General Discussion
Related: Editorials & Other Articles, Issue Forums, Alliance Forums, Region ForumsGeography of Hate: The Twitter Hate Map
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Interactive map link: http://users.humboldt.edu/mstephens/hate/hate_map.html
Article link: http://www.geekosystem.com/geography-of-hate-map/
This all stems back to an earlier Floating Sheep project where they connected President Obama with racial slurs, but this time theyve really outdone themselves. How do they know this data is only representative of intentional hate? They had a group of Humboldt State University students sort through them all and discard any that werent considered derogatory. Floating Sheeps detailed all their methodology here, and its a fascinating and recommended read.
The map itself gets pretty granular, letting you highlight only certain specific slurs or kinds of discrimination. It goes from some hate to most hate with light blue being the former and bright red being the latter. The gray everywhere else just means there wasnt any geotagged tweets for whatever specific discrimination is currently being presented.
This obviously isnt representative of all discrimination on Twitter since not every tweet gets geotagged, but its illuminating nonetheless.
Mosby
(16,306 posts)Lots better than those haters in NM, lol.
ProdigalJunkMail
(12,017 posts)former9thward
(32,002 posts)Congratulations.
ProdigalJunkMail
(12,017 posts)so that would have not passed the filter. i'll try harder next time...
sP
boston bean
(36,221 posts)What a very disturbing map.
Comrade Grumpy
(13,184 posts)pintobean
(18,101 posts)Really?
Who thinks like that?
galileoreloaded
(2,571 posts)and the best i can guess is that there is some type of intrinsic fear that says disagreeing with bigoted statements like this somehow equate to tacit or implicit approval of violence against women.
but the reality is that we, as PEOPLE, can work to curb violent crimes against PEOPLE in ways that don't require this us vs. them attitude that the same 4 or 5 posters here are constantly, over, and over, and over try to frame as normal behavior.
but, in fairness, i also have to remember that the vast majority of people don't think and act this way and can be accountable to their statements and thank goodness that statements like this only occur in a narrow lens of participants both here and in greater society.
but its NOT ok to just let this garbage just slide on by just because you are fearful of being judged for not buying into hyperbole.
ugh.
Warren DeMontague
(80,708 posts)How to explain, then, the vast discrepancies between red and blue states with regards to, for instance, anti-choice legislation?
A Little Weird
(1,754 posts)She said they did not include sexist tweets due to the sheer volume - there were well over 5 million tweets with the word "bitch" for example. Not all of that would be negative comment presumably but it would take so much money to go through the tweets that they decided it wasn't affordable for their project.
Comrade Grumpy
(13,184 posts)Funny, that.
Mosby
(16,306 posts)That's double the entire population of New Mexico.
And look where the red is, not phoenix or AZ.
postulater
(5,075 posts)Nevernose
(13,081 posts)Or there's something terribly wrong with the methodology here. Or maybe the "Mississippi of the West" has developed some kind of miracle racism cure.
On edit: I missed the total lack of racism in LA, too, or that Lake Havasu apparently has a problem with the Klan.
Mosby
(16,306 posts)Nevernose
(13,081 posts)And what appears to be either Bishop, CA, or Death Valley.
Mosby
(16,306 posts)Maybe the problem is moving south.
Warren DeMontague
(80,708 posts)"Try To Tell Us Something We Don't Know"
A Little Weird
(1,754 posts)They aggregated the tweets by county and then normalized by total number of tweets to come up with their density. I can sort of see why they would do this, but it means that in an area where you don't have that many twitter users, you could get really skewed results. Twitter use tends to be higher in urban areas and is embraced more by younger people. So a place like L.A. might have a lot of racist tweets but it will probably be low as a percent of total tweets. But Podunk, USA may have only a handful of total tweets so just one racist could turn it into a "hotspot".
Anyway, I love looking at maps and this one is interesting but I guess I need to think about it some more. It may make perfect sense if I look at it when I'm not tired.