Description
Modern economies and societies produce massive datasets that need to be analysed using new modelling techniques. In particular, measuring the informational content of text in economic and social news is useful for market participants and societies to adjust their perception and expectations on the dynamics of future events and trends, thus significantly influencing policy-makers’ perception and decisions. Social media and news may provide a larger set of information than standard lower frequency socio-economic indicators. This dataset collects various unconventional datasets extracted from news and social media (JRC computations) which have the potential of bringing together insights on different socio-economic trends.
Contact
Contributors
-
- European Commission, Joint Research Centre
- https://ec.europa.eu/info/departments/joint-research-centre
How to cite
European Commission, Joint Research Centre (JRC) (2022): Socioeconomic Tracker using Unconventional Data. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/f7be47f7-49a2-44e8-9dc8-043735af4139
Keywords
Alternative data Big data Data mining Social media Text analysis News
Data access
Publications
Temporal coverage
| From date | To date |
|---|---|
| 1998-01-01 | 2022-09-30 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2022-10-26
- Modified date
- 2023-09-19
- Issued date
- 2022-06-01
- Landing page
- https://knowledge4policy.ec.europa.eu/composite-indicators/socioeconomic-tracker_en
- Data theme(s)
- Economy and finance, Education, culture and sport, Population and society
- Update frequency
- irregular
- Identifier
- http://data.europa.eu/89h/f7be47f7-49a2-44e8-9dc8-043735af4139
- Popularity
- 10 Apr 2024: 1 visits