Text analysis as a tool for analyzing conversation in online support groups
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Expressing emotion in text-based communication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The language of emotion in short blog texts
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Hive: a warehousing solution over a map-reduce framework
Proceedings of the VLDB Endowment
Journal of the American Society for Information Science and Technology
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Facebook as a toolkit: A uses and gratification approach to unbundling feature use
Computers in Human Behavior
A buzz and e-reputation monitoring tool for twitter based on galois lattices
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Happiness is assortative in online social networks
Artificial Life
Tracking "gross community happiness" from tweets
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
The spread of emotion via facebook
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Metabrain: web information extraction and visualization
Proceedings of the International Working Conference on Advanced Visual Interfaces
Political dialog evolution in a social network
Proceedings of the 13th Annual International Conference on Digital Government Research
Sentiment strength detection for the social web
Journal of the American Society for Information Science and Technology
Learning for microblogs with distant supervision: political forecasting with Twitter
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Representation and communication: challenges in interpreting large social media datasets
Proceedings of the 2013 conference on Computer supported cooperative work
Finger on the pulse: identifying deprivation using transit flow analysis
Proceedings of the 2013 conference on Computer supported cooperative work
Major life changes and behavioral markers in social media: case of childbirth
Proceedings of the 2013 conference on Computer supported cooperative work
A text cube approach to human, social and cultural behavior in the twitter stream
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
What's in Twitter: I Know What Parties are Popular and Who You are Supporting Now!
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Damping sentiment analysis in online communication: discussions, monologs and dialogs
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Social media as a measurement tool of depression in populations
Proceedings of the 5th Annual ACM Web Science Conference
Don't worry, be happy: the geography of happiness on Facebook
Proceedings of the 5th Annual ACM Web Science Conference
Predicting postpartum changes in emotion and behavior via social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
A comparison study of user behavior on Facebook and Gmail
Computers in Human Behavior
Information Polity - Key Factors and Processes for Digital Government Success
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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.