تقرير
A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data
| العنوان: | A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data |
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| المؤلفون: | Luo, Jia, Peng, Daiyun, Shi, Lei, Baz, Didier El, Liu, Xinran |
| المصدر: | Frontiers in Public Health, 2023, 11 |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science Physics (Other) |
| مصطلحات موضوعية: | Computer Science - Social and Information Networks, Computer Science - Computation and Language, Physics - Physics and Society |
| الوصف: | The COVID-19 infodemic, characterized by the rapid spread of misinformation and unverified claims related to the pandemic, presents a significant challenge. This paper presents a comparative analysis of the COVID-19 infodemic in the English and Chinese languages, utilizing textual data extracted from social media platforms. To ensure a balanced representation, two infodemic datasets were created by augmenting previously collected social media textual data. Through word frequency analysis, the thirty-five most frequently occurring infodemic words are identified, shedding light on prevalent discussions surrounding the infodemic. Moreover, topic clustering analysis uncovers thematic structures and provides a deeper understanding of primary topics within each language context. Additionally, sentiment analysis enables comprehension of the emotional tone associated with COVID-19 information on social media platforms in English and Chinese. This research contributes to a better understanding of the COVID-19 infodemic phenomenon and can guide the development of strategies to combat misinformation during public health crises across different languages. |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.3389/fpubh.2023.1281259 |
| الوصول الحر: | http://arxiv.org/abs/2311.08001Test |
| رقم الانضمام: | edsarx.2311.08001 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.3389/fpubh.2023.1281259 |
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