Review: The role of emotion in computer-mediated communication: A review
Computers in Human Behavior
Identifying sarcasm in Twitter: a closer look
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Commenting on YouTube videos: From guatemalan rock to El Big Bang
Journal of the American Society for Information Science and Technology
Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media
ACM Transactions on Intelligent Systems and Technology (TIST)
Experimenting with distant supervision for emotion classification
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Does the use of social networking sites increase children's risk of harm?
Computers in Human Behavior
Modelling emotional trajectories of individuals in an online chat
MATES'12 Proceedings of the 10th German conference on Multiagent System Technologies
Distant supervision for emotion classification with discrete binary values
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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The present study experimentally examines the impact of emoticons on message interpretation among secondary school students (N = 105). Furthermore, perceived motives for emoticon use are examined. Results show that emoticons do have an impact on message interpretation. Emoticons are useful in strengthening the intensity of a verbal message. Furthermore, it is possible to create ambiguity and express sarcasm online by varying the valence of the emoticon and the valence of the message. Overall, the authors conclude that to a large extent, emoticons serve the same functions as actual nonverbal behavior.