🐱 Activision's video game diversity tool draws backlash

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Activision Blizzard’s unveiling of a new software program meant to increase diversity in the casts of video games has become a textbook example of what not to do.

Driving the news: The publisher announced the “Diversity Space Tool” last Thursday as “a leap forward for inclusion in gaming,” but by Friday evening had scrubbed those words and more from its online announcement, as developers from the company began slamming it.

Details: The tool starts users with a blank graph, asks them to establish a norm in the middle for a character in a given game genre and has them plot out how different a given character is. It will create a larger shape for a character who is, say, non-white, queer or has a disability.

  • Activision framed it as a method for “avoiding tokenism, stereotypes, and exclusion” and described “enthusiastic” reactions from its Call of Duty and Overwatch development teams.
  • It called the tool “tangible software that would create and monitor guidelines for character conception and creation.”
But the announcement, which included images of the tool that showed numerical values assigned to characters’ ethnicity and sexuality, drew backlash online and across games media. It was labeled “mildly dystopian,” “creepy” and “a glorified Dungeons & Dragons character sheet that makes no ... sense.”

  • Two Overwatch designers tweeted that they hadn’t used or seen the tool before, and the references in Activision's announcement to the teams praising the tool were removed.
  • “God I swear our own company tries so hard to slaughter any good will the actual devs who make the game have built,’” wrote Activision character artist Melissa Kelly in a tweet that went viral.
  • "You know what drives our diversity?” she added. “The devs! We have people who work on the game from these cultures. That's it! That's literally it.”
Between the lines: One of the early architects of the tool says it was not meant to put a score on diversity or replace “common sense” when developers are making a character in a game.

  • “The idea was to slow down time a little bit and have a little bit more discussion and reflection at that crucial point of creation,” MIT Gamelab research coordinator Mikael Jakobsson tells Axios.
  • The project had started several years ago at Swedish mobile studio King by developers who were inspired by a presentation from Anita Sarkeesian, a prominent cultural critic who regularly speaks against stereotypes in game characters. The King designers created a paper prototype for graphing a character’s diversity, presented it at the Game Developers Conference in 2017 and tapped MIT to help make a digital version that could eventually be used by game makers around the world.
  • Jakobsson’s involvement with the project ended in 2019, when MIT gave the studio a workable version. The vision, he said, was to offer it as part of a workshop, alongside readings, and to avoid putting stats on character traits, lest it reduces efforts for diversity to “a numbers game." He lost track of the tool over the last few years and assumed it had been scuttled.
  • Last spring, however, long before showcasing it to the public, Activision mentioned it in a message to shareholders as a top bullet point for its efforts tied to diversity, equity and inclusion.
What's next: The Diversity Space Tool is not being used in active game development, Activision said Friday.

  • A tweet from company president Daniel Alegre last week celebrating its announcement has since been deleted.
 
The same way factory owners and elites did it back then. Some characters will be completely useless and a drag while some fit all situations.

Now you just do very simple stats and find which ethnic group, gender, culture or orientation they come from and now you can label them inferior.

You could even have trolls make up their own power ranking system to fit the racial science aspect. It is identical to what happened in the 1920s. They will label races, etc. As inferior because their characters suck.
These are problems caused by the racial politics themselves, not the quantification thereof. Also, these are game characters, not factory workers. All this does is hold up a mirror.
 
These are problems caused by the racial politics themselves, not the quantification thereof. Also, these are game characters, not factory workers. All this does is hold up a mirror.
Racial Science is Racial politics. Why do you think major immigrant groups at the time were targeted? Because they were the ones being used. This also followed through every area of society.

Do you not understand statistics? I can assign a number to race. Black is 1, White is 2, Other is 3. Then I can do the same to power level, making it a scale of 1 to 10. Suddenly now I have a statistical method to rate which race is the most powerful. They didn't just quantify shit back then either, they used statistics just like in my example to justify their treatment of 'non-whites'

(And if you are curious on rankings, it went Irish, Hispanic, Slavs, Italians, Native American and African in order of whatever the fuck. At least I think that's how it went).

EDIT:
I just realized I accidentally taught someone how to do this. Fuck me.
 
Racial Science is Racial politics. Why do you think major immigrant groups at the time were targeted? Because they were the ones being used. This also followed through every area of society.

Do you not understand statistics? I can assign a number to race. Black is 1, White is 2, Other is 3. Then I can do the same to power level, making it a scale of 1 to 10. Suddenly now I have a statistical method to rate which race is the most powerful. They didn't just quantify shit back then either, they used statistics just like in my example to justify their treatment of 'non-whites'

(And if you are curious on rankings, it went Irish, Hispanic, Slavs, Italians, Native American and African in order of whatever the fuck. At least I think that's how it went).

EDIT:
I just realized I accidentally taught someone how to do this. Fuck me.
My statement was differentiating quantification from the politics, and you wrote all that just to say that the quantification/science is the politics and then say the why the quantification is bad because of the politics, and then you explain quantification and act like you taught me something.

That was really a lot of words to just completely ignore my point.
 
You know you fucked up when even Tumblr is clowning on you.

Tumblr_l_41619540778287.png
 
As laughable as it is to see it officialized in tool form, I’m pretty sure these are the exact mental calculations tumblr/twitter people do to see how satisfied they should be when Overwatch reveals a new character (I distinctly remember people being angry about Sigma because his mental illness didn’t score enough diversity points to offset him being a white guy with an average body)
 
Racial Science is Racial politics. Why do you think major immigrant groups at the time were targeted? Because they were the ones being used. This also followed through every area of society.

Do you not understand statistics? I can assign a number to race. Black is 1, White is 2, Other is 3. Then I can do the same to power level, making it a scale of 1 to 10. Suddenly now I have a statistical method to rate which race is the most powerful. They didn't just quantify shit back then either, they used statistics just like in my example to justify their treatment of 'non-whites'

(And if you are curious on rankings, it went Irish, Hispanic, Slavs, Italians, Native American and African in order of whatever the fuck. At least I think that's how it went).

EDIT:
I just realized I accidentally taught someone how to do this. Fuck me.
I don't think the average person understands how shitty the "statistics" are in any of these "studies" and "tools" these people use.

I'm not against the idea we can measure abstract, non-physical concepts through statistics and learn about human behaviour. But when measurement reliability and conceptual validity are so low things become completely arbitrary and it's basically an op-ed coined as "science." Not too mention all the various ways you can distort your statistical methods, sample sizes, experimental design, ignore confounds and extraneous variables etc to shape things to the narrative you want.
 
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