Web 2.0 and social media has transformed users from passive audiences to active participants in new production and distribution. The change is particularly prominent in a few digital news portals that encourage users to register as news reporters. While the juxtaposition of users-generated news (UGN) and organization-generated news (OGN) has significantly affected news industry, scientific understanding of this phenomenon remains scant. To fill the research gap, this paper proposes an integrated model to investigate the difference between UGN and OGN in their linguistic feature and temporal pattern, and examine their subsequent effect on circulation performance. The research model will be tested with 450,514 news crawled from Jinritoutiao.com, a popular online news portal in China which embraces both UGN and OGN on its platform. This paper is expected to contribute to literature by revealing the strategic behavior of UGN in pursuit for circulation performance.
Gu, Jie; Wu, Yue; and Xu, Yunjie, "Linguistic Feature and Temporal Pattern of User-Generated News: Evidence from an Online News Portal in China" (2018). PACIS 2018 Proceedings. 19.