C Thi Nguyen
aeon.co
Originally published 9 April 18
Here is an excerpt:
Let’s start with epistemic bubbles. They have been in the limelight lately, most famously in Eli Pariser’s The Filter Bubble (2011) and Cass Sunstein’s #Republic: Divided Democracy in the Age of Social Media (2017). The general gist: we get much of our news from Facebook feeds and similar sorts of social media. Our Facebook feed consists mostly of our friends and colleagues, the majority of whom share our own political and cultural views. We visit our favourite like-minded blogs and websites. At the same time, various algorithms behind the scenes, such as those inside Google search, invisibly personalise our searches, making it more likely that we’ll see only what we want to see. These processes all impose filters on information.
Such filters aren’t necessarily bad. The world is overstuffed with information, and one can’t sort through it all by oneself: filters need to be outsourced. That’s why we all depend on extended social networks to deliver us knowledge. But any such informational network needs the right sort of broadness and variety to work. A social network composed entirely of incredibly smart, obsessive opera fans would deliver all the information I could want about the opera scene, but it would fail to clue me in to the fact that, say, my country had been infested by a rising tide of neo-Nazis. Each individual person in my network might be superbly reliable about her particular informational patch but, as an aggregate structure, my network lacks what Sanford Goldberg in his book Relying on Others (2010) calls ‘coverage-reliability’. It doesn’t deliver to me a sufficiently broad and representative coverage of all the relevant information.
Epistemic bubbles also threaten us with a second danger: excessive self-confidence. In a bubble, we will encounter exaggerated amounts of agreement and suppressed levels of disagreement. We’re vulnerable because, in general, we actually have very good reason to pay attention to whether other people agree or disagree with us. Looking to others for corroboration is a basic method for checking whether one has reasoned well or badly. This is why we might do our homework in study groups, and have different laboratories repeat experiments. But not all forms of corroboration are meaningful. Ludwig Wittgenstein says: imagine looking through a stack of identical newspapers and treating each next newspaper headline as yet another reason to increase your confidence. This is obviously a mistake. The fact that The New York Times reports something is a reason to believe it, but any extra copies of The New York Times that you encounter shouldn’t add any extra evidence.
