THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN POLITICAL DIGITAL MARKETING STRATEGIES
Abstract
This research aims to explore the latest developments in the use of Artificial Intelligence in political digital marketing strategies. The current advancement in AI technology offers digital solutions for effective and efficient marketing. Furthermore, the use of AI in political marketing needs to consider factors such as public trust and transparency. The research method employed in this study is a Literature Review, involving data collection through sourcing and reconstruction from various sources, such as books, journals, and existing research. The findings indicate that in the context of digital political marketing, AI is utilized to analyze voter behavior, create emotional connections between candidates/parties and the public, identify potential trends, develop effective campaign strategies, and target specific campaign messages. Some effective AI assistants in supporting political marketing include Cambridge Analytica, Chat GPT, GPT-3, Generative Adversarial Networks (GANs), Brandwatch, and MidJourney. However, challenges in implementing AI in digital political marketing include privacy concerns. Therefore, transparency, ethics, and data security should be prioritized to maintain public trust and protect the integrity of democracy when implementing Artificial Intelligence in political marketing.
References
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Epstein, MJ. (2018). Adapting For Digital Survival. Strategic Finance. https://sfmagazine.com/articles/2018/february/adapting-for-digital-survival/?psso=true. (Accessed June 3, 2023).
Štrukelj, E. (2018). Writing A Systematic Literature Review. https://blog.efpsa.org/2018/01/03/writing-a-systematic-literature-review/. Access June 6, 2023.
Almeida, F., Balduino, J., Costa, C., & Meira Jr, W. (2020). Real-time Analysis of Political Sentiments with Deep Learning on Social Data Streams. ACM Transactions on Intelligent Systems and Technology, 11(2), 1-27.
Anshari, M. , Almunawar, MN , Lim, SA , & Al-Mudimigh, A. (2018). Customer relation-ship management and big data-enabled: Personalization & customization of services. Applied Computing and Informatics, 15(2), 94–101 .
Boerman, SC, Kruikemeier, S., & Zuiderveen Borgesius, FJ (2017). Online Behavioral Advertising: A Literature Review And Research Agenda. Journal of Advertising, 46(3), 363–376.
Bradshaw, S., & Howard, P.N. (2019). The Global Rise Of Strategic Political Communication: Algorithmic Technologies, Online Data Exploitation, And The Future Of Democracy. International Journal of Communication, 13(20).
Davis, J. (2021). AI in Political Campaigns: Opportunities and Challenges. Communication Research Reports, 40(1), 57-67.
Dubois, E., & Blank, G. (2018). The Echo Chamber is Overstated: The Moderating Effect of Political Interest and Diverse Media. Information, Communication & Society, 21(5), 729-745.
Hemsley-Brown, J., & Lee, N. (2020). The Use Of Artificial Intelligence In Political Marketing: An Exploratory Study Using UK Party Manifestos And Press Releases From The Brexit Referendum Campaign. Journal of Political Marketing.
Hennig-Thurau, T., Henning, V., & Sattler, H. (2020). Artificial Intelligence and The Customer Journey: Identifying Opportunities For Marketing Science. International Journal of Research in Marketing, 37(3), 573-582.
Jilani, AA, & Mackworth-Young, CG (2015). The Role Of Citrullinated Protein Antibodies In Predicting Erosive Disease In Rheumatoid Arthritis: A Systematic Literature Review And Meta-Analysis. International. Journal of Rheumatology, 2015(8).
Johnson, S. (2021). The Role of AI in Digital Political Marketing. Journal of Political Marketing, 20(3), 245-260.
Kumar, V. , Rajan, B. , Venkatesan, R. , & Lecinski, J. (2019). Understanding The Role Of Artificial Intelligence In Personalized Engagement Marketing. California Management Review, 61(4), 135–155
Marwantika, Asna Istya, dan Nurwahyuni Nurwahyuni. “Independensi Beritatrends. Com dalam Pemberitaan Politik Lokal Jawa Timur.” Journal of Communication Studies 1, no. 01 (2021): 1–18.
Marwantika, Asna, Galih Prabowo, and Ahmanda Fauzi. 2023. “Social Media Literacy Assistance to Ponorogo Instagram Admins As Citizen Journalism Activities”. Amalee: Indonesian Journal of Community Research and Engagement 4 (2), 555 -69. https://doi.org/10.37680/amalee.v4i2.2287.
Marwantika, Asna Istya. “Analisis Bibliometrik Tren Kajian Dakwah Pada Masa Pandemi COVID-19 di Indonesia.” Journal of Da’wah, 2022. http://ejournal.iainkerinci.ac.id/index.php/dakwah/article/view/1274.
———. “TREN KAJIAN DAKWAH DIGITAL DI INDONESIA : SYSTEMATIC LITERATURE REVIEW.” Proceeding of Conference on Strengthening Islamic Studies in The Digital Era 1, no. 1 (2021): 249–65.
Mohiuddin Babu Mollah et al. (2021). The Impact of Digital Media on Consumers' Purchasing Behavior - A Study with Reference to Bangladesh. Journal of Asian Finance, Economics, and Business, 8(5).
Nobre, G., F. (2020). Artificial Intelligence (AI) In Communication: Journalism, Public Relations, Advertising And Propaganda. Preprint, ResearchGate.
Rudra Koustav et.al. (2021). Artificial Intelligence In Politics. International Conference on Artificial Intelligence & Computer Science (AICS) Proceedings.
Roberts, J. (2021). The Role of Artificial Intelligence in Political Marketing. Journal of Political Marketing, 20(3), 235-250.
Siau, KL, Yang, Y. (2017). Impact of Artificial Intelligence, Robotics, and Machine Learning on Sales and Marketing. MWAIS 2017 Proceedings. 48.
Simon, HA (1987). Artificial Intelligence: An Empirical Science. Artificial Intelligence, 31(3), 295-312.
Spring, M., Araujo, L., & Shafqat, W. (2017). The Impact of Emerging Technology on Competitive Advantage in Emerging Economies. Journal of Strategy and Management, 10(3), 354-375.
Taddeo, M., & Floridi, L. (2018). Regulate Artificial Intelligence To Avert Cyber Arms Race. Nature, 556(7701), 296-298.
Buku
Cerf, Vint. (2013). Internet and Human Rights. In: Internet Governance: Infrastructure and Institutions. Oxford University Press: London.
Durkin, & John. (1994). Expert System Design And Development. Hall: Pretice.
Helberger, N., Van Es, B. (2020). Artificial Intelligence and Democratic Values: The Impact on Political Rights and Freedoms. Council of European Studies.
Howard, PN, & Hussain, MM (2013). Democracy's Fourth Wave? Digital Media and The Arab Spring. Oxford University Press: London.
Lessig, L. (2004). Free Culture: The Nature and Future of Creativity. Penguin Press: London.
Lilleker, DG (2018). Political Marketing And The Democratic Process. In Political Marketing and Management in the 2017 New Zealand Election (pp. 3-18). Springer International Publishing.
Website
Columbus, L. (2016). Ten Ways Big Data Is Revolutionizing Marketing And Sales. Available from: https://www.forbes.com/sites/louiscolumbus/2016/05/09/ten-ways-big-data-is-revolutionizing-marketing-and- sales/. (Accessed June 4, 2023).
Epstein, MJ. (2018). Adapting For Digital Survival. Strategic Finance. https://sfmagazine.com/articles/2018/february/adapting-for-digital-survival/?psso=true. (Accessed June 3, 2023).
Štrukelj, E. (2018). Writing A Systematic Literature Review. https://blog.efpsa.org/2018/01/03/writing-a-systematic-literature-review/. Access June 6, 2023.
Published
2023-09-30
How to Cite
ALFIANI, Sandra; HASTJARJO, Sri; SUDARMO, Sudarmo.
THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN POLITICAL DIGITAL MARKETING STRATEGIES.
Proceeding of Conference on Strengthening Islamic Studies in The Digital Era, [S.l.], v. 3, n. 1, p. 246-256, sep. 2023.
ISSN 2808-4675.
Available at: <https://prosiding.iainponorogo.ac.id/index.php/ficosis/article/view/966>. Date accessed: 22 dec. 2024.
