The Evolution of Emoji Language: Linguistik and Social Implications in Digital Communication
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Background. Emojis have become an important part of digital communication, being used extensively to express emotions and clarify the meaning of messages. Although their use continues to increase, there has not been much research on how emojis affect linguistics and social interaction, especially in relation to different cultural contexts.
Purpose. This research aims to explore the evolution of emoji language and its impact on digital communication, as well as understand the differences in the use of emoji in various cultures and formal and informal situations.
Method. This study uses a descriptive qualitative method by collecting data through questionnaires and in-depth interviews with 100 respondents who use social media. Text analysis was also carried out to identify patterns of emoji use in daily communication.
Results. The results showed that emojis were more often used in informal conversations to convey positive emotions, while their use in formal contexts was more limited and cautious. There are significant differences in the use of emojis between Western and Asian cultures, with Western cultures more likely to use facial expression-based emojis and Asian cultures preferring neutral symbols.
Conclusion. The study concluded that emojis serve as an effective visual communication tool, but their use is greatly influenced by social and cultural contexts. This study made a significant contribution to the understanding of visual language in digital communication and paved the way for further research on the use of emojis in professional and formal contexts.
Ahanin, Z. (2022). A multi-label emoji classification method using balanced pointwise mutual information-based feature selection. Computer Speech and Language, 73(Query date: 2024-09-12 21:08:54). https://doi.org/10.1016/j.csl.2021.101330
Bager-Charleson, S. (2020). Enjoying research in counselling and psychotherapy: Qualitative, quantitative and mixed methods research. Dalam Enjoying Research in Counselling and Psychotherapy: Qualitative, Quantitative and Mixed Methods Research (hlm. 293). https://doi.org/10.1007/978-3-030-55127-8
Bakken, S. (2023). Quantitative and qualitative methods advance the science of clinical workflow research. Journal of the American Medical Informatics Association, 30(5), 795–796. https://doi.org/10.1093/jamia/ocad056
Blobstein, A. (2022). #lets-discuss: Analyzing Student Affect in Course Forums Using Emoji. Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022, Query date: 2024-09-12 21:08:54. https://doi.org/10.5281/zenodo.6853101
Brasil, C. C. P. (2022). “The Fantastic Octet”: Use and contributions to qualitative research. Ciencia e Saude Coletiva, 27(5), 1701–1701. https://doi.org/10.1590/1413-81232027275
Busetto, L. (2020). How to use and assess qualitative research methods. Neurological Research and Practice, 2(1). https://doi.org/10.1186/s42466-020-00059-z
Christou, P. A. (2023). How to use thematic analysis in qualitative research. Journal of Qualitative Research in Tourism, 3(2), 79–95. https://doi.org/10.4337/jqrt.2023.0006
Farah, J. C. (2021). Conveying the perception of humor arising from ambiguous grammatical constructs in human-chatbot interaction. HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, Query date: 2024-09-12 21:08:54, 257–262. https://doi.org/10.1145/3472307.3484677
Gandhi, D. (2022). A Federated Approach to Predicting Emojis in Hindi Tweets. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Query date: 2024-09-12 21:08:54, 11951–11961.
Gascón, B. M. (2019). A cognitive modeling approach on ironical phraseology in Twitter. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11755(Query date: 2024-09-12 21:08:54), 299–314. https://doi.org/10.1007/978-3-030-30135-4_22
Gevers, I. (2022). Linguistic Analysis of Toxic Language on Social Media. Computational Linguistics in the Netherlands Journal, 12(Query date: 2024-09-12 21:08:54), 33–48.
Goh, C. H. (2020). Developing an indigenous cultural values based emoji messaging system: A socio-technical systems innovation approach. WebSci 2020 - Companion of the 12th ACM Conference on Web Science, Query date: 2024-09-12 21:08:54, 32–36. https://doi.org/10.1145/3394332.3402826
Himabindu, G. S. S. N. (2022). A self-attention hybrid emoji prediction model for code-mixed language: (Hinglish). Social Network Analysis and Mining, 12(1). https://doi.org/10.1007/s13278-022-00961-1
Jiang, C. (2023). A Character-level Short Text Classification Model Based on Spiking Neural Networks. Proceedings of the International Joint Conference on Neural Networks, 2023(Query date: 2024-09-12 21:08:54). https://doi.org/10.1109/IJCNN54540.2023.10191963
Kupershtein, E. (2023). ChatGPT as a Game-Changer for Embedding Emojis in Faculty Feedback. Proceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023, Query date: 2024-09-12 21:08:54, 1039–1046. https://doi.org/10.1109/CSCE60160.2023.00173
Lees, A. (2022). A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Query date: 2024-09-12 21:08:54, 3197–3207. https://doi.org/10.1145/3534678.3539147
Leonardi, V. (2022). Communication challenges and transformations in the Digital Era: Emoji language and emoji translation. Language and Semiotic Studies, 8(3), 22–44. https://doi.org/10.1515/lass-2022-2003
Maity, K. (2022). A Multitask Multimodal Framework for Sentiment and Emotion-Aided Cyberbullying Detection. IEEE Internet Computing, 26(4), 68–78. https://doi.org/10.1109/MIC.2022.3158583
Pane, S. F. (2022). A Hybrid CNN-LSTM Model with Word-Emoji Embedding for Improving the Twitter Sentiment Analysis on Indonesia’s PPKM Policy. Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022, Query date: 2024-09-12 21:08:54, 51–56. https://doi.org/10.1109/ICITISEE57756.2022.10057720
Song, M. (2022). A Method for Quantitative Determination of Amino Acids and Organic Acids in Trace Random Urine and Preliminary Application in Research on Vitamin B12 Nutritional Status and Related Metabolism. Acta Academiae Medicinae Sinicae, 44(6), 941–949. https://doi.org/10.3881/j.issn.1000-503X.14968
Togans, L. C. J. (2021). Digitally saving face: An experimental investigation of cross-cultural differences in the use of emoticons and emoji. Journal of Pragmatics, 186(Query date: 2024-09-12 21:08:54), 277–288. https://doi.org/10.1016/j.pragma.2021.09.016
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