Journals / Kültür ve İletişim / 2026 / Cilt: 29 Sayı: 58

The Multidimensional Relationship Between Algorithmic Media Content Awareness and Artificial Intelligence Literacy: A Study on University Students

Algoritmik Medya İçeriği Farkındalığı ile Yapay Zekâ Okuryazarlığı Arasındaki Çok Boyutlu İlişki: Üniversite Öğrencilerine Yönelik Bir Araştırma

Ersen Fazıl Çöllü(SELCUK UNIVERSITY, KONYA VOCATIONAL SCHOOL)0000-0001-5871-4928
Pages
635–658
Publication Date
2026-09-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings indicate a positive and moderate significant relationship between algorithmic awareness and artificial intelligence literacy (r = .464, p < .001).

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to examine the relationship between university students’ algorithmic content awareness and artificial intelligence literacy levels, and to reveal the interaction pattern between these two competency domains.
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Key Findings & Data:Data were collected from 534 students enrolled at Selçuk University through a structured questionnaire.
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Conclusion & Impact:The findings indicate a positive and moderate significant relationship between algorithmic awareness and artificial intelligence literacy (r = .464, p < .001).
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Algoritmik farkındalık · yapay zekâ okuryazarlığı · algoritmik içerik

Abstract

This study aims to examine the relationship between university students’ algorithmic content awareness and artificial intelligence literacy levels, and to reveal the interaction pattern between these two competency domains. As algorithmic systems increasingly shape how individuals access information, users’ ability to understand and critically evaluate these systems has become essential. In this context, the study highlights the role of cognitive awareness beyond mere technological exposure. The study was conducted using a correlational survey design, a quantitative research method. Data were collected from 534 students enrolled at Selçuk University through a structured questionnaire. The dataset was filtered based on missing data, straight-lining responses (longstring bias), and inconsistent response patterns in reverse-coded items. Structural Equation Modeling (SEM), mediation analysis, and canonical correlation analysis were employed in the data analysis process. The findings indicate a positive and moderate significant relationship between algorithmic awareness and artificial intelligence literacy (r = .464, p < .001). Structural model results show that algorithmic awareness significantly predicts artificial intelligence literacy (β = .47, p < .001). Canonical correlation analysis revealed a moderate level of shared variance between the two variable sets (Rc = .473; Rc² = .224). However, social media usage time did not have a significant indirect effect on artificial intelligence literacy through algorithmic awareness (ab = .025, p = .244). The results suggest that technological exposure alone is not sufficient; rather, artificial intelligence literacy develops through cognitive processes associated with critical awareness of algorithmic systems.

Özet

Bu araştırma, üniversite öğrencilerinin algoritmik içerik farkındalığı ile yapay zekâ okuryazarlığı düzeyleri arasındaki ilişkiyi incelemeyi ve bu iki yetkinlik alanı arasındaki etkileşim örüntüsünü ortaya koymayı amaçlamaktadır. Günümüzde algoritmik sistemlerin bireylerin bilgiye erişim biçimlerini şekillendirmesi, kullanıcıların bu sistemleri anlama ve sorgulama becerilerini kritik hale getirmektedir. Bu bağlamda çalışma, teknolojik maruziyetin ötesinde bilişsel farkındalığın rolünü tartışmaya açmaktadır. Nicel araştırma yöntemlerinden ilişkisel tarama deseni kullanılarak yürütülen çalışmada veriler, Selçuk Üniversitesinde öğrenim gören 534 öğrenciden anket yoluyla toplanmıştır. Veri seti, eksik veri, tekdüze yanıt (longstring) ve ters maddelerle tutarsız yanıt örüntülerine göre filtrelenmiştir. Analizlerde Yapısal Eşitlik Modeli (SEM), aracılık analizi ve kanonik korelasyon analizi kullanılmıştır. Bulgular, algoritmik farkındalık ile yapay zekâ okuryazarlığı arasında pozitif yönlü ve orta düzeyde anlamlı bir ilişki olduğunu göstermektedir (r = .464, p < .001). Yapısal model sonuçları, algoritmik farkındalığın yapay zekâ okuryazarlığını anlamlı biçimde yordadığını ortaya koymuştur (β = .47, p < .001). Kanonik korelasyon analizi, iki değişken seti arasında orta düzeyde ortak varyans bulunduğunu göstermiştir (Rc = .473; Rc² = .224). Buna karşılık, sosyal medya kullanım süresinin algoritmik farkındalık aracılığıyla yapay zekâ okuryazarlığı üzerinde anlamlı bir dolaylı etkisi bulunmamıştır (ab = .025, p = .244). Sonuçlar, teknolojik maruziyetin tek başına yeterli olmadığını; yapay zekâ okuryazarlığının, algoritmik sistemlere yönelik eleştirel farkındalıkla ilişkili bilişsel süreçler üzerinden geliştiğini göstermektedir.

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Cite This Article

Çöllü, E. F. (2026). The Multidimensional Relationship Between Algorithmic Media Content Awareness and Artificial Intelligence Literacy: A Study on University Students. Kültür ve İletişim, Cilt: 29 Sayı: 58, 635–658. https://doi.org/10.18691/kulturveiletisim.1929005

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References (35)

  1. Arduç Kara, Emine (2025). “Yükseköğretim öğrencilerinin yapay zekâ okuryazarlığının ölçümlenmesi: İletişim fakültesi örneği.” İNİF E-Dergi, 10(2): 664–684. https://doi.org/10.47107/inifedergi.1736535
  2. Bandura, Albert (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall.
  3. Bawden, David (2008). “Origins and Concepts of Digital Literacy.” In Colin Lankshear and Michele Knobel (eds.), Digital Literacies: Concepts, Policies and Practices. New York: Peter Lang. 17–32.
  4. Büyüköztürk, Şener, et al. (2020). Bilimsel Araştırma Yöntemleri. 27th ed. Ankara: Pegem Akademi.
  5. Çelebi, Celalettin, et al. (2023). “Artificial Intelligence Literacy: An Adaptation Study.” Instructional Technology and Lifelong Learning, 4(2): 291–306. https://doi.org/10.52911/itall.1401740
  6. Chung, Myojung (2025). “When Knowing More Means Doing Less: Algorithmic Knowledge and Digital (Dis)engagement Among Young Adults.” Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-186
  7. Cotter, Kelley and Bianca C. Reisdorf (2020). “Algorithmic Knowledge Gaps: A New Horizon of (Digital) Inequality.” International Journal of Communication, 14: 745–765.
  8. Creely, Edwin (2024). “Exploring the Role of Generative AI in Enhancing Language Learning: Opportunities and Challenges.” International Journal of Changes in Education, 1(3): 158–167. https://doi.org/10.47852/bonviewijce42022495
  9. Dağaşan, Adem (2025). “Dijital okuryazarlık ile yapay zekâ okuryazarlığı arasındaki ilişkide bilgi ve iletişim teknolojilerine yönelik tutumun aracı rolü.” Uluslararası Türkçe Edebiyat Kültür Eğitim Dergisi, 14(1): 238–251. https://doi.org/10.7884/teke.1628023
  10. Dwivedi, Yogesh K., et al. (2021). “Setting the Future of Digital and Social Media Marketing Research: Perspectives and Theoretical Propositions.” International Journal of Information Management, 59: 102350. https://doi.org/10.1016/j.ijinfomgt.2020.102350
  11. Felaco, Cristiano (2025). “Making Sense of Algorithm: Exploring TikTok Users’ Awareness of Content Recommendation and Moderation Algorithms.” International Journal of Communication, 19: 1081-1102.
  12. Fouquaert, Thibault and Peter Mechant (2022). “Making Curation Algorithms Apparent: A Case Study of ‘Instawareness’ as a Means to Heighten Awareness and Understanding of Instagram’s Algorithm.” Information, Communication & Society, 25(12): 1769–1789. https://doi.org/10.1080/1369118X.2021.1883707
  13. Fornell, Claes and David F. Larcker (1981). “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.” Journal of Marketing Research, 18(1): 39–50. https://doi.org/10.1177/002224378101800104
  14. Gillespie, Tarleton (2014). “The Relevance of Algorithms.” In Tarleton Gillespie, Pablo J. Boczkowski, and Kirsten A. Foot (eds.), Media Technologies: Essays on Communication, Materiality, and Society. Cambridge, MA: MIT Press. 167–194.
  15. Gönenç, Özgür (2018). Medyada Algı Yönetimi. İstanbul: Der Yayınları.
  16. Henseler, Jörg, et al. (2015). “A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling.” Journal of the Academy of Marketing Science, 43(1): 115–135. https://doi.org/10.1007/s11747-014-0403-8
  17. Karasar, Niyazi (2012). Bilimsel Araştırma Yöntemi. 24th ed. Ankara: Nobel Yayıncılık.
  18. Karakoç Keskin, Elif and Ege Simge Demirel (2025). “Algoritmik medya içeriği farkındalık ölçeğinin (AMCA-scale) Türkçe uyarlaması ve ölçek faktörleri arasındaki ilişkilerin analizi.” Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 48: 236–256. https://doi.org/10.31123/akil.1628894
  19. Khulwa, Cinta Attaya, et al. (2025). “Algorithm Awareness and User Motivation as Predictors of TikTok Engagement Among Generation Z in South Jakarta.” Asian Journal for Public Opinion Research, 13(4): 400–422. https://doi.org/10.15206/AJPOR.2025.13.4.400
  20. Kline, Rex B. (2023). Principles and Practice of Structural Equation Modeling. 5th ed. New York: Guilford Press.
  21. Long, Duri and Brian Magerko (2020). “What Is AI Literacy? Competencies and Design Considerations.” Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery. 1–16. https://doi.org/10.1145/3313831.3376727
  22. Ng, Davy Tsz Kit, et al. (2021). “Conceptualizing AI Literacy: An Exploratory Review.” Computers and Education: Artificial Intelligence, 2: 100041. https://doi.org/10.1016/j.caeai.2021.100041
  23. Oğan, Ela (2025). “Üniversite öğrencilerinin yapay zekâ okuryazarlığı üzerine bir araştırma.” Üçüncü Sektör Sosyal Ekonomi Dergisi, 60(3): 2670–2686. https://doi.org/10.63556/tisej.2025.1565
  24. Pasquale, Frank (2015). The Black Box Society: The Secret Algorithms That Control Money and Information. Cambridge, MA: Harvard University Press.
  25. Paul, Justin, et al. (2024). “Digital Transformation: A Multidisciplinary Perspective and Future Research Agenda.” International Journal of Consumer Studies, 48(2): e13015. https://doi.org/10.1111/ijcs.13015
  26. Podsakoff, Philip M., et al. (2003). “Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies.” Journal of Applied Psychology, 88(5): 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  27. Prensky, Marc (2001). “Digital Natives, Digital Immigrants Part 1.” On the Horizon, 9(5): 1–6. https://doi.org/10.1108/10748120110424816
  28. Selwyn, Neil (2019). What Is Digital Sociology? Cambridge: Polity Press.
  29. Treré, Emiliano (2016). “The Dark Side of Digital Politics: Understanding the Algorithmic Manufacturing of Consent and the Hindering of Online Dissidence.” IDS Bulletin, 47(1): 127–138. https://doi.org/10.19088/1968-2016.111
  30. UNESCO (2025). Empowering Learners for the Age of AI: AI Literacy Framework. https://ailiteracyframework.org/wp-content/uploads/2025/05/AILitFramework_ReviewDraft.pdf. Accessed 24 June 2026.
  31. Wang, Bingcheng, et al. (2022). “Measuring User Competence in Using Artificial Intelligence: Validity and Reliability of Artificial Intelligence Literacy Scale.” Behaviour & Information Technology, 42(9): 1324–1337. https://doi.org/10.1080/0144929X.2022.2072768
  32. Yasan Ak, Nehir and Tuğba Kamalı Arslantaş (2024). “Psychometric Properties of the Turkish Version of the Algorithmic Media Content Awareness (AMCA) Scale.” Instructional Technology and Lifelong Learning, 5(1): 171–191. https://doi.org/10.52911/itall.1447270
  33. Yükseköğretim Kurulu (2024). Yükseköğretimde Yapay Zekâ Kullanımına Dair Etik Rehber. https://proje.yok.gov.tr/tr/page/635. Accessed 24 June 2026.
  34. Zarouali, Brahim, et al. (2021). “Is This Recommended by an Algorithm? The Development and Validation of the Algorithmic Media Content Awareness Scale (AMCA-Scale).” Telematics and Informatics, 62: 101607. https://doi.org/10.1016/j.tele.2021.101607
  35. Zuboff, Shoshana (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs.