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Diversity of Twitter emoji usage and subjective wellbeing

Authors :
Sun, Rui
Garcia, David
Vuillier, Laura
Aroyehun, Segun
Kogan, Aleksandr
Sauter, Disa
Publication Year :
2022
Publisher :
Open Science Framework, 2022.

Abstract

Previous work conducted by Laura Vuillier and Rui Sun (Vuillier, L., et al, 2018) found that participants' diversity of emoji usage on Facebook (aggregated at the country level) was related to country-level wellbeing. Here we would like to test whether this pattern is found at the individual level. Specifically, we predict that individuals' emoji usage diversity on Twitter is positively related to their subjective wellbeing. We would like to use data collected by Laura Vuillier, Rui Sun, and colleagues in 2016-2017 to examine this question. In this dataset, participants reported their Twitter ID, as well as completing questionnaires measuring their personality, wellbeing, etc. The Twitter IDs will be used to collect their publicly available tweets, process their text and extract users' emoji, and Shannon's Index will be used to calculate the emoji diversity for each participant. Citation: Vuillier, L., Brooks, A. W., … & Norton, M. I. (2018). Amount and diversity of digital emotional expression predicts happiness. Harvard Business School.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........9fe188105fbd59cd7bfd31cc14525ca4
Full Text :
https://doi.org/10.17605/osf.io/2ntvw