Public relations' disruption model on chatgpt issue
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Keywords:
public relations disruption, tesla optimus, replygpt, language model
Abstract
With the rising of AI technology, a new disruption occurred in society. Disruption can actually be a social phenomenon that exists even in Indonesian society. However, the current state is making the disruption become a commercial interest. A bold example is Tesla's AI Bot named Optimus in the @TeslaAIBot account and a new GPT used for Twitter commentaries called @ReplyGPT. Content Analysis was the methodology for this research, with crawling data related to ChatGPT from Twitter from December 2022-January 2023. Both served as the bridge between humans and AI, and both pushed awareness that there are other creatures than humans. The sequential explanatory design method will discover a new perspective of GPT as advanced technology. People realise that the closest thing that could change human civilisation is language models.
References
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Santoso, N. R., & Negoro, S. H. (2019). Public relations and tourism: finding public relations’ role in communicating tourist destination. Jurnal Studi Komunikasi, 3(2), 138–150.
Saraswat, V., & Yun, A. (2009). Anonymous signatures revisited. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-642-04642-1_13
Sezgin, E., Sirrianni, J., & Linwood, S. L. (2022). Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model. JMIR Medical Informatics, 10(2), e32875. https://doi.org/10.2196/32875
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Ante, L. (2022). How Elon Musk’s Twitter Activity Moves Cryptocurrency Markets. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4065313
Archwell, D., & Mason, J. (2021). Evaluating corporate leadership in the united states: a review of elon musk leadership. African Journal of Emerging Issues, 3(2).
Ash, L. (2020). Here’s How Airlines Use Social Media To Reduce The Impact of Travel Disruptions.
Brunner, B., & Smallwood, A. (2019). Prioritizing public interest in public relations: Public interest relations. Public Relations Inquiry, 8(3), 245–264.
Cahyaningrum, N. I., Yoshida Fatima, D. W., Kusuma, W. A., Ramadhani, S. A., Destanto, M. R., & Nooraeni, R. (2020). Analysis of User Sentiment of Twitter to Draft KUHP. Jurnal Matematika, Statistika Dan Komputasi, 16(3), 273. https://doi.org/10.20956/jmsk.v16i3.8239
Chen, M., Radford, A., Child, R.Wu, J., Jun, H., Dhariwal, P., & Luan, D. (2020). Image GPT. Icml, PartF16814, 1669–1681.
Chin, X., Kho, J., Tey, C., Wong, S., & Yew, J. (2017). Managerial Perceptions towards The Role Of Public Relations: Public Relations Practices In The Malaysian Hotel Industry. UTAR.
Coco, S. L., & Eckert, S. (2020). #sponsored: Consumer insights on social media influencer marketing. Public Relations Inquiry, 9(2), 177–194. https://doi.org/10.1177/2046147X20920816
Dale, R. (2021). GPT-3: What’s it good for? Natural Language Engineering, 27(1), 113–118. https://doi.org/10.1017/S1351324920000601
Dehouche, N. (2021). Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3). Ethics in Science and Environmental Politics, 21, 17–23. https://doi.org/10.3354/esep00195
Floridi, L., & Chiriatti, M. (2020a). GPT-3 Creative Fiction. Minds and Machines, 30(4), 681–694.
Floridi, L., & Chiriatti, M. (2020b). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681–694. https://doi.org/10.1007/s11023-020-09548-1
Gesualdi, M. (2019). Revisiting the relationship between public relations and marketing: Encroachment and social media. Public Relations Review. https://doi.org/10.1016/j.pubrev.2018.12.002
Hidayat, E., Susilo, D., & Garcia, E. M. A. (2021). Handling Covid-19 in Sampang: leadership and local elite public communication strategy. Jurnal Studi Komunikasi, 5(2), 319–335. https://doi.org/10.25139/jsk.v5i2.3613
Hopster, J. (2021). What are socially disruptive technologies? Technology in Society, 67, 101750. https://doi.org/10.1016/j.techsoc.2021.101750
Hu, Y., Kuang, W., Qin, Z., Li, K., Zhang, J., Gao, Y., Li, W., & Li, K. (2023). Artificial Intelligence Security: Threats and Countermeasures. ACM Computing Surveys, 55(1), 1–36. https://doi.org/10.1145/3487890
Inayah, D., & Purba, F. L. (2021). Implementasi social network analysis dalam penyebaran informasi virus corona (covid-19) di twitter. Seminar Nasional Official Statistics, 2020(1), 292–299. https://doi.org/10.34123/semnasoffstat.v2020i1.573
Ivankova, N. V., Creswell, J. W., & Stick, S. L. (2006). Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice. Field Methods, 18(1), 3–20. https://doi.org/10.1177/1525822X05282260
Jiang, Y., Li, X., Luo, H., Yin, S., & Kaynak, O. (2022). Quo vadis artificial intelligence? Discover Artificial Intelligence, 2(1), 4. https://doi.org/10.1007/s44163-022-00022-8
Kivimaa, P., Laakso, S., Lonkila, A., & Kaljonen, M. (2021). Moving beyond disruptive innovation: A review of disruption in sustainability transitions. Environmental Innovation and Societal Transitions, 38, 110–126. https://doi.org/10.1016/j.eist.2020.12.001
Losada, D. E., Crestani, F., & Parapar, J. (2019). Overview of eRisk 2019 Early Risk Prediction on the Internet. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-030-28577-7_27
Lucy, L., & Bamman, D. (2021). Gender and Representation Bias in GPT-3 Generated Stories. Proceedings of the Third Workshop on Narrative Understanding, 48–55. https://doi.org/10.18653/v1/2021.nuse-1.5
Montemayor, C. (2021). Language and Intelligence. Minds and Machines, 31(4), 471–486. https://doi.org/10.1007/s11023-021-09568-5
Mustofa, A., Susilo, D., Hidayatulloh, N., Huda, M., & Maseleno, A. (2021). A Study on the Requirement of Corporate Social Responsibility and Its Benefits in Corporate World. Turkish Online Journal of Qualitative Inquiry, 12(5), 499–513.
Phelan, O., McCarthy, K., & Smyth, B. (2010). Buzzer - Online real-time topical news article and source recommender. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-642-17080-5_27
Pilipiszyn, A. (2021). GPT-3 Powers the Next Generation of Apps. OpenAI.
Romele, A. (2022). Images of Artificial Intelligence: a Blind Spot in AI Ethics. Philosophy & Technology, 35(1), 4. https://doi.org/10.1007/s13347-022-00498-3
Romero, D. M., Galuba, W., Asur, S., & Huberman, B. A. (2011). Influence and passivity in social media. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-642-23808-6_2
Santoso, N. R., & Negoro, S. H. (2019). Public relations and tourism: finding public relations’ role in communicating tourist destination. Jurnal Studi Komunikasi, 3(2), 138–150.
Saraswat, V., & Yun, A. (2009). Anonymous signatures revisited. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-642-04642-1_13
Sezgin, E., Sirrianni, J., & Linwood, S. L. (2022). Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model. JMIR Medical Informatics, 10(2), e32875. https://doi.org/10.2196/32875
Sotnik, S., & Lyashenko, V. (2022). Prospects for Introduction of Robotics in Service.
Susilo, D. (2021). Buku ajar komunikasi kontemporer CSR dalam tinjauan praksis komunikasi. Unitomo Press.
Susilo, D. (2022). Teori - teori Komunikasi Manusia. Gramedia.
Susilo, D., Christantyawati, N., Joko Prasetyo, I., & Rodrick Juraman, S. (2019). Content analysis of LINE application user: intersecting technology and social needed. Journal of Physics: Conference Series, 1175, 012224. https://doi.org/10.1088/1742-6596/1175/1/012224
Toyon, M. A. S. (2021). Explanatory sequential design of mixed methods research: Phases and challenges. International Journal of Research in Business and Social Science (2147- 4478), 10(5), 253–260. https://doi.org/10.20525/ijrbs.v10i5.1262
Van Heerden, G., & Rensburg, R. (2005). Public relations roles empirically verified among public relations practitioners in Africa. Communicare: Journal for Communication Sciences in Southern Africa, 24(1), 69–88.
Venture, G., Muraccioli, B., Bourguet, M.-L., & Urakami, J. (2022). Can robots be good public speakers? Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction, 1–6. https://doi.org/10.1145/3490149.3505576
Wilcox, D. L., Cameron, G. T., & Reber, B. H. (2014). Public Relations: Strategies and Tactics. Pearson.
Wilson, C. (2022). Public engagement and AI: A values analysis of national strategies. Government Information Quarterly, 39(1), 101652. https://doi.org/10.1016/j.giq.2021.101652
Wilson, C., & van der Velden, M. (2022). Sustainable AI: An integrated model to guide public sector decision-making. Technology in Society, 68, 101926. https://doi.org/10.1016/j.techsoc.2022.101926
You, L., & Hon, L. (2022). Measuring consumer digital engagement and political consumerism as outcomes of corporate political advocacy. Public Relations Review, 48(5), 102233. https://doi.org/10.1016/j.pubrev.2022.102233
Published
2023-03-31
How to Cite
Kertati, I., Sanchez, C. Y., Basri, M., Husain, M. N., & Winoto Tj, H. (2023). Public relations’ disruption model on chatgpt issue. Jurnal Studi Komunikasi, 7(1), 034-048. https://doi.org/10.25139/jsk.v7i1.6143
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