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Big Data and Happiness

Rossouw, S; Greyling, T
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http://hdl.handle.net/10292/13644
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Abstract
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.
Keywords
Happiness; Big Data; Sentiment analysis
Date
September 2, 2020
Source
GLO Discussion Paper, No. 634, Global Labor Organization (GLO), Essen. Retrieved from: http://hdl.handle.net/10419/223012
Publisher
Global Labor Organization
Publisher's Version
https://www.econstor.eu/handle/10419/223012
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