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  4. Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination
 

Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination

URI
https://arbor.bfh.ch/handle/arbor/45302
Date Issued
2025
Author(s)
Cho, Young-Min
Pang, Dandan  
Thapa, Stuti
[et al.]
Editor(s)
The Association for Computational Linguistics
Type
Conference Paper
Language
English
Abstract
While affective expressions on social media have been extensively studied, most research has focused on the Western context. This paper explores cultural differences in affective expressions by comparing valence and arousal on Twitter/X (geolocated to the US) and Sina Weibo (in Mainland China). Using the NRC-VAD lexicon to measure valence and arousal, we identify distinct patterns of emotional expression across both platforms. Our analysis reveals a functional representation between valence and arousal, showing a negative offset in contrast to traditional lab-based findings which suggest a positive offset. Furthermore, we uncover significant cross-cultural differences in arousal, with US users displaying higher emotional intensity than Chinese users, regardless of the valence of the content. Finally, we conduct a comprehensive language analysis correlating n-grams and LDA topics with affective dimensions to deepen our understanding of how language and culture shape emotional expression. These findings contribute to a more nuanced understanding of affective communication across cultural and linguistic contexts on social media.
DOI
https://doi.org/10.24451/dspace/11938
Publisher DOI
10.48550/arXiv.2401.05254
Publisher URL
https://2025.naacl.org/
Related URL
https://aclanthology.org/2025.findings-naacl.310.pdf
Conference
Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics 2025
Submitter
Pang, Dandan
Citation apa
Cho, Y.-M., Pang, D., Thapa, S., & [et al.]. (2025). Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination (The Association for Computational Linguistics, Ed.). https://doi.org/10.24451/dspace/11938
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2401.05254v5.pdf

License
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Size

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