Subjective Well-Being and Social Media

The authors describe a social media index for measuring subjective well-being, relying on the availability of big data sources provided by the social networking sites, and on one of the most recent techniques for sentiment analysis. This approach disentangles the main methodological issues raised in the literature on well-being measurement.

List of contents

1. Subjective and Social Well-being. 2. Text and Sentiment Analysis. 3. Extracting Subjective Well-Being from Textual Data. 4. How to Control for Bias in Social Media. 5. Subjective Well-Being and the COVID- Pandemic.

About the author

Stefano M. Iacus is full professor of Statistics at the University of Milan, on leave at the Joint Research Centre of the European Commission. Former R-core member (1999-2017) and R Foundation Member.
Giuseppe Porro is full professor of Economic Policy at the University of Insubria.
An earlier version of this project was awarded the Italian Institute of Statistics-Google prize for "official statistics and big data".

Summary

The authors describe a social media index for measuring subjective well-being, relying on the availability of big data sources provided by the social networking sites, and on one of the most recent techniques for sentiment analysis. This approach disentangles the main methodological issues raised in the literature on well-being measurement.

Product details

• Authors: Stefano M. Iacus, Stefano M. (University of Milan) Porro Iacus, Stefano M. Porro Iacus, Iacus Stefano M., Giuseppe Porro
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 25.09.2023
• EAN: 9781032043166
• ISBN: 978-1-0-3204316-6
• No. of pages: 220
• Subjects: Natural sciences, medicine, IT, technology > Natural sciences (general); Social sciences, law, business > Business > General, dictionaries; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics