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  • PARIS project is part of the SBO Program of the IWT (IWT-SBO-Nr. 110067)
Abstract
User generated content on social media sites is a rich source of information about latent variables of their users. Proper mining of this content provides a shortcut to emotion and personality detection of users without filling out questionnaires. This in turn increases the application potential of personalized services that rely on the knowledge of such latent variables. In this paper we contribute to this emerging domain by studying the relation between emotions expressed in approximately 1 million Facebook (FB) status updates and the users' age, gender and personality. Additionally, we investigate the relations between emotion expression and the time when the status updates were posted. In particular, we find that female users are more emotional in their status posts than male users. In addition, we find a relation between age and sharing of emotions. Older FB users share their feelings more often than young users. In terms of seasons, people post about emotions less frequently in summer. On the other hand, December is a time when people are more likely to share their positive feelings with their friends. We also examine the relation between users' personality and their posts. We find that users who have an open personality express their emotions more frequently, while neurotic users are more reserved to share their feelings.
Keywords
Emotion detection, Time factor, Big Five Personality model, Facebook, Social media, User modelling, NRC lexicon

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Citation

Please use this url to cite or link to this publication:

MLA
Farnadi, Golnoosh, Geetha Sitaraman, Mehrdad Rohani, et al. “How Are You Doing? : Emotions and Personality in Facebook.” EMPIRE2014 : 2nd Workshop on Emotions and Personality in Personalized Services. 2014. 45–56. Print.
APA
Farnadi, G., Sitaraman, G., Rohani, M., Kosinski, M., Stillwell, D., Moens, M.-F., Davalos, S., et al. (2014). How are you doing? : emotions and personality in Facebook. EMPIRE2014 : 2nd workshop on emotions and personality in personalized services (pp. 45–56). Presented at the 2nd Workshop on Emotions and Personality in Personalized Services (EMPIRE 2014) ; workshop at the 22nd Conference on User Modelling, Adaptation and Personalization (UMAP 2014).
Chicago author-date
Farnadi, Golnoosh, Geetha Sitaraman, Mehrdad Rohani, Michal Kosinski, David Stillwell, Marie-Francine Moens, Sergio Davalos, and Martine De Cock. 2014. “How Are You Doing? : Emotions and Personality in Facebook.” In EMPIRE2014 : 2nd Workshop on Emotions and Personality in Personalized Services, 45–56.
Chicago author-date (all authors)
Farnadi, Golnoosh, Geetha Sitaraman, Mehrdad Rohani, Michal Kosinski, David Stillwell, Marie-Francine Moens, Sergio Davalos, and Martine De Cock. 2014. “How Are You Doing? : Emotions and Personality in Facebook.” In EMPIRE2014 : 2nd Workshop on Emotions and Personality in Personalized Services, 45–56.
Vancouver
1.
Farnadi G, Sitaraman G, Rohani M, Kosinski M, Stillwell D, Moens M-F, et al. How are you doing? : emotions and personality in Facebook. EMPIRE2014 : 2nd workshop on emotions and personality in personalized services. 2014. p. 45–56.
IEEE
[1]
G. Farnadi et al., “How are you doing? : emotions and personality in Facebook,” in EMPIRE2014 : 2nd workshop on emotions and personality in personalized services, Aalborg, Denmark, 2014, pp. 45–56.
@inproceedings{7100029,
  abstract     = {User generated content on social media sites is a rich source of information about latent variables of their users. Proper mining of this content provides a shortcut to emotion and personality detection of users without filling out questionnaires. This in turn increases the application potential of personalized services that rely on the knowledge of such latent variables. In this paper we contribute to this emerging domain by studying  the relation between emotions expressed in approximately 1 million Facebook (FB) status updates and the users' age, gender and personality. Additionally, we investigate the relations between emotion expression and the time when the status updates were posted. In particular, we find that female users are more emotional in their status posts than male users. In addition, we find a relation between age and sharing of emotions. Older FB users share their feelings more often than young users.  In terms of seasons, people post about emotions less frequently in summer. On the other hand, December is a time when people are more likely to share their positive feelings with their friends. We also examine the relation between users' personality and their posts. We find that users who have an open personality express  their emotions more frequently, while neurotic users are more reserved to share their feelings.},
  author       = {Farnadi, Golnoosh and Sitaraman, Geetha and Rohani, Mehrdad and Kosinski, Michal and Stillwell, David and Moens, Marie-Francine and Davalos, Sergio and De Cock, Martine},
  booktitle    = {EMPIRE2014 : 2nd workshop on emotions and personality in personalized services},
  keywords     = {Emotion detection,Time factor,Big Five Personality model,Facebook,Social media,User modelling,NRC lexicon},
  language     = {eng},
  location     = {Aalborg, Denmark},
  pages        = {45--56},
  title        = {How are you doing? : emotions and personality in Facebook},
  year         = {2014},
}