What Drives Hyper-Partisan News Sharing: Exploring the Role of Source, Style, and Content

Weiai Wayne Xu, Yoonmo Sang, Christopher Kim

Research output: Contribution to journalArticle

Abstract

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 necessarily other types of author information. The study uncovers a salient link between moral frames and virality. In particular, audiences are more sensitive to moral frames that emphasize authority/respect, fairness/reciprocity, and harm/care.
Original languageEnglish
Pages (from-to)486-505
Number of pages20
JournalDigital Journalism
Volume8
Issue number4
DOIs
Publication statusPublished - 20 Apr 2020

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