Hostname: page-component-848d4c4894-8bljj Total loading time: 0 Render date: 2024-06-17T01:19:38.806Z Has data issue: false hasContentIssue false
  • English
  • Français

Emoji use validates the potential for meaning standardization among ideographic symbols

Published online by Cambridge University Press:  02 October 2023

Laurie Beth Feldman Open the ORCID record for Laurie Beth Feldman [Opens in a new window]
Laurie Beth Feldman*
Affiliation:
Department of Psychology, The University at Albany, State University of New York, Albany, NY, USA lfeldman@albany.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

Technological innovations for online communication reduce the impact of signal transience on meaning standardization while boosting access to reliable patterning across multiple linguistic and nonlinguistic contexts – both asynchronous and synchronous. We classify emojis as ideographic symbols, examine their interdependence with surrounding words when reading/writing, and argue that emoji use validates the potential for meaning standardization in ideographs.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e241
Check for updates
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barach, E., Feldman, L. B., & Sheridan, H. (2021). Are emojis processed like words? Eye movements reveal the time course of semantic processing for emojified text. Psychonomics Bulletin and Review, 28, 978–991. https://doi.org/10.3758/s13423-020-01864-yCrossRefGoogle ScholarPubMed
Barach, E., Srinivasan, V., Fernandes, R. B., Feldman, L. B., & Shaikh, S. (2020). It's not just what you tweet, it's how you tweet it. Paper presented at the 7th European Conference on Social Media, Larnakes, Cyprus.Google Scholar
Barbieri, F., Ronzano, F., & Saggion, H. (2016). What does this emoji mean? A vector space skip-gram model for Twitter emojis. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16), pp. 3967–3972, Portorož, Slovenia. European Language Resources Association (ELRA).Google Scholar
Christofalos, A., Feldman, L. B., & Sheridan, H. (2022). Semantic congruency facilitates memory for emojis. The fifth international workshop on emoji understanding and applications in social media co-located with the 2022 Annual conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2022), 63–68. https://aclanthology.org/10.18653/v1/2022.emoji-1.7CrossRefGoogle Scholar
Częstochowska, J., Gligorić, K., Peyrard, M., Mentha, Y., Bien, M., Grütter, A., … West, R. (2022). On the context-free ambiguity of emoji. arXiv:2201.06302v2. https://doi.org/10.48550/arXiv.2201.06302CrossRefGoogle Scholar
Danesi, M. (2016). The semiotics of emojis: The rise of visual language in the age of the Internet. Bloomsbury.Google Scholar
Feldman, L. B., Aragon, C., Chen, N.-C., & Kroll, J. F. (2017). Emoticons in informal text communication: A new window on bilingual alignment. Bilingualism: Language and Cognition, 21, 209–218. https://doi.org/10.1017/S0140525X15002903CrossRefGoogle Scholar
Feldman, L. B., Christofalos, A., & Sheridan, H. (2022). Memory for emojified text: A comparison of emojis with semantically redundant versus inferential functions. Paper presented at the 62 Meeting of the Psychonomic Society.Google Scholar
Günther, F., Rinaldi, L., & Marelli, M. (2019). Vector-space models of semantic representation from a cognitive perspective: A discussion of common misconceptions. Perspectives on Psychological Science, 14, 1006–1033. https://doi.org/10.1177/1745691619861372CrossRefGoogle ScholarPubMed
Kaye, L. K., Rousaki, A., Joyner, L. C., Barrett, L. A. F., & Orchard, L. J. (2022). The online behaviour taxonomy: A conceptual framework to understand behaviour in computer-mediated communication. Computers in Human Behavior, 37, 107443.CrossRefGoogle Scholar
Morin, O., Müller, T. F., Morisseau, T., & Winters, J. (2022). Cultural evolution of precise and agreed-upon semantic conventions in a multiplayer gaming app. Cognitive Science, 46, e13113.CrossRefGoogle Scholar
Pei, J., & Cheng, L. (2022). Deciphering emoji variation in courts: A social semiotic perspective. Humanities and Social Sciences Communications, 9, 445. https://doi.org/10.1057/s41599-022-01453-5CrossRefGoogle Scholar
Wijeratne, S., Balasuriya, L., Sheth, A., & Doran, D. (2017). EmojiNet: An open service and API for emoji sense discovery. Proceedings of the International AAAI Conference on Web and Social Media, 11(1), 437–446. https://doi.org/10.1609/icwsm.v11i1.14857CrossRefGoogle Scholar