My 2014 paper on computational politics. Big data; targeting; modeling; persuasion; experimentation; platforms. http://firstmonday.org/article/view/4901/4097 …pic.twitter.com/5ndhPq9cSA
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2016 paper specifically focusing on giant platforms and machine learning, and what that means for the public sphere. http://www.mitpressjournals.org/doi/full/10.1162/DAED_a_00366 …pic.twitter.com/mHlgcEt5Ey
Yep. In this way, it really is like the 2008 crash.https://twitter.com/PaulGuinnessy/status/918841616005304325 …
Also, "nobody could've foreseen" ignores the many, many people from marginalized communities who've been *yelling*.https://twitter.com/sara_ann_marie/status/918842676526682112 …
Also, this is nonsense. I'm glad there is attention on the topic, but the amount of nonsense being produced is staggering.pic.twitter.com/vCxlFSQPT5
Yes. No need to excuse this.https://twitter.com/sara_ann_marie/status/918842676526682112 …
For ex, this is inexcusable and stems from FB business model. "We were blindsided" is an excuse that doesn't work.https://twitter.com/kashhill/status/918879436241485825 …
I said this yesturday 8 think we should host the Casandra conference to highlight the women who did see.
Plus it almost makes it sound like nature, there's nothing can be done to stop it, when we know there are techniques that can at least limit
Shoshana Zuboff is good on this. https://link.springer.com/article/10.1057/jit.2015.5 …pic.twitter.com/pgKWCou50d
Silicon Valley also tends to treat each ethical issue like a bug fix: whoops, we'll squash it. Avoids a macro view of history, systems.
YES! When are we going to refactor, and address the underlying design flaws?
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