ARTIFICAL INTELLIGENCE IN ENGLISH-MEDIATED COMMUNICATION: BIBLIOMETRIC ANALYSIS OF EMERGING RESEARCH PATTERN (2000-2024)
Abstract
The rapid integration of Artificial Intelligence (AI) into communication practices has transformed the interaction processes by means of bridging language barriers, assisting communication from different languages and cultures. This research aims to map the research trend on AI within English-mediated communication by exploring publication patters, collaboration networks, and thematic scopes in Scopus-indexed journal. Bibliometric analysis was used to interpret thematic transition retrieved from Scopus database period 2000-2024 in order to visualize the co-occurrences and co-citation networks within the field. The findings revealed the remarkable improvement in research about the role of AI in communication processes over the past decade. It revealed significant contributing regions of having highest attention in this scope including US and China, with the leading institution was Stanford University. Meanwhile, the co-citation mapping recognized the authors in this area such as Hancock and Zhai. The findings revealed the role of AI in English-mediated communication covered a wide range of interdisciplinary paradigm integrating several subject areas.
References
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Nugraha, D. S. (2024). Quantitative Analysis within Language Studies: An Analytical Views Based on the Bibliometrics Method. Script Journal: Journal of Linguistics and English Teaching, 9(2), 16–34. https://doi.org/10.24903/sj.v9i2.1695
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Xia, Y., Shin, S.-Y., & Kim, J.-C. (2024). Cross-Cultural Intelligent Language Learning System (CILS): Leveraging AI to Facilitate Language Learning Strategies in Cross-Cultural Communication. https://doi.org/10.20944/preprints202405.0425.v1
Yu, X. (2025). The Core Framework and Reconstructing Strategies for the English-Mediated Communication of Jiang’an Bamboo Carving from a Cultural Translation Perspective. International Journal of Social Sciences and Public Administration, 8(2), 63–70. https://doi.org/10.62051/ijsspa.v8n2.07
Alafnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). ChatGPT as an Educational Tool: Opportunities, Challenges, and Recommendations for Communication, Business Writing, and Composition Courses. Journal of Artificial Intelligence and Technology, 3(2), 60–68. https://doi.org/10.37965/jait.2023.0184
Algouzi, S., & Alzubi, A. A. F. (2023). The Study of AI-Mediated Communication and Socio-Cultural Language-Related Variables: Gmail Reply Suggestions. Applied Artificial Intelligence, 37(1). https://doi.org/10.1080/08839514.2023.2175114
Bisconti, P., Orsitto, D., Fedorczyk, F., Brau, F., Capasso, M., De Marinis, L., Eken, H., Merenda, F., Forti, M., Pacini, M., & Schettini, C. (2023). Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology. AI and Society, 38(4), 1443–1452. https://doi.org/10.1007/s00146-022-01518-8
Chandra, C. (. (2023). The Global Impact of AI-Artificial Intelligence: Recent Advances and Future Directions, A Review. https://orcid.org/0009-
CheshmehSohrabi, M., & Mashhadi, A. (2023). Using Data Mining, Text Mining, and Bibliometric Techniques to the Research Trends and Gaps in the Field of Language and Linguistics. Journal of Psycholinguistic Research, 52(2), 607–630. https://doi.org/10.1007/s10936-022-09911-6
Dai, D. W., Suzuki, S., & Chen, G. (2025). Generative AI for professional communication training in intercultural contexts: Where are we now and where are we heading? Applied Linguistics Review, 16(2), 763–774. https://doi.org/10.1515/applirev-2024-0184
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Dewiana, R. (2025). English-Mediated Digital Communication dalam Administrasi Publik: Peluang Efisiensi dan Tantangan Inklusivitas. Journal of Islamic Communication & Broadcasting, 5(2), 221–236. https://doi.org/10.1016/j.giq.2015.07.001
Döring, N., Le, T. D., Vowels, L. M., Vowels, M. J., & Marcantonio, T. L. (2025). The Impact of Artificial Intelligence on Human Sexuality: A Five-Year Literature Review 2020–2024. Current Sexual Health Reports, 17(1), 1–39. https://doi.org/10.1007/s11930-024-00397-y
Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review. https://doi.org/10.1162/99608f92.8cd550d1
Grinschgl, S., & Neubauer, A. C. (2022). Supporting Cognition With Modern Technology: Distributed Cognition Today and in an AI-Enhanced Future. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.908261
Hancock, J. T., Naaman, M., & Levy, K. (2020a). AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations. Journal of Computer-Mediated Communication, 25(1), 89–100. https://doi.org/10.1093/jcmc/zmz022
Hancock, J. T., Naaman, M., & Levy, K. (2020b). AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations. Journal of Computer-Mediated Communication, 25(1), 89–100. https://doi.org/10.1093/jcmc/zmz022
Hohenstein, J., Kizilcec, R. F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J., & Jung, M. F. (2023). Artificial intelligence in communication impacts language and social relationships. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-30938-9
Huang, T., Wu, C., & Wu, M. (2025). Developing pre-service language teachers’ GenAI literacy: an interventional study in an English language teacher education course. Discover Artificial Intelligence, 5(1). https://doi.org/10.1007/s44163-025-00435-1
Huynh, C. B. Do, Nguyen, A. H., Nguyen, T. H. T., & Le, A. H. (2023). Factors Affecting Students’ Intention to Use Mobile Learning at Universities: An Empirical Study. Journal of System and Management Sciences, 13(1), 281–304. https://doi.org/10.33168/JSMS.2023.0116
Jiang, J., & Fan, L. (2022). Visualizing the Knowledge Domain of Language Experience: A Bibliometric Analysis. SAGE Open, 12(1). https://doi.org/10.1177/21582440211067252
Jin, F., Peng, X., Sun, L., Song, Z., Zhou, K., & Lin, C. H. (2025a). Knowledge (Co-)Construction Among Artificial Intelligence, Novice Teachers, and Experienced Teachers in an Online Professional Learning Community. Journal of Computer Assisted Learning, 41(2). https://doi.org/10.1111/jcal.70004
Jin, F., Peng, X., Sun, L., Song, Z., Zhou, K., & Lin, C. H. (2025b). Knowledge (Co-)Construction Among Artificial Intelligence, Novice Teachers, and Experienced Teachers in an Online Professional Learning Community. Journal of Computer Assisted Learning, 41(2). https://doi.org/10.1111/jcal.70004
Karakas, A. (2023). Breaking down barriers with artificial intelligence (AI): Cross-Cultural communication in foreign language education. In Transforming the Language Teaching Experience in the Age of AI (pp. 215–233). IGI Global. https://doi.org/10.4018/978-1-6684-9893-4.ch012
Kusters, R., Misevic, D., Berry, H., Cully, A., Le Cunff, Y., Dandoy, L., Díaz-Rodríguez, N., Ficher, M., Grizou, J., Othmani, A., Palpanas, T., Komorowski, M., Loiseau, P., Moulin Frier, C., Nanini, S., Quercia, D., Sebag, M., Soulié Fogelman, F., Taleb, S., … Wehbi, F. (2020). Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers in Big Data, 3. https://doi.org/10.3389/fdata.2020.577974
Liengpunsakul, S. (2021). Artificial Intelligence and Sustainable Development in China. Chinese Economy, 54(4), 235–248. https://doi.org/10.1080/10971475.2020.1857062
Lin, Z., & Lei, L. (2020). The research trends of multilingualism in applied linguistics and education (2000-2019): A bibliometric analysis. Sustainability (Switzerland), 12(15). https://doi.org/10.3390/su12156058
Makhachashvili, R., & Semenist, I. (2024). Digital Humanities as a Transdisciplinary Communication Paradigm in the Age of AI. Proceedings IMCIC - International Multi-Conference on Complexity, Informatics and Cybernetics, 2024-March, 286–293. https://doi.org/10.54808/IMCIC2024.01.286
Mannuru, N. R., Shahriar, S., Teel, Z. A., Wang, T., Lund, B. D., Tijani, S., Pohboon, C. O., Agbaji, D., Alhassan, J., Galley, J. Kl., Kousari, R., Ogbadu-Oladapo, L., Saurav, S. K., Srivastava, A., Tummuru, S. P., Uppala, S., & Vaidya, P. (2025). Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development. Information Development, 41(3 Special Issue: “Artificial Intelligence initiatives”), 1036–1054. https://doi.org/10.1177/02666669231200628
Mou, J., Cui, Y., & Kurcz, K. (2019). BIBLIOMETRIC AND VISUALIZED ANALYSIS OF RESEARCH ON MAJOR E-COMMERCE JOURNALS USING CITESPACE. In Journal of Electronic Commerce Research (Vol. 20).
Nugraha, D. S. (2024). Quantitative Analysis within Language Studies: An Analytical Views Based on the Bibliometrics Method. Script Journal: Journal of Linguistics and English Teaching, 9(2), 16–34. https://doi.org/10.24903/sj.v9i2.1695
Stezhko, Z. V., & Khmil, T. V. (2023). Artificial Intelligence as a Socio-Cultural Phenomenon: the Educational Dimension. Anthropological Measurements of Philosophical Research, (24), 68–74. https://doi.org/10.15802/ampr.v0i24.295317
Sun, Y., Wang, G., & Feng, H. (2021a). Linguistic Studies on Social Media: A Bibliometric Analysis. SAGE Open, 11(3). https://doi.org/10.1177/21582440211047572
Sun, Y., Wang, G., & Feng, H. (2021b). Linguistic Studies on Social Media: A Bibliometric Analysis. SAGE Open, 11(3). https://doi.org/10.1177/21582440211047572
Sundar, S. S. (2020). Rise of Machine Agency: A Framework for Studying the Psychology of Human-AI Interaction (HAII). Journal of Computer-Mediated Communication, 25(1), 74–88. https://doi.org/10.1093/jcmc/zmz026
Xia, Y., Shin, S.-Y., & Kim, J.-C. (2024). Cross-Cultural Intelligent Language Learning System (CILS): Leveraging AI to Facilitate Language Learning Strategies in Cross-Cultural Communication. https://doi.org/10.20944/preprints202405.0425.v1
Yu, X. (2025). The Core Framework and Reconstructing Strategies for the English-Mediated Communication of Jiang’an Bamboo Carving from a Cultural Translation Perspective. International Journal of Social Sciences and Public Administration, 8(2), 63–70. https://doi.org/10.62051/ijsspa.v8n2.07
Published
2026-05-11
How to Cite
LAKSANI, Hening; MUSLIHAH, Isnawati.
ARTIFICAL INTELLIGENCE IN ENGLISH-MEDIATED COMMUNICATION: BIBLIOMETRIC ANALYSIS OF EMERGING RESEARCH PATTERN (2000-2024).
EDUCATION AND LINGUISTICS KNOWLEDGE JOURNAL, [S.l.], v. 8, n. 1, p. 115-132, may 2026.
ISSN 2686-1860.
Available at: <https://ejournal.uniska-kediri.ac.id/index.php/EDULINK/article/view/8828>. Date accessed: 19 may 2026.
doi: https://doi.org/10.32503/edulink.v8i1.8828.
Section
Articles
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https://orcid.org/0000-0001-9166-6040
