A growing number of hyper-partisan alternative media outlets have sprung up online to
challenge mainstream journalism. However, research on news sharing in this particular
media environment is lacking. Based on the virality of seventeen partisan outlets' coverage
of immigration and using the latest computational linguistic algorithm, the present study
probes how hyper-partisan news sharing is related to source transparency, content styles,
and moral framing. The study finds that the most shared articles reveal author names, but not …