2022 @09:49PM (#30110170)
Even using who an account follows incentivizes echo chambers, more than they already are.

I specifically follow a few locals that I would often notice upset with the same politicians that I was, but for diametrically different reasons. Even though I disagree with them on most everything, I find value in having a few of those voices on my feed visibly attached to a consistent person. It helps me to resist seeing the "other side" as just an impersonal sea of voices.

Re:Are popular toxicity models simply profanity detectors? by pph on Tuesday January 25, 2022 @03:52AM (#30069709)
That reminds me of Chinese online censorship / banning of words, which lead to people using homoglyphs or homophones.
Re:Are popular toxicity models simply profanity detectors? by echen on Tuesday January 25, 2022 @03:15AM (#30069473)
> For starters, you can't unless you actually include the context in the training set.

100%. It's crazy how often context is missing from datasets! We wrote a separate blog post recently about this too: https://www.surgehq.ai/blog/why-context-aware-datasets-are-c...

Re:Are popular toxicity models simply profanity detectors? by marcus_holmes on Tuesday January 25, 2022 @04:12AM (#30069846)
Nonce. Means paedophile in the UK, apparently [0]. I was brought up in the UK and only discovered this recently (the bad way). So not even the whole of the UK, but only parts of it.

Obviously also a technical term used all the time in its technical sense with no problem.

Context and culture is way more important than the actual words used when trying to determine the meaning of a statement.

https://www.urbandictionary.com/define.php?term=nonce

Re:Are popular toxicity models simply profanity detectors? by native_samples on Tuesday January 25, 2022 @04:44AM (#30070053)
Supposedly the term originates in a UK prison sign N.O.N.C.E. used around the turn of the century, meaning "not on normal courtyard exercise".

"Obviously also a technical term used all the time in its technical sense with no problem."

Or sometimes not ... a blog I'm involved with recently had a WordPress server problem which caused commenters to receive a message like "Illegal operation: bad nonce". The readers are non technical and mostly British. Some had to be calmed down a bit!

Maybe it's an age thing? Everyone my age knows what nonce means but mostly because it was so amusingly satirized by Brass Eye in the late 90s at the height of a media induced paedophilia scare. Chris Morris got politicians and celebrities to say stupid stuff on camera by telling them it was for charity literally called Nonce Sense:

"Did you know that a child under the influence of a paedophile may smell like hammers? That's right - I'm talking Nonce Sense"

https://thesundae.net/2021/01/21/talking-nonce-sense-in-prai...

The program was a sensation at the time but probably only within a certain age group. I can't imagine that sort of satire would have appealed to older people.

Re:Are popular toxicity models simply profanity detectors? by marcus_holmes on Tuesday January 25, 2022 @06:48AM (#30070767)
it could be age-related. Though I was in the UK in the late 90's and don't remember this at all. But then, I discovered the internet and stopped watching TV completely around then too.
Re:Are popular toxicity models simply profanity detectors? by Balero on Tuesday January 25, 2022 @05:46AM (#30070390)
It's pretty prevalent in the UK, though the topics that it comes up in aren't all that common outside of the newspapers.

There have been some unfortunate mistakes from companies not aware of this. https://www.dailymail.co.uk/news/article-9760601/Cryptocurre...

Re:Are popular toxicity models simply profanity detectors? by haunter on Tuesday January 25, 2022 @03:51AM (#30069705)
Faggots are also a food in the UK. It was a poor man's dish, using offals. Not so popopular anymore but you can still find it in some stores (and probably at local butchers in the Midlands and Wales)

https://groceries.aldi.co.uk/en-GB/p-mr-brains-6-pork-faggot...

Re:Are popular toxicity models simply profanity detectors? by skissane on Tuesday January 25, 2022 @04:22AM (#30069915)
HN marked this comment as dead. Looks like HN has some of the same problem we are talking about here

Before I noticed this comment, I made one of my own, making the same point - and it seems HN has marked it as dead for much the same reason: https://news.ycombinator.com/item?id=30069899

‘Tis ironic. (edit: thank you to whoever vouched my comment, it isn't dead any more)

Re:Are popular toxicity models simply profanity detectors? by vidarh on Tuesday January 25, 2022 @06:23AM (#30070610)
While there's a touch of irony, it the HN system of letting users see dead comments and vouch for them is also a good example of how this kind of filtering can be done in a far less brutal way than outright blocks. If we could trust these filters to only be used for relatively soft touch blocks like this, then false positives wouldn't be such an issue.
Re:Are popular toxicity models simply profanity detectors? by mdoms on Tuesday January 25, 2022 @02:53AM (#30069316)
I have been banned from a subreddit for using the word "cunt" in an affectionate way. We must not let Americans design these models.
Re:Are popular toxicity models simply profanity detectors? by js8 on Tuesday January 25, 2022 @02:31AM (#30069179)
> Has anyone realised yet that almost all of this folly?

This guy did: https://youtu.be/3-son3EJTrU

Humans are inventing double-entendres to create the ambiguity.

Re:Are popular toxicity models simply profanity detectors? by eecc on Tuesday January 25, 2022 @02:24AM (#30069149)
That’s why you introduce USA-style puritan PoCo.

there are enough trigger happy people with less understanding than an AI, all eager to kick enough rages to wear down a saint…

Re:Are popular toxicity models simply profanity detectors? by jgrahamc on Tuesday January 25, 2022 @05:23AM (#30070249)
Now imagine being called my name. A John is a prostitute’s client and as for Cumming.
Re:Are popular toxicity models simply profanity detectors? by hnbad on Tuesday January 25, 2022 @07:39AM (#30071109)
Let's be clear about this: the purpose of these models is to cut costs, not to accurately gauge what was said.

Many business models based on user generated content wouldn't be possible if the businesses had to pay minimum wage to people for moderating that content. Using an AI model, no matter how broken, allows them to seem more concerned than if they were just relying on an old-school word filter without doing any actual due diligence.

Re:Are popular toxicity models simply profanity detectors? by Lucasoato on Tuesday January 25, 2022 @05:07AM (#30070174)
The absurdity is so high that to lower the amount of hate-speech Facebook started banning the word "hate" (and translations).

This isn't documented anywhere, but I find it hilarious and dystopian that posts that contain the world "hate" in the description or in the comments get blocked more easily, or soft-banned (they don't show up in anyone's feed), even if the word is used in harmless contexts...

Re:Are popular toxicity models simply profanity detectors? by zeruch on Tuesday January 25, 2022 @01:19PM (#30075677)
That language aspect aside (it's difficult enough to wrap around), the abject and consistent failure around contextual cues is abysmal. Sarcasm, deflection and other aspects of talking patterns in relationships (e.g. I have a good friend and we consistently threaten each other with ever more Rube Goldbergian forms of cartoonish violence -such as offering to trebuchet them into a wall of shattered glass coated in guano- when one of us says something fleetingly dumb, as a running gag. FB has flagged this more than once, and it's dumb AF).

Content management done well is expensive, and requires humans with superior grokking skills. No place cares enough to try.

Re:Are popular toxicity models simply profanity detectors? by toss1 on Tuesday January 25, 2022 @10:34AM (#30072918)
Context, and the inability to actually have any understanding is the entire problem with what is called "AI" these days.

Sure "AI" can do a lot of impressive first-level pattern matching, and that can be the basis of many useful outputs.

But ANYTHING that requires actually understanding the context, whether it is existence of new obstacles for a 'self-driving' vehicle, understanding of actual meaning for a language model, or anything else, is a complete and utter failure.

Despite appearances, while some of it is genuinely useful, we're really no further than fancy parlor tricks. Crack even the next level of contextual understanding, and it will be an astonishing leap.

Re:Are popular toxicity models simply profanity detectors? by s3tz on Tuesday January 25, 2022 @02:10AM (#30069053)
With companies like that, at the end of the day they only really answer to shareholders so every problem is a nail.
Re:Are popular toxicity models simply profanity detectors? by Gareth321 on Tuesday January 25, 2022 @02:54AM (#30069334)
So we hope that customers eventually stop using their services, hurting their bottom line.

I've been following some drama in chat/user interaction in modern games. People are getting banned in Forza Horizon 5 for funny decals. One guy got an 8,000 year ban for a Kim Jong-un KFC paint job (https://i2-prod.dailystar.co.uk/incoming/article25686363.ece...).

EA is banning entire accounts - access to ALL games on an account - for swearing in Apex Legends. All of the major studios are in the process of severely restricting and even removing chat in their games.

The latest Battlefield 2042 game doesn't even have voice chat, and they removed the global scoreboard altogether because they didn't want poorly performing players to know how poorly they were performing.

The list goes on and on. To me, this is all a serious reduction in the enjoyment I have in games. I grew up playing Counter Strike, and s**-talking and competing was a big part of the experience. I just won't play games where I'm not allowed to interact with other players.

Re:Are popular toxicity models simply profanity detectors? by DocTomoe on Tuesday January 25, 2022 @03:37AM (#30069623)
The market will solve that. People will stop giving crazy companies money when their products become "not fun". See: Battlefield 2042 failing pretty hard.

That being said: I specifically only buy entertainment products that do NOT require me to listen to some 14-year-old describing sexual activity with my female family members in great detail because his nonexistent skills make me keep winning. Different strokes for different blokes.

Re:Are popular toxicity models simply profanity detectors? by aardvark179 on Tuesday January 25, 2022 @05:48AM (#30070406)
The whole thing about shit talking in games was also the reason I never wanted to play most of them, and why games like Journey were so refreshing.

At some point games companies were bound to notice the ways voice chat limited their market and remove it.

Re:Are popular toxicity models simply profanity detectors? by NikolaeVarius on Tuesday January 25, 2022 @08:02AM (#30071292)
What happened to just muting everyone if you dont like it

Stop taking features away from the rest of us

Re:Are popular toxicity models simply profanity detectors? by Foobar8568 on Tuesday January 25, 2022 @03:05AM (#30069400)
And words with multiple meaning (and opposite meaning) depending of context or voice intonation.
Re:Are popular toxicity models simply profanity detectors? by capableweb on Tuesday January 25, 2022 @09:07AM (#30071897)
> Has anyone realised yet that almost all of this folly? I suppose not when there is money to be made.

Yes, of course everyone realizes that no filter actually works in practice. But they are not built to work, they are built to give the smallest impression of working. Tumblr doesn't need their site to be absolutely clear of nudity to attract investors, they only need to give the impression that it's absolutely clear of nudity and that they are trying to keep it so.

Re:Are popular toxicity models simply profanity detectors? by monkeybutton on Tuesday January 25, 2022 @03:53AM (#30069718)
The same argument can be made for machine translation. For an algorithm to be able to successfully translate an entirely new idiom, expression or metaphor, it has to be aware of the real world and context it came from. Until there is some level of AGI that can observe and interpret the world on its own, translation and toxicity detection will be limited to examples included in training data.