An Unobtrusive Behavioral Model of “Gross National Happiness”

Auteur-es

Adam D. I. Kramer

Nombre Auteurs

1

Titre

An Unobtrusive Behavioral Model of “Gross National Happiness”

Année de publication

2010

Référence (APA)

Kramer, A. D. I. (2010). An unobtrusive behavioral model of « gross national happiness ». Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 287‑290. https://doi.org/10.1145/1753326.1753369

résumé

I analyze the use of emotion words for approximately 100 million Facebook users since September of 2007. “Gross national happiness” is operationalized as a standardized difference between the use of positive and negative words,
aggregated across days, and present a graph of this metric. I begin to validate this metric by showing that positive and negative word use in status updates covaries with self- reported satisfaction with life (convergent validity), and also note that the graph shows peaks and valleys on days that are culturally and emotionally significant (face validity). I discuss the development and computation of this metric, argue that this metric and graph serves as a representation of the overall emotional health of the nation, and discuss the importance of tracking such metrics.

Mots-clés

Psychology, quantitative methods, emotion, statistics,
Facebook

URL

https://research.facebook.com/file/226508362612723/an-unobtrusive-behavioral-model-of-gross-national-happiness.pdf

doi

https://doi.org/10.1145/1753326.1753369

Accessibilité de l'article

Libre

Champ

Data science

Type contenu (théorique Applicative méthodologique)

Théorique, méthodologique

Méthode

Computationnelle
Behavioral method
Word count procedure

Cas d'usage

Facebook

Objectifs de l'article

"I present the first few steps towards taking this
approach “to scale,” and provide preliminary evidence for the validity of a daily national-level happiness index"

Question(s) de recherche/Hypothèses/conclusion

The research question is how can we measure Gross National Happiness using Facebook data?

The hypothesis is that the use of positive and negative words on Facebook can be used to track the emotional health of a nation.

The conclusions of the article are that the use of Facebook data can provide a unique and unobtrusive way to measure Gross National Happiness and that the daily national-level happiness index is a valid measure of emotional health. "It is possible to validate the use of this metric to represent GNH, utility of the graph "is to have a behavioral method with which to track the emotional health of the nation"

Cadre théorique/Auteur.es

The theoretical framework of the article includes the fields of psychology, communication, and HCI. The main authors cited include Diener, Pennebaker, Cacioppo, and Petty.

Concepts clés

Subjective well-being (as a metric), Sentiment analysis, Gross National Happiness

Données collectées (type source)

The data collected was a large dataset of Facebook status updates from USA users

Définition des émotions

LIWC

Ampleur expérimentation (volume de comptes)

100
millions Facebook users since September of 2007

Technologies associées

Hive Data Warehousing, Hadoop framework, Text Analysis and Word Count (TAWC) program, LIWC software

Mention de l'éthique

Non

Finalité communicationnelle

Unique and unobtrusive behavioral model that can help us understand the emotional health of a nation.