Big Data and Happiness

Arbeitspapier

The pursuit of happiness. What does that mean? Perhaps a more prominent question to ask is, 'how does one know whether people have succeeded in their pursuit'? Survey data, thus far, has served us well in determining where people see themselves on their journey. However, in an everchanging world, one needs high-frequency data instead of data released with significant time-lags. High-frequency data, which stems from Big Data, allows policymakers access to virtually real-time information that can assist in effective decision-making to increase the quality of life for all. Additionally, Big Data collected from, for example, social media platforms give researchers unprecedented insight into human behaviour, allowing significant future predictive powers.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: GLO Discussion Paper ; No. 634

Classification and Topics

• Classification: Wirtschaft ; Data Collection and Data Estimation Methodology; Computer Programs: Other Computer Software ; General Welfare; Well-Being ; Welfare, Well-Being, and Poverty: Other ; Demographic Economics: Public Policy
• Subject: Happiness ; Big Data ; Sentiment analysis

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Rossouw, Stephanie ; Greyling, Talita
• Event: Veröffentlichung
• (who): Global Labor Organization (GLO)
• (where): Essen
• (when): 2020

Further information

• Handle: http://hdl.handle.net/10419/223012
• Last update: 10.03.2025, 11:45 AM CET