4 ms·

Compared to the number of hateful things about Muslims/democrats/gays/blacks? Yes. I’d be actually shocked to find out the reverse. A good percentage of the US

Compared to the number of hateful things about Muslims/democrats/gays/blacks? Yes. I’d be actually shocked to find out the reverse. A good percentage of the US were born up in an era where you could legally bar people based on their race from your establishment. The extremely heated fight over gay marriage is still fresh in people’s memory. Trans rights are a controversial political issue where many mainstream politicians want to legislate them out of public spaces, because of public sentiment. And for the left/right leaning question, In the last two major elections we’ve seen the political discourse even of republicans politicians and leaders is comparatively charged with violence. The hate is definitely there against the republicans and mainstream groups, but I would expect it to be relatively uncommon compared to the hateful text you can find online about other groups. This could be a real problem for novel kinds of hate speech.

catiopatio 4y ago
Have you considered that your political bubble might minimize reporting of hate and violence originating from your in-group, while amplifying reporting of hate and violence originating from your out-group?
- mattnewton 4y ago
  Yes, it’s definitely a filter I live in. And we unfortunately do not have their public training data corpus. However, it’s also true that I can trivially find clips of mainstream republican leaders over the last few years with violent charged rhetoric, and it is comparatively harder to find such rhetoric from mainstream democrats[0][1] For many of the other groups, hate has been historically so widespread and common there are whole organizations like the annti defamation league organized around combating it. There is no way that even if you believe today people are furiously writing hate against Christians into twitter 24/7 or wherever my bubble they could have caught up with the historic use of hate speech against Muslims in the wake of 9/11. And so on for the other disadvantaged groups. And all this is not to say it isn’t a potential problem or a potentially useful metric. It could be that synthetic hate is needed to anticipate new kinds of unlikely and rare sentence structures that might arise. If this is true it also reminds us that these models will need constant training as new kinds of hate speech become more popular and that it will always be lagging. [0]https://apnews.com/article/donald-trump-fred-upton-paul-gosar-alexandria-ocasio-cortez-violence-8d30613294c2a0ab54f751b881b6ec4b https://apnews.com/article/donald-trump-fred-upton-paul-gosa... [1[https://www.pbs.org/newshour/amp/show/how-some-members-of-the-republican-party-have-normalized-the-use-of-violent-rhetoric https://www.pbs.org/newshour/amp/show/how-some-members-of-th...
junofan 4y ago
There’s gotta be orders of magnitudes more than hate speech against disabled people, yet it seems to get those right.
- mattnewton 4y ago
  Not sure what you mean? It’s more sensitive against disabled people than the other, more rare strings the author chose like “non disabled people”, which would be consistent with my theory that there is more hate against disabled people in the training set and so the model is more sensitive against that being in the sequence of tokens
Levitz 4y ago
I really can't think of a large site in which discrimination for muslims/democrats/gays/blacks isn't more frowned upon than whites/republicans/christians etc. Even places like 4chan are mixed bags. Even MSM if you want to count that.
- mattnewton 4y ago
  It has to be frowned upon because it is so prevalent among fringe hate groups. If you don’t have strong moderation and social norms around it, hate against those groups is what drowns out the other text. 4chan is a great example, if you remove moderation hate against those groups seemingly spontaneously arises.

catiopatio 4y ago

Have you considered that your political bubble might minimize reporting of hate and violence originating from your in-group, while amplifying reporting of hate and violence originating from your out-group?

mattnewton 4y ago
Yes, it’s definitely a filter I live in. And we unfortunately do not have their public training data corpus. However, it’s also true that I can trivially find clips of mainstream republican leaders over the last few years with violent charged rhetoric, and it is comparatively harder to find such rhetoric from mainstream democrats[0][1] For many of the other groups, hate has been historically so widespread and common there are whole organizations like the annti defamation league organized around combating it. There is no way that even if you believe today people are furiously writing hate against Christians into twitter 24/7 or wherever my bubble they could have caught up with the historic use of hate speech against Muslims in the wake of 9/11. And so on for the other disadvantaged groups. And all this is not to say it isn’t a potential problem or a potentially useful metric. It could be that synthetic hate is needed to anticipate new kinds of unlikely and rare sentence structures that might arise. If this is true it also reminds us that these models will need constant training as new kinds of hate speech become more popular and that it will always be lagging. [0]https://apnews.com/article/donald-trump-fred-upton-paul-gosar-alexandria-ocasio-cortez-violence-8d30613294c2a0ab54f751b881b6ec4b https://apnews.com/article/donald-trump-fred-upton-paul-gosa... [1[https://www.pbs.org/newshour/amp/show/how-some-members-of-the-republican-party-have-normalized-the-use-of-violent-rhetoric https://www.pbs.org/newshour/amp/show/how-some-members-of-th...

junofan 4y ago

There’s gotta be orders of magnitudes more than hate speech against disabled people, yet it seems to get those right.

mattnewton 4y ago
Not sure what you mean? It’s more sensitive against disabled people than the other, more rare strings the author chose like “non disabled people”, which would be consistent with my theory that there is more hate against disabled people in the training set and so the model is more sensitive against that being in the sequence of tokens

Levitz 4y ago

I really can't think of a large site in which discrimination for muslims/democrats/gays/blacks isn't more frowned upon than whites/republicans/christians etc. Even places like 4chan are mixed bags. Even MSM if you want to count that.

mattnewton 4y ago
It has to be frowned upon because it is so prevalent among fringe hate groups. If you don’t have strong moderation and social norms around it, hate against those groups is what drowns out the other text. 4chan is a great example, if you remove moderation hate against those groups seemingly spontaneously arises.