Gotta say, it's a nice touch to describe the outcome of 10+ years of education as the ability to write 'opinions and half-baked narratives'
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Also, what do they actually mean by 'social media'? Off the top of my head, there's: 1) the ability to share information peer-to-peer more easily? 2) black-box algorithms about what gets seen? 3) corporate policies & financial incentives? 4) [etc.]
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Replying to @neoyorquinanerd @dr_know
It's interesting they seek computer scientists, data sci, maths & politics - but don't specify sociology, anthro & other social sciences & humanities. We're not even real scientists though, so that solves that riddle.
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Replying to @OtherSociology @dr_know
I guess nobody told him lots of us get money from the National *Science* Foundation, huh?
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Replying to @neoyorquinanerd @dr_know
I look forward to the next ad where they realise they absolutely cannot do good work without the theories, concepts, methods & input of social sciences & humanities.


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Replying to @dr_know @neoyorquinanerd
Our objective opinions are objective and quantifiable!
Politics is important and needs maths!
Social media is frivolous opinions! Let's study it with REAL SCIENCE, cloak it in stats, publish it, so it becomes *not* frivolous half baked opinions.
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Replying to @OtherSociology @dr_know
Me, an anthropologist: Have you considered that 'objectivity' is a myth and that literally all takes, including the quantitative, are socially positioned? Them: But ... but ... but numbers.
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Replying to @neoyorquinanerd @dr_know
Also the social sciences & humanities have been studying social interaction since always. And social media since before it proliferated. So maybe... just maybe... quant methods aren't the real hero here?
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Replying to @OtherSociology @dr_know
Amen. Related: I'm part of a team starting a big project on public understanding of quant stuff and (in)certainty in science: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1906802&HistoricalAwards=false …
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So interesting!
Also related: I'm constantly having to explain that qual is an expert skill. Everyone in my field thinks they can dabble... yet they're afraid of stats - would never dream of just trying a little quant (
). Many people fear maths but dismiss qual methods. 
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Replying to @OtherSociology @neoyorquinanerd
Qual suffers because of its ostensible accessibility - it’s just talking and then highlighting sentences, right? By contrast even very basic quan can have appearance of complexity!
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