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Peer-reviewedCC BY 4.0PLOS One

Discursive analysis of news values in headlines posted by the official CCTV News WeChat account

  • Huawei Tan1
  • Ng Miew Luan2
  • Rachel Sing-Ee Tan3
  • Linfei Li
  1. 1School of Literature and Journalism, Chongqing Technology and Business University, Chongqing, China
  2. 2Faculty of Education and Liberal Arts, INTI International University, Nilai, Malaysia
  3. 3School of Art and Communication, Chongqing Mobile College, Chongqing, China
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Abstract

As social media has become central to news dissemination, how Chinese state media construct news values has remained an underexplored issue. This study analyses how CCTV News uses discursive strategies in WeChat headlines. We used discursive news values analysis (DNVA) to examine 218 top-read headlines from 2014–2024. Five dominant news values emerged: personalization, eliteness, negativity, proximity, and positivity. This study extends the DNVA framework to a non-Western context and offers new insights into the interaction between news language and news values in the context of digital news dissemination.

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Cite

BibTeXRIS
BibTeX
@article{tan2026discursive,
  title = {{Discursive analysis of news values in headlines posted by the official CCTV News WeChat account}},
  author = {Huawei Tan and Ng Miew Luan and Rachel Sing-Ee Tan and Linfei Li},
  journal = {PLOS One},
  year = {2026},
  month = sep,
  doi = {10.1371/journal.pone.0359636},
  url = {https://doi.org/10.1371/journal.pone.0359636},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Discursive analysis of news values in headlines posted by the official CCTV News WeChat account
AU  - Huawei Tan
AU  - Ng Miew Luan
AU  - Rachel Sing-Ee Tan
AU  - Linfei Li
PY  - 2026
DA  - 2026/09/30
JO  - PLOS One
DO  - 10.1371/journal.pone.0359636
UR  - https://doi.org/10.1371/journal.pone.0359636
AB  - As social media has become central to news dissemination, how Chinese state media construct news values has remained an underexplored issue. This study analyses how CCTV News uses discursive strategies in WeChat headlines. We used discursive news values analysis (DNVA) to examine 218 top-read headlines from 2014–2024. Five dominant news values emerged: personalization, eliteness, negativity, proximity, and positivity. This study extends the DNVA framework to a non-Western context and offers new insights into the interaction between news language and news values in the context of digital news dissemination.
SN  - 1932-6203
ER  -