Name
Title | ||
|---|---|---|
Measuring corruption using the Internet data - Example from countries along the Belt and Road. |
Abstract | ||
|---|---|---|
How to scientifically measure corruption has become a key issue for both the anti-corruption research and practice. By introducing the search popularity of corruption-related topics in Google Trends, this paper proposes a comprehensive corruption index called Corruption Search Index (CSI). A novel search strategy is designed, aiming to adjust the search popularity data for the comparison among different countries. The empirical analysis of 63 countries along the Belt and Road shows that Singapore remains the cleanest status among these countries while Afghanistan is facing a serious corruption situation. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.procs.2019.11.250 | Procedia Computer Science |
Keywords | Field | DocType |
Corruption measurement,Google Trends,Perceived corruption,Corruption Search Index | Data science,Computer science,Popularity,Search engine indexing,Artificial intelligence,Machine learning,Corruption,The Internet | Conference |
Volume | ISSN | Citations |
162 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lili Pan | 1 | 0 | 0.34 |
| Qianqian Feng | 2 | 0 | 1.69 |
| Jianping Li | 3 | 0 | 0.34 |
| Xiaoqian Zhu | 4 | 86 | 16.92 |
| Lin Wang | 5 | 0 | 0.34 |