Utilization of Artificial Intelligence in Automating the Writing of News Texts in High School: Chatgpt Case Study
DOI:
https://doi.org/10.24256/ideas.v13i1.5912Keywords:
Keywords: Artificial Intelligence, Automation, News Text, ChatGPT, JournalismAbstract
Abstract
Advances in artificial intelligence (AI) technology have opened up new opportunities in various fields, one of which is journalism. In the rapidly developing digital era, the use of AI in the media production process, including news writing, is becoming increasingly relevant. This research aims to analyze the use of ChatGPT, an AI-based language model, in automating news text writing. This model is capable of processing and generating text automatically, which can speed up and simplify journalists' tasks in producing news content. The method used in this research is a case study with a qualitative descriptive approach to explore more deeply the role and contribution of ChatGPT in news writing. The research results show that ChatGPT can help increase speed and efficiency in the news writing process. This model can organize news structures systematically, provide editing suggestions, and produce text with a neater flow. However, there are several challenges that need to be considered, such as the accuracy of the information produced, potential algorithm bias, and limitations in understanding more complex contexts. ChatGPT, although advanced, still has limitations in dealing with issues that require in-depth reasoning or richer substantive interpretation. The implications of this research provide broader insight into the potential and limitations of using AI to support modern journalism practices, as well as opening further discussions regarding ethics and responsibility in the use of this technology. Apart from that, the results of this research can also be used in learning to write news in high school to improve students' skills in understanding effective journalistic structure and language.
References
Aktay, S. (2023). Chatgpt in education. TAY Journal, 7(2), 378-406. https://doi.org/10.29329/tayjournal.2023.543.03
Ar, N. A. E., & Syam, A. T. (2024). Increasing Students' Reading Skills Using Reading Box in Junior High School. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 12(2), 1249-1260.
Madya, S. (2011). Teori dan Praktik Penelitian Tindakan (Action Research). Bandung: Alfabeta.
Alneyadi, S. and Wardat, Y. (2023). ChatGPT: revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools. Contemporary Educational Technology, 15(4), ep448. https://doi.org/10.30935/cedtech/13417
Amira, P. (2023). Framing analysis of COVID-19 vaccination boycott news on suara.com and kompas.com. Jurnal Spektrum Komunikasi, 11(1), 8-24. https://doi.org/10.37826/spektrum.v11i1.419
Amponsah, P. (2024). Navigating the new frontier: a comprehensive review of ai in journalism. Advances in Journalism and Communication, 12(01), 1-17. https://doi.org/10.4236/ajc.2024.121001
Campbell, S. (2023). What is human about writing? Writing process theory and ChatGPT... https://doi.org/10.21203/rs.3.rs-3208562/v1
Chiu, T. (2024). A classification tool to foster self-regulated learning with generative artificial intelligence by applying self-determination theory: a case of chatgpt. Educational Technology Research and Development, 72(4), 2401-2416. https://doi.org/10.1007/s11423-024-10366-w
Cuartielles, R. (2023). Retraining fact-checkers: the emergence of ChatGPT in information verification. El Profesional De La Información. https://doi.org/10.3145/epi.2023.sep.15
Danzon-Chambaud, S. (2021). A systematic review of automated journalism scholarship: guidelines and suggestions for future research. Open Research Europe, 1, 4. https://doi.org/10.12688/openreseurope.13096.1
Danzon-Chambaud, S. (2023). Automated news in practice: a cross-national exploratory study. Open Research Europe, 3, 95.
Er, E. (2023). Will ChatGPT get you caught? rethinking plagiarism detection. https://doi.org/10.35542/osf.io/fnh48
Fazil, A. (2024). A comprehensive review of bias in AI algorithms. Nusantara Hasana Journal, 3(8), 1-11. https://doi.org/10.59003/nhj.v3i8.1052
Graefe, A., & Bohlken, N. (2020). Automated journalism: A meta-analysis of readers’ perceptions of human-written in comparison to automated news. Media and communication, 8(3), 50-59.
Gutiérrez-Caneda, B. (2023). AI application in journalism: ChatGPT and the uses and risks of an emergent technology. El Profesional De La Información. https://doi.org/10.3145/epi.2023.sep.14
Husnaini, H., Iksan, M., & Wiwin, W. (2023). Students’ Anxiety in Learning English Writing Skills at the Senior High School Level. FOSTER: Journal of English Language Teaching, 4(2), 93-110.
Ismayanti, D., Said, Y. R., Usman, N., & Nur, M. I. (2024). The Students Ability in Translating Newspaper Headlines into English: A Case Study. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 12(1), 108-131.
Kendall, G. (2023). Risks of abuse of large language models, like ChatGPT, in scientific publishing: authorship, predatory publishing, and paper mills. Learned Publishing, 37(1), 55-62. https://doi.org/10.1002/leap.1578
Leppänen, L., Tuulonen, H., & Sirén-Heikel, S. (2020). Automated journalism as a source of and a diagnostic device for bias in reporting. Media and Communication, 8(3), 39-49. https://doi.org/10.17645/mac.v8i3.3022
Langi, N. T. (2024). Using a Picture of Luwu Culture Activity for Teaching Vocabulary. English Language Teaching Methodology, 4(3), 482-488.
Mahony, S., & Chen, Q. (2024). Concerns about the role of artificial intelligence in journalism and media manipulation. Journalism, 14648849241263293.
Masruddin, M., & Nasriandi, N. (2022). Lexical and Syntactical Errors Performed by Junior High School Students in Writing Descriptive Text. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 10(1), 1094-1100.
Nguyen, T. (2024). ChatGPT in medical education: a precursor for automation bias? Jmir Medical Education, 10, e50174. https://doi.org/10.2196/50174
Noain Sánchez, A. (2022). Addressing the Impact of Artificial Intelligence on Journalism: The perception of experts, journalists and academics.
Okaiyeto, S. (2023). Generative AI in education: to embrace it or not? International Journal of Agricultural and Biological Engineering, 16(3), 285-286. https://doi.org/10.25165/j.ijabe.20231603.8486
Paliwal, V., Chandra, S., & Sharma, S. (2020). Blockchain technology for sustainable supply chain management: A systematic literature review and a classification framework. Sustainability, 12(18), 7638.
Pavlik, J. (2023). Collaborating with ChatGPT: considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), 84-93. https://doi.org/10.1177/10776958221149577
Somorin (2024). Ethical imperatives in the era of AI journalism: navigating the intersection of technology and responsibility. Advances in Multidisciplinary & Scientific Research Journal Publication, 12(2), 31-36. https://doi.org/10.22624/aims/humanities/v12n2p4
Umam, K. (2024). Educational views on the use of chatgpt: research was conducted on teachers. Journal International Inspire Education Technology, 3(1), 55-63. https://doi.org/10.55849/jiiet.v3i1.625
Zhang, H. (2024). The applications, risks and countermeasures of chatgpt integration into school education. ASDER, 1(2), 130. https://doi.org/10.61935/asder.2.1.2024.p130
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