Can Well-Being be Measured Using Facebook Status Updates? Validation of Facebook's Gross National Happiness Index

Social Indicators Research

Volumn 115, Issue 1, 2014, Pages 483-491

  Wang, N ^a   Kosinski, M ^a   Stillwell, D J ^b   Rust, J ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Facebook; Gross National Happiness; Linguistic Inquiry Word Count; Satisfaction with Life; Well being

Indexed keywords

PSYCHOLOGY; SOCIAL NETWORK; SOCIAL STATUS; WORLD WIDE WEB;

EID: 84892477265     PISSN: 03038300     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11205-012-9996-9     Document Type: Article

References (29)

1. Bates, W. (2009). Gross National Happiness. Asian-Pacific Economic Literature, 23(2), 1-16. doi: 10. 1111/j. 1467-8411. 2009. 01235. x.
2. Baumeister, R. F., & Vohs, K. D. (2004). Handbook of self-regulation: Research theory, and applications. New York: Guilford Press.
3. Charles, A. S. (2008). (Tell me why) I don't like mondays: Does an overvaluation of future discretionary time underlie reported weekly mood cycles? Cognition and Emotion, 22(7), 1228-1252.
4. Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95, 542-575.
5. Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality and Social Psychology, 69, 71-75.
6. Facebook Data Team. (2010). Continuing our study of happiness, from http://www. facebook. com/notes/facebook-data-team/continuing-our-study-of-happiness/375901788858.
7. Facebook Data Team. (2011). Gross National Happiness, from http://apps. facebook. com/gnh_index/.
8. Gamon, M. (2004). Sentiment classification on customer feedback data: Noisy data, large feature vectors, and the role of linguistic analysis. In Proceedings of the 20th International Conference on Computational Linguistics, 841 at the 28th international conference on Human factors in computing systems, ACM.
9. Goldberg, L. R., Johnson, L. A., Eber, H. W., Hogan, R., Ashton, M. C., Cloninger, C. R., et al. (2006). The international personality item pool and the future of public-domain personality measures. Journal of Research in Personality, 40, 84-96.
10. Golder, S. A., & Macy, M. W. (2011). Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures. Science, 30, 1878-1881.
11. Jordan, A. H., Monin, B., Dweck, C. S., Lovett, B. J., John, O. P., & Gross, J. J. (2010). Misery has more company than people think: Underestimating the prevalence of others' negative emotions. Personality and Social Psychology Bulletin, 37(1), 120-135.
12. Kramer, A. (2010). An unobtrusive behavioral model of "Gross National Happiness". Paper presented at the 28th international conference on human factors in computing systems, ACM.
13. McAllister, F. (2005). Well-being concepts and challenges, Sustainable Development Research Network Discussion paper, December, London. Available at: http://www. sd-research. org. uk/wp-content/uploads/finalwellbeingpolicybriefing. pdf.
14. Miller, G. (2011). Social scientists wade into the tweet stream. Science, 30, 1814-1815.
15. Mishne, G. & de Rijke, M. (2006). Capturing global mood levels using blog posts. In AAAI 2006 spring symposium on computational approaches to analysing weblogs (AAAICAAW 2006).
16. Mullen, T., & Malouf, R. (2006) A preliminary investigation into sentiment analysis of informal political discourse. In Proceedings of the AAAI symposium on computational approaches to analyzing weblogs, 159-162.
17. Nasukawa, T., & Yi, J. (2003). Sentiment analysis: Capturing favorability using natural language processing. In Proceedings of the 2nd international conference on knowledge capture. Florida, USA, 70-77.
18. Pang, B., & Lee, L. (2004). A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the annual meeting on association for computational linguistics (ACL), 271-278.
19. Pavot, W., & Diener, E. (2009). Review of the satisfaction with life scale assessing well-being: The collected works of Ed Diener. 101-117.
20. Pennebaker, J. W., Chung, C. K., Ireland, M., Gonzales, A., & Booth, R. J. (2007). The development and psychological properties of LIWC 2007. 1-22. Retrieved from Linguistic Inquiry and Word Count website http://www. liwc. net/LIWC2007LanguageManual. pdf.
21. Pennock, M. (2009). Measuring the progress of communities: Applying the Gross National Happiness Framework. Measuring the Progress of Societies, 2009, 9-10.
22. Pennock, M., & Ura, K. (2011). Gross national happiness as a framework for health impact assessment. Environmental Impact Assessment Review, 31(1), 61-65. doi: 10. 1016/j. eiar. 2010. 04. 003.
23. Schimmack, U., Diener, E., & Oishi, S. (2002). Life-satisfaction is a momentary judgment and a stable personality characteristic: The use of chronically accessible and stable sources. Journal of Personality, 70(3), 345-384.
24. Schwarz, N., & Strack, F. (2003). Reports of subjective well-being: Judgmental processes and their methodological implications. In D. Kahneman, E. Diener, & N. Schwarz (Eds.), Well-being: The foundations of hedonic psychology (pp. 61-84). New York: Russell Sage Foundation.
25. Stillwell, D. J. & Kosinski, M. (2011). myPersonality Research Wiki. myPersonality Project. Retrieved June, 2011, from http://mypersonality. org/wiki.
26. Tausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24-54.
27. Testing LIWC Online. (2011). from http://liwc. net/liwcresearch07. php.
28. Ura, K. (2008). The GNH Index, from http://www. grossnationalhappiness. com/gnhIndex/gnhIndexVariables. aspx.
29. Veenhoven, R. (1984). Conditions of Happiness. Dordrecht, The Netherlands: Reidel.