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

• URL: http://arxiv.org/abs/2401.05254v4
• Date: Wed, 16 Oct 2024 01:35:29 GMT
• Title: Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination
• Authors: Young-Min Cho, Dandan Pang, Stuti Thapa, Garrick Sherman, Lyle Ungar, Louis Tay, Sharath Chandra Guntuku,
• Abstract summary: This paper explores cultural differences in affective expressions by comparing 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. We uncover significant cross-cultural differences in arousal, with US users displaying higher emotional intensity than Chinese users.
• Score: 6.122854363918857
• License:
• 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.

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