# On a Japanese Subjective Well-Being Indicator Based on Twitter data

arXiv: https://arxiv.org/abs/2012.14372 · HTML: https://mlsanity.com/paper/2012.14372/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Dec 2020.

## Built on by (most cited first, 1 of 1)

- [Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study](https://mlsanity.com/paper/2101.07695/) (2021)

## Abstract (arXiv)

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.