We're building an artificial intelligence-powered dystopia, one click at a time, says techno-sociologist Zeynep Tufekci. In an eye-opening talk, she details how the same algorithms companies like Facebook, Google and Amazon use to get you to click on ads are also used to organize your access to political and social information. And the machines aren't even the real threat. What we need to understand is how the powerful might use AI to control us -- and what we can do in response.
In the just released EIP report, North Carolina’s overall electoral integrity score of 58/100 for the 2016 election places us alongside authoritarian states and pseudo-democracies like Cuba, Indonesia and Sierra Leone. If it were a nation state, North Carolina would rank right in the middle of the global league table – a deeply flawed, partly-free, democracy that is only slightly ahead of the failed democracies that constitute much of the developing world.
Fake news is the easiest of the problems to fix.
…a new set of ways to report and share news could arise: a social network where the sources of articles were highlighted rather than the users sharing them. A platform that makes it easier to read a full story than to share one unread. A news feed that provides alternative sources and analysis beneath every shared article.
This sounds like the kind of platforms I’d like to have. Reminiscent of some of the discussion at the beginning of This Week in Google: episode 379 Ixnay on the Eet-tway.
I suspect that some of the recent coverage of “fake news” and how it’s being shared on social media has prompted me to begin using Reading.am, a bookmarking-esqe service that commands that users to:
Share what you’re reading. Not what you like. Not what you find interesting. Just what you’re reading.
Naturally, in IndieWeb fashion, I’m also posting these read articles to my site. While bookmarks are things that I would implicitly like to read in the near future (rather than “Christmas ornaments” I want to impress people with on my “social media Christmas tree”), there’s a big difference between them and things that I’ve actually read through and thought about.
I always feel like many of my family, friends, and the general public click “like” or “share” on articles in social media without actually having read them from top to bottom. Research would generally suggest that I’m not wrong.   Some argue that the research needs to be more subtle too.  I generally refuse to participate in this type of behavior if I can avoid it.
Some portion of what I physically read isn’t shared, but at least those things marked as “read” here on my site are things that I’ve actually gone through the trouble to read from start to finish. When I can, I try to post a few highlights I found interesting along with any notes/marginalia (lately I’m loving the service Hypothes.is for doing this) on the piece to give some indication of its interest. I’ll also often try to post some of my thoughts on it, as I’m doing here.
Gauging Intent of Social Signals
I feel compelled to mention here that on some platforms like Twitter, that I don’t generally use the “like” functionality there to indicate that I’ve actually liked a tweet itself or any content that’s linked to in it. In fact, I’ve often not read anything related to the tweet but the simple headline presented in the tweet itself.
The majority of the time I’m liking/favoriting something on Twitter, it’s because I’m using an IFTTT.com applet which takes the tweets I “like” and saves them to my Pocket account where I come back to them later to read. It’s not the case that I actually read everything in my pocket queue, but those that I do read will generally appear on my site.
There are however, some extreme cases in which pieces of content are a bit beyond the pale for indicating a like on, and in those cases I won’t do so, but will manually add them to my reading queue. For some this may create some grey area about my intent when viewing things like my Twitter likes. Generally I’d recommend people view that feed as a generic linkblog of sorts. On Twitter, I far more preferred the nebulous star indicator over the current heart for indicating how I used and continue to use that bit of functionality.
I’ll also mention that I sometimes use the like/favorite functionality on some platforms to indicate to respondents that I’ve seen their post/reply. This type of usage could also be viewed as a digital “Thank You”, “hello”, or even “read receipt” of sorts since I know that the “like” intent is pushed into their notifications feed. I suspect that most recipients receive these intents as I intend them though the Twitter platform isn’t designed for this specifically.
I wish that there was a better way for platforms and their readers to better know exactly what the intent of the users’ was rather than trying to intuit them. It would be great if Twitter had the ability to allow users multiple options under each tweet to better indicate whether their intent was to bookmark, like, or favorite it, or to indicate that they actually read/watched the content on the other end of the link in the tweet.
In true IndieWeb fashion, because I can put these posts on my own site, I can directly control not only what I post, but I can be far more clear about why I’m posting it and give a better idea about what it means to me. I can also provide footnotes to allow readers to better see my underlying sources and judge for themselves their authenticity and actual gravitas. As a result, hopefully you’ll find no fake news here.
Of course some of the ensuing question is: “How does one scale this type of behaviour up?”
Americans are no wiser than the Europeans who saw democracy yield to fascism, Nazism, or communism. Our one advantage is that we might learn from their experience. Now is a good time to do so. Here are twenty lessons from the twentieth century, adapted to the circumstances of today.
Charles Seife doesn’t prove that mathematics is essential for a democracy, but he certainly shows how the lack of proper use of mathematics can fray heavily at the edges!
Proofiness was a great book to have read over a long Fourth of July holiday. Though many people may realize some of the broad general concepts in the book, it’s great to have a better structure for talking about concepts like Potemkin numbers, disestimation, fruit packing, cherry picking, apple polishing, comparing apples to oranges, causuistry, randnumbness, regression to the moon, tragedy of the commons, and moral hazard among others. If you didn’t think mathematics was important to daily life or our democratic society, this book will certainly change your mind.
Seife covers everything from polls, voting, politics, economics, marketing, law, and even health to show how numbers are misused in a modern world that can ill-afford to ignore what is really going on around us.
This is a fantastic book for nearly everyone in the general public, but I’d highly recommend it for high school students while taking civics.