This paper aims to shed light on alternative news media ecosys-tems that are believed to have influenced opinions and beliefs byfalse and/or biased news reporting during the 2016 US PresidentialElections. We examine a large, professionally curated list of 668hyper-partisan websites and their corresponding Facebook pages,and identify key characteristics that mediate the traffic flow withinthis ecosystem. We uncover a pattern of new websites being es-tablished in the run up to the elections, and abandoned after. Suchwebsites form an ecosystem, creating links from one website to an-other, and by ‘liking’ each others’ Facebook pages. These practicesare highly effective in directing user traffic internally within theecosystem in a highly partisan manner, with right-leaning sites link-ing to and liking other right-leaning sites and similarly left-leaningsites linking to other sites on the left, thus forming a filter bubbleamongst newsproducerssimilar to the filter bubble which has beenwidely observed amongconsumersof partisan news. Whereas thereis activity along both left- and right-leaning sites, right-leaningsites are more evolved, accounting for a disproportionate numberof abandoned websites and partisan internal links. We also examinedemographic characteristics of consumers of hyper-partisan newsand find that some of the more populous demographic groups inthe US tend to be consumers of more right-leaning sites.