How Algorithms Amplify Our Own Biases And Shape What We See Online

I created a twitter account 2 weeks ago - after it was announced Elon was buying it and the twitter-verse went into meltdown. I followed a Republican politician and a Democratic politician, then followed some friends and fellow tech geeks. Since then, twitter keeps pushing 45's archived account, his wife's FLOTUS archived account, a couple of well know pundits. As the period of time went on I saw that I was getting more and more hard core leftists being pushed at me while the folks on the right are slowly disappearing. I've interacted with a couple of tweets (technical, not political) and nothing else. This is *my* experiment in the twitter algorithm machine - and for me, it is failing hard. There is a bias indeed. You can argue the bias is in the data or you can argue the bias is in the algorithms. I will argue that it is in both places! Especially when a certain viewpoint is throttled, the data for the accepted viewpoint grows much, much larger than the opposing viewpoint. Introducing a bias in the data - caused by a bias in the algorithms.