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Behavioral Patterns of Arab Gen Z in Consuming AI-Assisted Media Content: A Mixed-Methods Investigation Integrating Uses and Gratifications and Interactive Theory

Rakan Ghazi Alfaleh 1 *
1 UAE Ministry of Education* Corresponding Author
Educational Point, 3(1), 2026, e161, https://doi.org/10.71176/edup/18793
Publication date: Jun 21, 2026
Research Article
Open Access Open Access
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ABSTRACT

This study explores the behavior patterns of the Arab Generation Z in relation to consumption of artificial intelligence (AI) assisted media content on digital platforms based on the Uses and Gratifications Theory (UGT) and the Interactive Theory. With the advent of AI personalization and curation of the digital experience, it is now more than ever that the way the young audience perceives and engages with the algorithmically generated content is being questioned. The research uses a mixed-methods design whereby quantitative and qualitative methods are integrated to achieve the reliability of statistics and interpretations. The quantitative stage consisted of 428 Arab Gen Z surveyed on motivations, interactive behaviors and perceived gratifications using a five-point Likert scale and applied on an online questionnaire. To examine the perceptions, attitudes, and awareness of AI as a force of influencing digital content, the qualitative phase involved ten semi-structured interviews to understand the perspective of the participants. Also, the use of a content analysis of 25 posts about AI-assisted social media on the major platforms (Tik Tok, Instagram, and YouTube) was performed to find the visual or textual signs of AI integration, including synthetic voices or auto-generated captions. The results showed that 68 percent of the respondents were strongly interested in AI-suggested content and 72 percent said they received powerful informational and entertainment satisfaction. Nevertheless, the awareness of AI presence in media production manifested itself in only 61 percent. Qualitative data implied ambivalent views the fascination with the creative possibilities of AI combined with the fear of authenticity and manipulation of emotions. Its results confirm a Hybrid Model of Gratification, where intrinsic motivations (e.g., entertainment and self-expression) are interacting with algorithmic affordances (e.g., AI personalization), and it has a significant predictive value of engagement behaviors (r = .61, p <.001). Engagement (r = .46, p < .001) and authenticity attitudes (r =.38, p <.01) were moderately related to the AI awareness. This model is the major theoretical contribution of the study to the expansion of UGT in AI-mediated situations.

KEYWORDS

Generation Z artificial intelligence media consumption uses and gratifications theory interactive theory digital behavior Arab audiences

CITATION (APA)

Alfaleh, R. G. (2026). Behavioral Patterns of Arab Gen Z in Consuming AI-Assisted Media Content: A Mixed-Methods Investigation Integrating Uses and Gratifications and Interactive Theory. Educational Point, 3(1), e161. https://doi.org/10.71176/edup/18793
Harvard
Alfaleh, R. G. (2026). Behavioral Patterns of Arab Gen Z in Consuming AI-Assisted Media Content: A Mixed-Methods Investigation Integrating Uses and Gratifications and Interactive Theory. Educational Point, 3(1), e161. https://doi.org/10.71176/edup/18793
Vancouver
Alfaleh RG. Behavioral Patterns of Arab Gen Z in Consuming AI-Assisted Media Content: A Mixed-Methods Investigation Integrating Uses and Gratifications and Interactive Theory. Educational Point. 2026;3(1):e161. https://doi.org/10.71176/edup/18793
AMA
Alfaleh RG. Behavioral Patterns of Arab Gen Z in Consuming AI-Assisted Media Content: A Mixed-Methods Investigation Integrating Uses and Gratifications and Interactive Theory. Educational Point. 2026;3(1), e161. https://doi.org/10.71176/edup/18793
Chicago
Alfaleh, Rakan Ghazi. "Behavioral Patterns of Arab Gen Z in Consuming AI-Assisted Media Content: A Mixed-Methods Investigation Integrating Uses and Gratifications and Interactive Theory". Educational Point 2026 3 no. 1 (2026): e161. https://doi.org/10.71176/edup/18793
MLA
Alfaleh, Rakan Ghazi "Behavioral Patterns of Arab Gen Z in Consuming AI-Assisted Media Content: A Mixed-Methods Investigation Integrating Uses and Gratifications and Interactive Theory". Educational Point, vol. 3, no. 1, 2026, e161. https://doi.org/10.71176/edup/18793

REFERENCES

  1. Alhashimi, N. (2020). Abracadabra: Gen Z uses of artificial intelligence voice recognition technology systems: A survey of undergraduate university students’ motives (Publication No. 27832773) [Master’s thesis, University of Louisiana at Lafayette]. ProQuest Dissertations & Theses Global. https://www.proquest.com/dissertations-theses/abracadabra-gen-z-uses-artificial-intelligence/docview/2550611655/se-2?accountid=17143
  2. Al-Zahrani, A. M., & Alasmari, T. M. (2024). Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications. Humanities and Social Sciences Communications, 11, Article 912. https://doi.org/10.1057/s41599-024-3432-4
  3. Arkhipova, D., & Janssen, M. (2024). AI recommendations’ impact on individual and social practices of Generation Z on social media: A comparative analysis between Estonia, Italy, and the Netherlands. Semiotica, 2024(261), 61–86. https://doi.org/10.1515/sem-2023-0089
  4. Bae, D. (2025). The mediating role of gratifications in gamified AI chatbot engagement: A stimulus–organism–response approach (Doctoral dissertation, University of South Carolina). https://www.proquest.com/openview/630e37a12788dd1f81b601d8a09f04db/1
  5. Bhatnagar, P., & Rajesh, A. (2025). Artificial intelligence features and expectation confirmation theory in digital banking apps: Gen Y and Z perspective. Management Decision, 63(10), 3642-3675. https://doi.org/10.1108/MD-07-2023-1145
  6. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
  7. Dunas, D. V., & Vartanov, S. A. (2020). Emerging digital media culture in Russia: Modeling the media consumption of Generation Z. Journal of Multicultural Discourses, 15(2), 186–203. https://doi.org/10.1080/17447143.2020.1751648
  8. Ebrahim, A. A. G., & Mosad, S. E. (2025). Artificial intelligence and digital media: A survey study of Bahraini youth preferences toward smart applications in social networks. New Media and Mass Communication, 107, 77-89. https://www.researchgate.net/profile/Enas-Sarg-2/publication/394267960_Artificial_Intelligence_and_Digital_Media_A_Survey_Study_of_Bahraini_Youth_Preferences_Toward_Smart_Applications_in_Social_Networks_2025/links/68906bb186911c11bfed407c/Artificial-Intelligence-and-Digital-Media-A-Survey-Study-of-Bahraini-Youth-Preferences-Toward-Smart-Applications-in-Social-Networks-2025.pdf
  9. Flecha-Ortiz, J. A., Feliberty-Lugo, V., Santos-Corrada, M., Lopez, E., & Dones, V. (2023). Hedonic and utilitarian gratifications to the use of TikTok by Generation Z and the parasocial relationships with influencers as a mediating force to purchase intention. Journal of Interactive Advertising, 23(2), 114–127. https://doi.org/10.1080/15252019.2023.2195403
  10. Gerasimova, A. (2024). Social media and Generation Z: A qualitative inquiry into usage patterns and motivations of women of older Gen Z [Master’s thesis, Malmö University]. DiVA Portal. https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-76479
  11. Jo, H. (2024). From concerns to benefits: A comprehensive study of ChatGPT usage in education. International Journal of Educational Technology in Higher Education, 21, Article 35. https://doi.org/10.1186/s41239-024-00471-4
  12. Kavitha, K., & Joshith, V. P. (2024). Factors shaping the adoption of AI tools among Gen Z: An extended UTAUT2 model investigation using CB-SEM. Bulletin of Science, Technology & Society, 44(1–2), 12-32. https://doi.org/10.1177/02704676241283362
  13. Kathuria, V. (2023). Gen Z’s engagement with the metaverse: Mediated role of symbolic gratification and desired enhancement of reality and moderated role of gender. Metamorphosis, 22(2), 133–145. https://doi.org/10.1177/09726225231218055
  14. Khanh Linh, C., Tung Lam, N., & Tram Anh, N. (2025). Motivating Gen Z to adopt AI chatbots for sustainable consumption on fashion e-commerce platforms: An integrated model [Bachelor’s thesis in Business Administration (Marketing Management), Jönköping University]. https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-68282
  15. Kim, W., & Cake, D. A. (2025). Gen Zers’ travel-related experiential consumption on social media: Integrative perspective of uses and gratifications theory and theory of reasoned action. Journal of International Consumer Marketing, 37(2), 89–116. https://doi.org/10.1080/08961530.2024.2353078
  16. Kolawole, D. T. O., Effiong, A. E., & Enang, U. U. (2025). Information-seeking habits and preferences of Gen Z and libraries’ impact. Alexandria. https://doi.org/10.1177/09557490251378742
  17. Kołodziej, I. A., & Borowska, M. (2024). The use of e-learning tools in training and the development of social-digital competences in the Generational Z group. Humanities and Social Sciences, 31(4), 173–190. https://doi.org/10.7862/rz.2024.hss.51
  18. Li, G.-H., Cheng, Y.-H., Hsiao, K.-L., & Lin, Y.-L. (2025). Understanding user behavior in AI-enhanced social media: Integrating uses and gratifications theory, social cognitive theory, and perceived coolness. SSRN. https://doi.org/10.2139/ssrn.5195381
  19. Liestia, M. N. (2023). Utilization of uses and gratifications in media use literature during the COVID-19 pandemic. Journal of Social Research, 2(8), 2608–2627. https://doi.org/10.55324/josr.v2i8.1299
  20. Lin, Z., & Ng, Y. L. (2025). Unraveling gratifications, concerns, and acceptance of generative artificial intelligence. International Journal of Human–Computer Interaction, 41(17), 10725–10742. https://doi.org/10.1080/10447318.2024.2436749
  21. Lisha, F. (2024). Reflection of Generation Z leisure practices in the audiovisual media discourse of China and Russia. (Doctoral dissertation, St. Petersburg State University).
  22. https://disser.spbu.ru/files/2024/disser_en_fu_lisha.pdf
  23. Mufeba, K. C. (2023). Exploring the perceptions of conversational artificial intelligence chatbots on online customer experience amongst Gen X & Y in South Africa (Master’s thesis, University of Johannesburg). https://www.proquest.com/openview/995010b698c35df428e94b6f60922d90/1
  24. Nguyen, T., & Nguyen, D. M. (2024). What will make Generation Y and Generation Z to continue to use online food delivery services: A uses and gratifications theory perspective. Journal of Hospitality Marketing & Management, 33(4), 415-442. https://doi.org/10.1080/19368623.2023.2277731
  25. Ni, N., Zaremohzzabieh, Z., Ahrari, S., Zarean, M., & Abdullah, R. (2025). Understanding the different generational motivations and adoption of AI in families: Integrating technology acceptance and uses and gratifications theory. Journal of Information Systems Engineering and Management, 10(26s), 357-369. https://doi.org/10.52783/jisem.v10i26s.4239
  26. Onjewu, A.-K. E., Godwin, E. S., Azizsafaei, F., & Appiah, D. (2025). The influence of technology use on learning skills among Generation Z: A gender and cross-country analysis. Industry and Higher Education, 39(2), 139-157. https://doi.org/10.1177/09504222241263227
  27. Parsons, S. (2024). Journalism through the eyes of Gen Z: How young audience members wish news was presented [Doctoral dissertation, The University of British Columbia].
  28. https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0441424
  29. Pu, L., Radics, R., Umar, M., Jeremiah, F., & Quan, Z. (2025). The potential of AI tools in shaping digital consumers’ behavior: Investigating e-commerce engagement of Chinese Generation Z. Asia Pacific Journal of Marketing and Logistics, 37(9), 2720–2737. https://doi.org/10.1108/APJML-08-2024-1048
  30. Qian, P., Zhao, S., Jiang, W., Wang, W., Tang, S., & Xie, X. (2026). Exploring the role of AI anchor image–news content congruency in news-viewing experience among Gen Zers: A mixed-method study in the Chinese context. International Journal of Human–Computer Interaction, 42(7), 4853-4881. https://doi.org/10.1080/10447318.2025.2542902
  31. Rojas, M. P., & Chiappe, A. (2024). Artificial intelligence and digital ecosystems in education: A review. Technology, Knowledge and Learning, 29, 2153-2170. https://doi.org/10.1007/s10758-024-09732-7
  32. Sardanelli, D., Ferrara, C., & Cerquetti, M. (2025). Clustering studies on cultural consumption in the digital society: A systematic literature review on Gen Y and Gen Z. Leisure Studies, 1–17. https://doi.org/10.1080/02614367.2025.2506398
  33. Xia, Q., Weng, X., Ouyang, F., Lin, T. J., & Chiu, T. K. (2024). A scoping review on how generative artificial intelligence transforms assessment in higher education. International Journal of Educational Technology in Higher Education, 21, Article 40. https://doi.org/10.1186/s41239-024-00468-z
  34. Xie, Y., Zhao, S., Zhou, P., & Liang, C. (2023). Understanding continued use intention of AI assistants. Journal of Computer Information Systems, 63(6), 1424–1437. https://doi.org/10.1080/08874417.2023.2167134
  35. Xie, C., Wang, Y., & Cheng, Y. (2024). Does artificial intelligence satisfy you? A meta-analysis of user gratification and user satisfaction with AI-powered chatbots. International Journal of Human–Computer Interaction, 40(3), 613–623. https://doi.org/10.1080/10447318.2022.2121458
  36. Yaman, D., & Çakın, Ö. (2021). Investigation of the relationship between influencers and Generation Z in the context of uses and gratifications theory. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 12(31), 955–971. https://doi.org/10.21076/vizyoner.883032

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