Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data
文献类型：期刊论文
| 作者 | Qian, Jiale1,2; Du, Yunyan1,2; Liang, Fuyuan1; Yi, Jiawei1,2; Wang, Nan1,2; Tu, Wenna1,2; Huang, Sheng1,2; Pei, Tao1,2; Ma, Ting1,2 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 13期号:3页码:19 |
| 关键词 | linguistic diversity flood rainfall social media Chinese dialects bias |
| DOI | 10.3390/ijgi13030092 |
| 通讯作者 | Du, Yunyan(duyy@lreis.ac.cn) |
| 英文摘要 | Understanding the public's diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially leading to bias. In this study, we introduce a novel algorithm capturing rainfall and flood-related expressions, considering the relationship between precipitation observations and linguistics expressions. Analyzing 210 million social media microblogs from 2017, we identified 594 keywords, 20 times more than usual manually created bag-of-words. Utilizing Large Language Model, we categorized these keywords into rainfall, flood, and other related terms. Semantic features of these keywords were analyzed from the viewpoint of popularity, credibility, time delay, and part-of-speech, finding rainfall-related terms most common-used, flood-related keywords often more time delayed than precipitation, and notable differences in part-of-speech across categories. We also assessed spatial characteristics from keyword and city-centric perspectives, revealing that 49.5% of the keywords have significant spatial correlation with differing median centers, reflecting regional variations. Large and disaster-impacted cities show the richest expression diversity for rainfall and flood-related terms. |
| WOS关键词 | LANGUAGE ; TWEETS |
| 资助项目 | Key Project of Innovation LREIS |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001192448600001 |
| 出版者 | MDPI |
| 资助机构 | Key Project of Innovation LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203943]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Du, Yunyan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qian, Jiale,Du, Yunyan,Liang, Fuyuan,et al. Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2024,13(3):19. |
| APA | Qian, Jiale.,Du, Yunyan.,Liang, Fuyuan.,Yi, Jiawei.,Wang, Nan.,...&Ma, Ting.(2024).Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,13(3),19. |
| MLA | Qian, Jiale,et al."Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 13.3(2024):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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