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By: Devika Kakkar
Promoting well-being is one of the key targets of the Sustainable Development Goals at the United Nations. Many national and city governments worldwide are incorporating subjective well-being (SWB) indicators into their agenda to complement traditional objective development and economic metrics. In this study, we develop the Twitter sentiment geographical index (TSGI), a proxy for SWB by applying natural language processing techniques on a comprehensive archive of 7.4 billion geotagged tweets, posted from 2012 to the present. In contrast to the previous works focusing on SWB, TSGI is not limited to a specific topic, period, or location. Using this data, we construct a high-frequency multi-year database that has global coverage, which enables the evaluation of SWB in 163 countries and regions for one decade. Finally, we provide a website platform where researchers can access the national indices, updated monthly with new data. The talk will present this valuable research dataset.