KnE Social Sciences
ISSN: 2518-668X
The latest conference proceedings on humanities, arts and social sciences.
The Impact of Artificial Intelligence on User Engagement and Content Delivery in Digital Media
Published date: Jul 15 2025
Journal Title: KnE Social Sciences
Issue title: The International Conference on Da'wah & Communication 2024 (ICDComm 2024)
Pages: 620 - 635
Authors:
Abstract:
The advent of artificial intelligence (AI) is transforming the landscape of digital media platforms, offering unprecedented opportunities for enhancing user engagement and optimizing content delivery. This research aims to explore the transformative potential of AI in enhancing digital media platforms by creating more personalized and engaging content experiences for users. The research methodology is based on a comprehensive literature review, encompassing research aims and boundaries, search approaches, surveys, and the impact on the research framework. The article examines case studies of leading platforms that have successfully implemented AI solutions, highlighting the benefits and challenges encountered. The findings highlight the significant potential of AI to streamline operations, personalize user interactions, and foster a dynamic, interactive media ecosystem. The conclusion emphasizes the importance of balancing innovation with ethical responsibility as digital media platforms evolve with AI. By incorporating AI into content creation and delivery, organizations can enhance user experiences, making them more personalized, engaging, and efficient.
Keywords: artificial intelligence (AI), communications, digital media
References:
[1] R. Girasa, “Artificial Intelligence as a Disruptive Technology,” Artif. Intell. as a Disruptive Technol., 2020, https://doi.org/10.1007/978-3-030-35975-1..
[2] Gupta A, Anpalagan A, Guan L, Khwaja AS. Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues. Array (N Y). 2021;10:100057.
[3] Touseef M, Siddiqui S, Farah N. Understanding the Role of Automation in Society and its Impact on Labour Market. Int. J. Asian Bus. Manag. 2023;2(4):543–58.
[4] McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement. J Clin Epidemiol. 2016 Jul;75:40–6.
[5] Andrus M, Villeneuve S. “Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness,” ACM Int. Conf. Proceeding Ser., pp. 1709–1721, 2022,
[6] Choi M. A Concept Analysis of Digital Citizenship for Democratic Citizenship Education in the Internet Age. Theor Res Soc Educ. 2016;44(4):565–607.
[7] Snyder H. Literature review as a research methodology: an overview and guidelines. J Bus Res. 2019;104(August):333–9.
[8] Indrawan D, Stiadi M, Hendayani N. Revolutionizing Social Media Marketing Through Ai and Automation: an in-Depth Analysis of Strategies, Ethics, and Future Trends. Int. J. Humanit. Soc. Sci. Bus. 2024;3(1):22–45.
[9] Ridder HG. The theory contribution of case study research designs. Bus Res. 2017;10(2):281–305.
[10] Gonçalves AR, Pinto DC, Rita P, Pires T. Artificial Intelligence and Its Ethical Implications for Marketing. Emerg Sci J. 2023;7(2):313–27.
[11] Arifianti R. Location Analysis in Traditional Markets. Case Study of Ciwastra Traditional Market in Bandung. 2024;12(4):971–8.
[12] Powers TM, Ganascia JG. “The Ethics of the Ethics of AI,” Oxford Handb. Ethics AI, no. July 2020, pp. 25–51, 2020, https://doi.org/10.1093/oxfordhb/9780190067397.013.2.
[13] Clarke R. Responsible application of artificial intelligence to surveillance: what prospects? Inf Polity. 2022;27(2):175–91.
[14] Sadiku MN, Ashaolu TJ, Ajayi-Majebi A, Musa SM. Artificial Intelligence in Social Media. Int. J. Sci. Adv. 2021;2(1): https://doi.org/10.51542/ijscia.v2i1.4.
[15] Verma S, Sharma R, Deb S, Maitra D. Artificial intelligence in marketing: systematic review and future research direction. Int J Inf Manag Data Insights. 2021;1(1):100002.
[16] Wellman ML, Stoldt R, Tully M, Ekdale B. Ethics of Authenticity: Social Media Influencers and the Production of Sponsored Content. J Media Ethics. 2020;35(2):68–82.
[17] Almaraz De La Garza L, Farrow A, Lam R, Shum L. “A Scenario for the Future of AI and Technology in Public Education,” iJournal Student J. Fac. Inf. 2022;8(1):76–96.
[18] Prasad N, Chien I, Regan T, Enrique A, Palacios J, Keegan D, et al. Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety. PLoS One. 2023 Nov;18(11):e0272685.
[19] Shin D. User Perceptions of Algorithmic Decisions in the Personalized AI System:Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability. J Broadcast Electron Media. 2020;64(4):541–65.
[20] Krywalski Santiago J, Moreira Castelo I. Digital influencers: an exploratory study of influencer marketing campaign process on instagram. Online J. Appl. Knowl. Manag. 2020;8(2):31–52.