Does the crying baby always get the milk? An analysis of government responses for online requests
Datos Bibliográficos
| ID | 7708069 |
|---|---|
| Autores | T Cai (0000-0002-8962-2660, University of Macau), Fumin Li (0000-0002-0290-4893, University of Macau), Jian Zhan (0000-0001-9250-0157), Zhan Jian (Lanzhou University), Zhengrong Wang (0000-0002-1342-7762), Jingbin Wang (0000-0001-8120-2584, Gansu Institute of Political Science and Law, autor de correspondencia) |
| Año | 2023 |
| Volumen | 55 |
| Número | 1 |
| Páginas | 96-125 |
| Fecha de publicación | 2023-01-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Chinese Sociological Review (JOURNAL) |
| Identificadores de la revista | ISSN: 2162-0555 • E-ISSN: 2162-0563 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/21620555.2022.2103667 |
| OpenAlex | W4289947218 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 48 |
One thing that has frequently been overlooked in studies of how a local government responds to its citizens is the text itself. When a petitioner drafts a post, they can pick up words and choose how the demand or question is conveyed. Thus, how a post is composed may also influence local government responsiveness. In this study, we investigated whether a delayed response is due to the way the message is drafted or the actual content by separating content-related and content-agnostic text features. Based on posts retrieved from two websites, we found that the response pattern varies by location, time, and type of queried agency. Our results also indicated that lengthy and low positive sentiment posts generally result in longer waiting times. However, more research is needed to gauge the possibility of a false negative and the meaning of contents extracted from computational tools. In addition, our work scrutinized several methodological issues and sought practical solutions to analyzing big data
Agency (philosophy · Content (measure theory · Content analysis · Crying · Data science · Government (linguistics · Linguistics · Meaning (existential · Social science · Sociology · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Psychology · Sentiment Analysis and Opinion Mining · Social Psychology
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| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2024 - 2025 (2) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |