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Representations of 5G in the Chinese and British press: a corpus-assisted critical discourse analysis

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  • Jiamin Pei

    (Zhejiang Gongshang University)

  • Le Cheng

    (Zhejiang University)

Abstract

This study employs a corpus-assisted critical discourse analysis to demystify the dominant patterns of representations around 5G in the Chinese and British press. Keyword analyses identify four thematic categories around the representation of 5G: the nature of 5G, social actors in 5G discourse, actions around 5G and timing in 5G discourse. Findings suggest that the Chinese press tends to use positive evaluative expressions to depict 5G as a trustworthy and beneficial issue and stress China’s strong support for 5G development. In contrast, the British press prefers to frame 5G as a product of geopolitical rivalry and an issue with scientific uncertainties and controversies by repeatedly employing negative language patterns related to 5G risks and conspiracy theories. Besides, a subtle but varying “self versus other” schema is constructed by the two presses. The Chinese press is inclined to use positive predication strategies to construct a positive self-representation, whereas the British press tends to adopt negative predication strategies to portray China as an outgroup and meanwhile use scapegoating strategies to profile Britain as a positive self by using recurrent patterns denoting the pressure exerted on Britain by the United States. Such differences could result from their journalistic ideologies and values and the contrasting socio-political contexts where the two presses are situated.

Suggested Citation

  • Jiamin Pei & Le Cheng, 2024. "Representations of 5G in the Chinese and British press: a corpus-assisted critical discourse analysis," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02896-8
    DOI: 10.1057/s41599-024-02896-8
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    References listed on IDEAS

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    1. Yuhan Zhang, 2023. "China's 5G and supercomputing industrial policies: A critical (comparative) analysis," Global Policy, London School of Economics and Political Science, vol. 14(5), pages 818-831, November.
    2. Wallace Chipidza & Jie (Kevin) Yan, 2022. "The effectiveness of flagging content belonging to prominent individuals: The case of Donald Trump on Twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(11), pages 1641-1658, November.
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