The Social Construction of Technology for the Use of CHATGPT in Indonesia

Authors

  • Tangguh Okta Wibowo ID Scopus 57208619595, Universitas Multimedia Nusantara

DOI:

https://doi.org/10.21111/ejoc.v9i1.11479

Keywords:

ChatGPT, relevant social group, online media channel, social construction of technology, literature review

Abstract

The purpose of this study is to map the vulnerable issue about ChatGPT in academic field. This study seeks to understand the role of online media channels in mediating the understanding behind the use of ChatGPT in Indonesia. This is because the media also constructs how new technology is used, so that the use of technology is not neutral or taken for granted according to what users want. Thus, mapping the information constructed by the media is important to locate in the context of the use of ChatGPT in Indonesia. The main research question of this paper is how does the media construct the discourse related to how ChatGPT should be used? This study tries to fill the knowledge gap over the use of ChatGPT through the social construction of technology (SCOT) approach. This study uses literature review as a method to understand the discourse about the use of ChatGPT through the existence of "relevant social groups". The result shows that online media channels not only act as producers of information, but also act as groups that construct a discourse behind the presence of ChatGPT. This study expands by analyzing the reporting or production of information about ChatGPT through online media channels in Indonesia by identifying three main themes namely context, navigation, and imagination. From the results of this study, it can be concluded that the use of ChatGPT constructs a discourse that triggers concerns regarding its misuse as misleading technology if there is no regulation surrounding it. Therefore, strict laws, regulations, and supervision need to be implemented to ensure the optimal use of ChatGPT and in accordance with the desired goals in related fields.

References

Ambardi, K. (2014). Mapping digital media: Indonesia. https://www.refworld.org/pdfid/55b62da84.pdf

Bakardjieva, M. (2005). Internet society: the internet in everyday life. Sage Publications.

Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., Chung, W., Do, Q. V., Xu, Y., & Fung, P. (2023). A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. ArXiv. http://arxiv.org/abs/2302.04023

Biswas, S. S. (2023a). Potential Use of Chat GPT in Global Warming. Annals of Biomedical Engineering, 3, 3–4. https://doi.org/10.1007/s10439-023-03171-8

Biswas, S. S. (2023b). Role of Chat GPT in Public Health. Annals of Biomedical Engineering, 0123456789. https://doi.org/10.1007/s10439-023-03172-7

Chan, A. (2022). GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry. AI and Ethics, 3(1), 53–64. https://doi.org/10.1007/s43681-022-00148-6

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00408-3

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8

Fathiyyah, R. N., & Rina, N. (2019). Pengaruh kredibilitas youtuber terhadap sikap penonton pada channel youtube atta halilintar (Studi kuantitatif pada penonton youtube atta halilintar di instagram @_ateam.ofc). Journal Acta Diurna, 15(2), 98. https://doi.org/10.20884/1.actadiurna.2019.15.2.2135

Fauziyyah, S. N., & Rina, N. (2020). Literasi Media Digital: Efektivitas Akun Instagram @infobandungraya Terhadap Pemenuhan Kebutuhan Informasi Followers. MEDIALOG: Jurnal Ilmu Komunikasi, 3(1), 13–24. https://doi.org/10.35326/medialog.v3i1.479

Hashem, R., Ali, N., El Zein, F., Fidalgo, P., & Abu Khurma, O. (2023). AI to the rescue: Exploring the potential of ChatGPT as a teacher ally for workload relief and burnout prevention. Research and Practice in Technology Enhanced Learning, 19, 023. https://doi.org/10.58459/rptel.2024.19023

Hill, A., & Lee, J. C. (2021). Roamers: Audiences on the move across entertainment platforms in southeast asia. Javnost- The Public, 29(1), 98–114. https://doi.org/10.1080/13183222.2021.1932985

Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., Adnan, W., Alhanai, T., AlShebli, B., Baghdadi, R., Bélanger, J. J., Beretta, E., Celik, K., Chaqfeh, M., Daqaq, M. F., Bernoussi, Z. El, Fougnie, D., Garcia de Soto, B., Gandolfi, A., … Zaki, Y. (2023). Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific Reports, 13(1), 1–13. https://doi.org/10.1038/s41598-023-38964-3

Jiao, W., Wang, W., Huang, J., Wang, X., & Tu, Z. (2023). Is ChatGPT A Good Translator? A Preliminary Study. ArXiv, 1–8. http://arxiv.org/abs/2301.08745

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 1–13. https://doi.org/10.1016/j.lindif.2023.102274

Kaur, M., Singh, M., & Ganapathy, M. (2018). Understanding Plagiarism from the Lens of First Year Tertiary Level Students. Pertanika J. Soc. Sci. & Hum, 26, 159–177.

King, M. R. (2023). A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education. Cellular and Molecular Bioengineering, 16(1), 1–2. https://doi.org/10.1007/s12195-022-00754-8

Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023). Generating scholarly content with ChatGPT: ethical challenges for medical publishing. The Lancet. Digital Health, 5(3), e105–e106. https://doi.org/10.1016/S2589-7500(23)00019-5

Lund, B., & Ting, W. (2023). Chatting about ChatGPT: How May AI and GPT Impact Academia and Libraries? SSRN Electronic Journal, January. https://doi.org/10.1108/LHTN-01-2023-0009

Macdonald, C., Adeloye, D., Sheikh, A., & Rudan, I. (2023). Can ChatGPT draft a research article? An example of population-level vaccine effectiveness analysis. Journal of Global Health, 13, 01003. https://doi.org/10.7189/jogh.13.01003

McLuhan, M. (1964). Understanding Media: The extensions of man. McGraw-Hill.

Mujiono, M., & Susilo, D. (2021). Alternative learning media post-covid-19: uncertainty reduction theory perspective. Jurnal Komunikasi Profesional, 5(5), 469–480. https://doi.org/10.25139/jkp.v5i5.4242

Nasrullah, R. (2014). Teori dan Riset Media Siber (Cybermedia). Prenadamedia.

Qadir, J. (2022). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education. TechRxiv. https://doi.org/10.36227/techrxiv.21789434.v1

Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1), 1–22. https://doi.org/10.37074/jalt.2023.6.1.9

Sakdulyatham, R., Preeyanont, S., Lipikorn, R., & Watakakosol, R. (2018). Smartphone Usage Capabilities among Younger and Elderly Users. Pertanika J. Soc. Sci. & Hum, 26(1), 181–198.

Somasundaram, R. (2023) Elsevier breaks new ground: Chatgpt listed as a journal author, iLovePhD. Available at: https://www.ilovephd.com/elsevier-breaks-new-ground-chatgpt-listed-as-a-journal-author/ (Accessed: March 22, 2023).

Sorin, V., Klang, E., Sklair-Levy, M., Cohen, I., Zippel, D. B., Balint Lahat, N., Konen, E., & Barash, Y. (2023). Large language model (ChatGPT) as a support tool for breast tumor board. Npj Breast Cancer, 9(1), 1–4. https://doi.org/10.1038/s41523-023-00557-8

Taecharungroj, V. (2023). “ What Can ChatGPT Do ?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter.

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00237-x

van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614(7947), 224–226. https://doi.org/10.1038/d41586-023-00288-7

Wang, H., Xiong, W., Wu, G., & Zhu, D. (2018). Public–private partnership in Public Administration discipline: a literature review. Public Management Review, 20(2), 293–316. https://doi.org/10.1080/14719037.2017.1313445

Wijaya, B. S., Anitawati, M. T., Suharyanti, & Fortunisa, A. (2022). Media Brand Reputation in the Digital Milieu: The Effects of Online News Ethics and Logic on Media Brand Image. Jurnal Komunikasi: Malaysian Journal of Communication, 38(3), 106–125. https://doi.org/10.17576/JKMJC-2022-3803-07

Winchester, C. L., & Salji, M. (2016). Writing a literature review. Journal of Clinical Urology, 9(5), 308–312. https://doi.org/10.1177/2051415816650133

Xiao, Y., & Watson, M. (2019). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971

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Published

2024-06-28