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Factors Influencing Emoji Usage in Smartphone Mediated Communications

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Transforming Digital Worlds (iConference 2018)

Abstract

Emojis have become more and more popular in text-based online communication to express emotions. This indicates a potential to utilize emojis in sentiment analysis and emotion measurements. However, many factors could affect people’s emoji usage and need to be examined. Among them, age, gender, and relationship types may result in different interpretations of the same emoji due to the ambiguity of the iconic expression. In this paper, we aim to explore how these factors may affect the frequency, type, and sentiment of people’s emoji usage in communications. After analyzing 6,821 Wechat chatting messages from 158 participants, we found people between 26–35 had lowest frequency of emoji usage; younger and elder groups showed different sentiment levels for the same emojis; people chose emoji types based on relationships. These findings shed light on how people use emojis as a communication tool.

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References

  1. Miller, H., et al.: “Blissfully happy” or “ready to fight”: varying interpretations of emoji. In: Proceedings of ICWSM (2016)

    Google Scholar 

  2. Novak, P.K., et al.: Sentiment of emojis. PLoS ONE 10(12), e0144296 (2015)

    Article  Google Scholar 

  3. Garrison, A., et al.: Conventional faces: emoticons in instant messaging discourse. Comput. Compos. 28(2), 112–125 (2011)

    Article  Google Scholar 

  4. Hautasaari, A.M., Yamashita, N., Gao, G.: Maybe it was a joke: emotion detection in text-only communication by non-native english speakers. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems. ACM (2014)

    Google Scholar 

  5. Ogletree, S.M., Fancher, J., Gill, S.: Gender and texting: masculinity, femininity, and gender role ideology. Comput. Hum. Behav. 37, 49–55 (2014)

    Article  Google Scholar 

  6. Chen, Z., et al.: Through a gender lens: an empirical study of emoji usage over large-scale android users. arXiv preprint arXiv:1705.05546 (2017)

  7. Kelly, R., Watts, L.: Characterising the inventive appropriation of emoji as relationally meaningful in mediated close personal relationships. In: Experiences of Technology Appropriation: Unanticipated Users, Usage, Circumstances, and Design (2015)

    Google Scholar 

  8. Tigwell, G.W., Flatla, D.R.: Oh that’s what you meant!: reducing emoji misunderstanding. In: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct. ACM (2016)

    Google Scholar 

  9. Walther, J.B., D’Addario, K.P.: The impacts of emoticons on message interpretation in computer-mediated communication. Soc. Sci. Comput. Rev. 19(3), 324–347 (2001)

    Article  Google Scholar 

  10. Yamamoto, Y., Kumamoto, T., Nadamoto, A.: Role of emoticons for multidimensional sentiment analysis of Twitter. In: Proceedings of the 16th International Conference on Information Integration and Web-Based Applications & Services. ACM (2014)

    Google Scholar 

  11. Jaeger, S.R., et al.: Can emoji be used as a direct method to measure emotional associations to food names? Preliminary investigations with consumers in USA and China. Food Qual. Prefer. 56, 38–48 (2017)

    Article  Google Scholar 

  12. Lu, X., et al.: Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM (2016)

    Google Scholar 

  13. Barbieri, F., et al.: How cosmopolitan are emojis?: Exploring emojis usage and meaning over different languages with distributional semantics. In: Proceedings of the 2016 ACM on Multimedia Conference. ACM (2016)

    Google Scholar 

  14. Jaeger, S.R., Ares, G.: Dominant meanings of facial emoji: insights from Chinese consumers and comparison with meanings from internet resources. Food Qual. Prefer. 62, 275–283 (2017)

    Article  Google Scholar 

  15. Miller, H.J., et al.: Understanding emoji ambiguity in context: the role of text in emoji-related miscommunication. In: ICWSM (2017)

    Google Scholar 

  16. Kaye, L.K., Malone, S.A., Wall, H.J.: Emojis: insights, affordances, and possibilities for psychological science. Trends Cogn. Sci. 21(2), 66–68 (2017)

    Article  Google Scholar 

  17. Thoits, P.A.: Mechanisms linking social ties and support to physical and mental health. J. Health Soc. Behav. 52(2), 145–161 (2011)

    Article  Google Scholar 

  18. Aroldi, P., et al.: Generational belonging between media audiences and ICT users. Broadband Soc. Gener. Changes 5, 51–67 (2011)

    Google Scholar 

  19. Ekman, P.: Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life. Macmillan, Basingstoke (2007)

    Google Scholar 

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Correspondence to Pengyi Zhang .

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An, J., Li, T., Teng, Y., Zhang, P. (2018). Factors Influencing Emoji Usage in Smartphone Mediated Communications. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_46

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  • DOI: https://doi.org/10.1007/978-3-319-78105-1_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78104-4

  • Online ISBN: 978-3-319-78105-1

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