How emotion is made and measured
International Journal of Human-Computer Studies
Expressing emotion in text-based communication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Emotion rating from short blog texts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Upset now?: emotion contagion in distributed groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
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
Learning how to feel again: towards affective workplace presence and communication technologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Emotion understanding and performance during computer-supported collaboration
Computers in Human Behavior
Analyzing sentiments from street harassment stories
Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
Multimodal behavior and interaction as indicators of cognitive load
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
Concealment of Emotion in an Emergency Room: Expanding Design for Emotion Awareness
Computer Supported Cooperative Work
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
Capturing the mood: facebook and face-to-face encounters in the workplace
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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An enduring assumption about computer-mediated communication is that it undermines emotional understanding. The present study examined emotional communication in CMC by inducing negative affect in one condition and neutral affect in another. The results revealed that 1) participants experiencing negative affect produced fewer words, used more sad terms, and exchanged messages at a slower rate, 2) their partners were able to detect their partners emotional state, and 3) emotional contagion took place, in which partners interacting with participants in the negative affect condition had significantly less positive affect than partners in the control condition. These data support a relational view of CMC.