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Deciphering emoji variation in courts: a social semiotic perspective

Author

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  • Jiamin Pei

    (Zhejiang Gongshang University)

  • Le Cheng

    (Zhejiang University)

Abstract

Emojis are increasingly being used as digital evidence in courts due to the miscommunication and misinterpretation arising from the high variability of their usage and interpretation. Emojis in courts have been extensively researched in extant studies, but relatively little attention has been paid to the emoji variation phenomena in Chinese courts. Through an empirical qualitative content analysis of the court judgments in China and the United States and some supplementary materials, this study posits that an emoji’s meaning in courts can be subject to the following six categories of variations: i. variation across platforms, including devices, operating systems, software programs and clients; ii. temporal variation; iii. variation in court cases under different rules of evidence; iv. variation in individual participants; v. variation across social groups; and vi. linguistic-cultural variation. From a social semiotic perspective, emojis as dynamic signs have great meaning potentials, making their meanings context-dependent and interpreter-dependent. For this reason, it is suggested that legal professionals untangle and weave historical, social, cultural and legal contexts into the interpretation of an emoji’s meaning. Moreover, a probe into the contextualized configuration of emojis can offer practical insights into the interpretation of emoji-bearing texts in judicial decision-making as well as the admissibility and investigation of digital evidence in courts.

Suggested Citation

  • Jiamin Pei & Le Cheng, 2022. "Deciphering emoji variation in courts: a social semiotic perspective," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
  • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01453-5
    DOI: 10.1057/s41599-022-01453-5
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    References listed on IDEAS

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    1. Petra Kralj Novak & Jasmina Smailović & Borut Sluban & Igor Mozetič, 2015. "Sentiment of Emojis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
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    Cited by:

    1. Le Cheng & Xiuli Liu & Chunlei Si, 2024. "Identifying stance in legislative discourse: a corpus-driven study of data protection laws," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.

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