1887
Volume 17, Issue 1
  • ISSN 1877-7031
  • E-ISSN: 1877-8798
USD
Buy:$35.00 + Taxes

Abstract

抽象的

基于大规模语料库 (共3.2万句,86万词规模),本文系统比较了中韩网络仇恨言论在性别、种族/国籍、地域三个维度的语言特征。同时,不仅描述语言现象,更深入分析其作为社会行为的语言策略与功能,揭示了两国仇恨言论背后的社会文化差异及动因。研究发现,韩国的性别仇恨言论更直接,包含针对身体特征的表演性暴力、基于派生构词法的语域化(Enregisterment),用以激化性别对立;中国则更依赖高阶指示性(Higher-order indexicality),通过隐喻或谐音间接构建性别议题。种族相关表达方面,两国的立场表达(Stance-taking)策略有所不同。韩国主要针对国内移民和外籍群体,反映内部社会紧张;中国则关注国外情景,强调集体认同。地域相关表达方面,韩国侧重于地方对立和首都中心主义;中国则受经济差距、民族多样性和社会认知差异的影响,呈现更复杂的表达模式。结论指出,网络仇恨言论并非单一现象,而是由特定语言意识形态与媒介环境共同塑造的,是反应文化特殊性的复杂言语行为。本文结合基于统计检验的关键词分析及其上下文(KWIC)考察,从定量和定性视角探讨中韩网络负面言论的语言特征及表达机制,为跨文化仇恨言论研究提供重要参考。

Loading

Article metrics loading...

/content/journals/10.1075/cld.25013.par
2025-08-29
2026-03-10
Loading full text...

Full text loading...

References

  1. Agha, Asif
    2005 Voice, footing, enregisterment. Journal of linguistic anthropology15(1): 38–59. 10.1525/jlin.2005.15.1.38
    https://doi.org/10.1525/jlin.2005.15.1.38 [Google Scholar]
  2. Alesina, Alberto, Arnaud Devleeschauwer, William Easterly, Sergio Kurlat and Romain Wacziarg
    2003 Fractionalization. Journal of Economic growth (8): 155–194. 10.1023/A:1024471506938
    https://doi.org/10.1023/A:1024471506938 [Google Scholar]
  3. Austin, John Langshaw
    1975How to do things with words. Harvard university press. 10.1093/acprof:oso/9780198245537.001.0001
    https://doi.org/10.1093/acprof:oso/9780198245537.001.0001 [Google Scholar]
  4. Bennie, Michael, Demi Zhang, Bushi Xiao, Jing Cao, Chryseis Xinyi Liu, Jian Meng and Alayo Tripp
    2025 PANDA — paired anti-hate narratives dataset from Asia: using an Llm-as-a-judge to create the first Chinese counterspeech dataset. arXiv preprinthttps://arxiv.org/abs/2501.00697. 10.32388/OBSMW7
    https://doi.org/10.32388/OBSMW7 [Google Scholar]
  5. Butler, Judith
    1997Excitable speech: A politics of the performative. Routledge.
    [Google Scholar]
  6. Du Bois, John W.
    2008 The stance triangle. InEnglebreston (ed). Stancetaking in discourse: Subjectivity, evaluation, interaction, 139–182. John Benjamins Publishing Company.10.1075/pbns.164.07du
    https://doi.org/10.1075/pbns.164.07du [Google Scholar]
  7. Deng, Jiawen, Jingyan Zhou, Hao Sun, Chujie Zheng, Fei Mi, Helen Meng and Minlie Huang
    2022 COLD: A benchmark for Chinese offensive language detection. arXiv preprinthttps://arxiv.org/abs/2201.06025. 10.18653/v1/2022.emnlp‑main.796
    https://doi.org/10.18653/v1/2022.emnlp-main.796 [Google Scholar]
  8. Deng, Yu, Minjun Park, Juanjuan Chen, Jixue Yang, Luxue Xie, Huimin Li, Li Wang and Yaokai Chen
    2022 Emotional discourse analysis of COVID-19 patients and their mental health: A text mining study. PLoS ONE17(9). e0274247. 10.1371/journal.pone.0274247
    https://doi.org/10.1371/journal.pone.0274247 [Google Scholar]
  9. Eckert, Penelope
    2008 Variation and the indexical field. Journal of sociolinguistics12(4): 453–476. 10.1111/j.1467‑9841.2008.00374.x
    https://doi.org/10.1111/j.1467-9841.2008.00374.x [Google Scholar]
  10. Flores, Nelson, and Jonathan Rosa
    2015 Undoing appropriateness: Raciolinguistic ideologies and language diversity in education. Harvard educational review85(2): 149–171. 10.17763/0017‑8055.85.2.149
    https://doi.org/10.17763/0017-8055.85.2.149 [Google Scholar]
  11. He, Zhipeng and Chenxi Jiang (何志鹏,姜晨曦)
    2018 网络仇恨言论规制与表达自由的边界 [Regulation to hate speech on the Internet and boundary of free expression]. 甘肃政法学院学报 [Journal of Gansu Political Science and Law Institute] (3): 20–31.
    [Google Scholar]
  12. Jiang, Aiqi, Xiaohan Yang, Yang Liu and Arkaitz Zubiaga
    2022 SWSR: A Chinese dataset and lexicon for online sexism detection. Online Social Networks and Media271: 100182. 10.1016/j.osnem.2021.100182
    https://doi.org/10.1016/j.osnem.2021.100182 [Google Scholar]
  13. Jing-Schmidt, Zhuo, and Xinjia Peng
    2018 The sluttified sex: Verbal misogyny reflects and reinforces gender order in wireless China. Language in Society47(3): 385–408. 10.1017/S0047404518000386
    https://doi.org/10.1017/S0047404518000386 [Google Scholar]
  14. Kang, TaeYoung, Eunrang Kwon, Junbum Lee, Youngeun Nam, Junmo Song and JeongKyu Suh
    2022 Korean online hate speech dataset for multilabel classification: How can social science improve dataset on hate speech. arXiv preprinthttps://arxiv.org/abs/2204.03262
    [Google Scholar]
  15. Kroskrity, Paul V.
    2016 Language ideologies: Emergence, elaboration, and application. InBonvillain (ed). The Routledge handbook of linguistic anthropology, Routledge.
    [Google Scholar]
  16. Lang, Jun
    2020 Neological cancer metaphors in the Chinese cyberspace uses and social meanings. Chinese Language and Discourse11(2): 261–286. 10.1075/cld.19014.lan
    https://doi.org/10.1075/cld.19014.lan [Google Scholar]
  17. Lin, Hongfei (林鸿飞等)
    2025 第二十四届中国计算语言学大会技术评测-中文仇恨言论检测数据 [Chinese hate speech detection in the technical evaluation of the 24th China national conference on computational linguistics CCL25-Eval10]. 中文信息学会 [Chinese Information Processing Society of China].
    [Google Scholar]
  18. Ni, Shengnan (倪胜男)
    2014 网络语言暴力的伦理审视 [An ethical examination of online language violence]. 学理论 [Theory Research] (36): 142–143.
    [Google Scholar]
  19. Ochs, Elinor
    1993 Indexing gender. InMiller (ed). Sex and gender hierarchies. Cambridge university press.
    [Google Scholar]
  20. Osburg, John
    2013Anxious wealth: Money and morality among China’s new rich. Stanford University Press
    [Google Scholar]
  21. Park, Minjun
    2022 A practical guide to Chinese word segmenters and POS taggers. Korea Journal of Chinese Linguistics1021. 10.38068/KJCL.102.13
    https://doi.org/10.38068/KJCL.102.13 [Google Scholar]
  22. 2024a Implementation and use of a text semantic analysis system: USAS as an example. Korea Journal of Humanities381. 10.31658/DSHR.38.12
    https://doi.org/10.31658/DSHR.38.12 [Google Scholar]
  23. 2024b Chinese social media crawling and text analysis: exploring SNS corpus-based research methodology. Citizen and Humanities461. 10.22842/kgucfh.2024.46.37
    https://doi.org/10.22842/kgucfh.2024.46.37 [Google Scholar]
  24. Rayson, Paul and Roger Garside
    2000 Comparing corpora using frequency profiling. InThe workshop on comparing corpora, 1–6. Hong Kong, China. Association for Computational Linguistics. 10.3115/1117729.1117730
    https://doi.org/10.3115/1117729.1117730 [Google Scholar]
  25. Rayson, Paul
    2008 From key words to key semantic domains. International Journal of Corpus Linguistics13(4): 519–549. 10.1075/ijcl.13.4.06ray
    https://doi.org/10.1075/ijcl.13.4.06ray [Google Scholar]
  26. Silverstein, Michael
    2003 Indexical order and the dialectics of sociolinguistic life. Language & communication, 23(3–4), pp.193–229. 10.1016/S0271‑5309(03)00013‑2
    https://doi.org/10.1016/S0271-5309(03)00013-2 [Google Scholar]
  27. Stubbs, Michael
    1995 Collocations and semantic profiles: on the cause of the trouble with quantitative studies. Functions of Language2(1): 23–55. 10.1075/fol.2.1.03stu
    https://doi.org/10.1075/fol.2.1.03stu [Google Scholar]
  28. Wang, Wenhua (王文华)
    2023 论反仇恨言论视阈下网络暴力的法律治理 [Legal governance on cyber violence from the perspective of anti-hate speech]. 中国应用法学 [China Journal of Applied Jurisprudence] (5): 63–75.
    [Google Scholar]
  29. Wu, Xi and Amin Liang (吴喜,梁阿敏)
    2020 新媒体视域下的平等权保护——对网络仇恨言论的反思 [Protection of equal rights from the perspective of new media — reflection on hate speech on the Internet]. 河北法学 [Hebei Law Science] 38(7): 24–38.
    [Google Scholar]
  30. Yuan, Yulin (袁毓林)
    2024 新文科视域下的计算社会语言学研究 [Computational sociolinguistics from the perspective of new liberal arts]. 语言文字应用 [Applied Linguistics] (1): 5–16.
    [Google Scholar]
  31. Zhao, Yuxian and Chunli Hu (赵玉现,胡春莉)
    2019 网络仇恨言论判别与治理探究 [Study on identifying and governing Internet hate speech]. 信息安全研究 [Journal of Information Security Research] 5(11): 1021–1026.
    [Google Scholar]
/content/journals/10.1075/cld.25013.par
Loading
/content/journals/10.1075/cld.25013.par
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error