论文标题
基于Twitter数据的日本主观福祉指标
On a Japanese Subjective Well-Being Indicator Based on Twitter data
论文作者
论文摘要
这项研究首次提出了SWB-J指数，这是基于Twitter数据的日本主观福祉指标。该指数由主观幸福感的八个维度组成，并通过使用人类监督情感分析来依靠Twitter数据估计。然后将该指数与意大利的类似SWB-I指数进行比较，以验证可能的类比和文化差异。此外，通过结构方程模型，测试了因果假设，以查看该国的经济和健康状况是否影响福祉潜在变量以及该潜在维度如何影响SWB-J和SWB-I指标。事实证明，正如预期的那样，经济和健康福利只是由Twitter指标捕获的多维福祉的一个方面。
This study presents for the first time the SWB-J index, a subjective well-being indicator for Japan based on Twitter data. The index is composed by eight dimensions of subjective well-being and is estimated relying on Twitter data by using human supervised sentiment analysis. The index is then compared with the analogous SWB-I index for Italy, in order to verify possible analogies and cultural differences. Further, through structural equation models, a causal assumption is tested to see whether the economic and health conditions of the country influence the well-being latent variable and how this latent dimension affects the SWB-J and SWB-I indicators. It turns out that, as expected, the economic and health welfare is only one aspect of the multidimensional well-being that is captured by the Twitter-based indicator.
