Citation

Guo J, Mast J, Vosters R, Yang W, Penso A. Discourse Context Media 2022; 45: e100578.

Copyright

(Copyright © 2022, Elsevier Publishing)

DOI

10.1016/j.dcm.2022.100578

PMID

unavailable

Abstract

Government and market are the two main factors that drive the practices of the Chinese media system and influence the news construction process. A dramatic, socially disruptive event like the 2014 Kunming terrorist attack has the potential both to damage the government image and to attract readers. Analyzing how different types of media, more specifically the state-sponsored and the market-oriented press, construct a terrorist attack may therefore reveal essential characteristics of the Chinese media system and its relationship with both government and market. In doing so, the present study makes a contribution in terms of methodology, resources, and empirical description. From a methodological perspective, drawing on a dataset of 275 news articles about the Kunming attack that was collected from 16 mainstream Chinese newspapers, we explore the possibilities of combining computer-assisted techniques (i.e. part-of-speech tagging, sentiment analysis, collocation, and concordance) and Discursive News Values Analysis (DNVA), based on which we identified 699 Chinese lexical indicators distributed across ten news values. The open-source wordlist produced by this procedure will facilitate future quantitative DNVA, but also fills a resource gap in non-English news values studies. After calculating the mean normalized frequency of indicators under each news value on a more empirical level, we found that the state-sponsored and the market-oriented press converge in foregrounding the news values of Eliteness and Personalization, in line with public expectations, while at the same time diverging in their use of the news values of Positivity, Negativity, and Superlativeness, which we can relate to the different aims and responsibilities of these two types of newspapers.

Language: en

Keywords

Chinese media system; Corpus linguistic techniques; Discursive news values analysis (DNVA); Kunming attack; Terrorism