TY - JOUR T1 - Aldatıcı Tasarım Kalıplarının Tipolojisi Üzerine Bir İnceleme: Şikayetvar Platformunda Farklı Markalara İlişkin Kullanıcı Şikayetlerinin Betimsel Analizi TT - A Study on the Typology of Deceptive Design Patterns: A Descriptive Analysis of User Complaints Relating to Various Brands on the Şikayetvar Platform AU - Şenyüz, Bilge PY - 2025 DA - December Y2 - 2025 DO - 10.16878/gsuilet.1724701 JF - Galatasaray Üniversitesi İletişim Dergisi PB - Galatasaray Üniversitesi WT - DergiPark SN - 1305-2411 SP - 137 EP - 166 IS - 43 LA - tr AB - Aldatıcı tasarım kalıpları çevrimiçi platformlarda kullanıcıların karar alma süreçlerini etkileyerek onları manipüle eden tasarım örüntüleridir. Kullanıcıları belirli kararlar verip eylemler gerçekleştirmeleri için yönlendiren tasarım unsurlarıdır. Kullanım türüne ve bağlamına bağlı olarak değişen birçok aldatıcı tasarım türü olup; bu tasarım unsurları son yıllarda çeşitli ulusal ve uluslararası yasal mevzuatta yasa dışı olarak kabul edilmektedir. Bu kapsamda, bu araştırmada öncelikle literatürden hareketle aldatıcı tasarım kalıpları sınıflandırılarak tipolojisi çıkartılmıştır. Ardından arayüz algı kuramı bağlamında betimleyici durum analizi yöntemiyle Türkiye’de kullanıcı şikayetlerine yönelik bir platform olan Şikayetvar sitesinde farklı markaların kullandıkları aldatıcı tasarım unsurlarına ilişkin şikayetlerin izi sürülmüştür. Şikayetvar sitesinde bulunan farklı markalara yönelik kullanıcı şikayetleri üzerinden Türkiye’nin dijital ekosisteminde yer alan aldatıcı tasarım örüntülerine somut örnekler verilmiştir. Kullanıcıların kararlarının farklı aldatıcı tasarım kalıplarıyla yönlendirildiği saptanmıştır. Yalnızca içerik değil, tasarım temelli denetim mekanizmalarının da gerekli olduğu gözlenmiş; bu doğrultuda düzenleyici kurumlar, teknoloji/tasarım şirketleri ve tasarımda etiği önceleyen sivil toplum kuruluşlarının katkısına ihtiyaç duyulduğu değerlendirilmiştir. KW - Aldatıcı tasarım KW - karanlık tasarım KW - kullanıcı deneyimi KW - manipülasyon KW - etik KW - arayüz tasarımı N2 - Deceptive patterns are design models that manipulate users’ decision-making on online platforms. They guide choices and behaviors. Numerous forms exist, varying with context and purpose, and in recent years have been declared unlawful under several national and international regulations. The present study first classified deceptive design patterns identified in the literature to establish a typology. Within the framework of interface perception theory, a descriptive analysis was conducted using complaints from Şikayetvar, Türkiye’s main consumer complaint platform. Examples revealed how various brands employ deceptive elements, providing concrete cases from the Turkish digital ecosystem. Findings indicate that users’ decisions are significantly shaped by these patterns, underlining the need for regulatory mechanisms that address not only content but also design practices. It was concluded that regulators, technology and design companies, as well as civil society organizations emphasizing ethics should contribute to tackling deceptive design patterns. CR - Adorna, J. H., Dantis, A. J., Feria, R., Figueroa, L. L., & Solamo, R. (2024, February). Developing a Browser Extension for the Automated Detection of Deceptive Patterns in Cookie Banners. In Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023) (Vol. 20, p. 101). Springer Nature. CR - Alsheail, M. M., & Gerling, K. (2025). Gameplay or Gametrap? A Closer Look at Deceptive Patterns in Nintendo Switch Games Popular Among Children. CR - Bongard-Blanchy, K., Rossi, A., Rivas, S., Doublet, S., Koenig, V., & Lenzini, G. (2021, June). “I am Definitely Manipulated, Even When I am Aware of it. It’s Ridiculous!”-Dark Patterns from the End-User Perspective. In Proceedings of the 2021 ACM Designing Interactive Systems Conference (pp. 763-776). CR - Böcüoğlu Bodur, A. (10 Ağustos 2023). Anadolu Ajansı, "Karanlık ticari tasarımlar" Reklam Kurulunun radarına girdi, Erişim Tarihi: 14.06.2025, https://www.aa.com.tr/tr/ekonomi/karanlik-ticari-tasarimlar-reklam-kurulunun-radarina-girdi/2964843 CR - Böcüoğlu Bodur, A. (18 Mayıs 2025). Reklam Kurulu, yanıltıcı reklamlara 5 ayda yaklaşık 125,3 milyon lira ceza kesti, Anadolu Ajansı, Erişim Tarihi: 14.06.2025, https://www.aa.com.tr/tr/ekonomi/reklam-kurulu-yaniltici-reklamlara-5-ayda-yaklasik-125-3-milyon-lira-ceza-kesti/3572147 CR - Brignull, H. (2023). Deceptive patterns: Exposing the tricks tech companies use to control you. Testimonium Ltd. CR - Brignull, H. (2011). Dark patterns: Deception vs. Honesty in UI Design. Interaction Design, Usability, 338, 2-4. CR - Brignull, H., Leiser, M., Santos, C. & Doshi, K. (2010). Deceptive patterns: User interfaces designed to trick people. Erişim Tarihi: 24.08.2025, https://old.deceptive.design/main_page/index.html CR - CCPA (2023). Guidelines for Prevention and Regulation of Dark Patterns, 2023, Erişim Tarihi: 24.08.2025, https://www.taxtmi.com/article/detailed?id=14083&utm_source=chatgpt.com CR - California Privacy Rights Act (2022). Erişim Tarihi: 14.06.2025, https://cppa.ca.gov/meetings/materials/ 20220608_item3.pdf CR - Chen, Z., Shen, J., & Vaccaro, K. (2025). Hidden Darkness in LLM-Generated Designs: Exploring Dark Patterns in Ecommerce Web Components Generated by LLMs. arXiv preprint arXiv:2502.13499. CR - Contexte (2025). "Une consultation publique sur le Digital Fairness Act fleurira au printemps 2025”, Erişim Tarihi: 14.06.2025, https://www.contexte.com/fr/actualite/tech/une-consultation-publique-sur-le-digital-fairness-act-fleurira-au-printemps-2025_210438?go-back-to-briefitem=210438 CR - Curley, A., O'Sullivan, D., Gordon, D., Tierney, B., & Stavrakakis, I. (2021). The Design of a framework for the detection of web-based dark patterns. CR - Data Act Proposal (2022). Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on harmonised rules on fair access to and use of data (Data Act). https://eur- lex.europa.eu/legal- content/EN/TXT/?uri=COM%3A2022% 3A68%3AFIN CR - Di Geronimo, L., Braz, L., Fregnan, E., Palomba, F., & Bacchelli, A. (2020, April). UI dark patterns and where to find them: a study on mobile applications and user perception. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-14). CR - DSA-Digital Markets Act-Regulation (EU) 2022/1925 of the European Parliament and of the Council of 14 September 2022 on contestable and fair markets in the digital sector and amending Directives (EU) 2019/1937 and (EU) 2020/1828 (Digital Markets Act) (Text with EEA relevance). http://data.europa.eu/eli/reg/2022/ 1925/oj CR - Fay, J. (12 Temmuz 2024a). Elon Musk’s blue tick scheme for X may be a ‘dark pattern’, European Commission claims, Erişim Tarihi: 14.06.2025, https://www.thestack.technology/elon-musks-blue-tick-scheme-for-x-may-be-a-dark-pattern-european-commission-claims/ CR - Fay, J. (11 Temmuz 2024b). Most digital businesses now use ‘dark patterns’ to manipulate consumers, FTC warns, Erişim Tarihi: 14.06.2025, https://www.thestack.technology/dark-patterns-ftc/ CR - Fair Patterns (2025). About Fair Patterns. Erişim Tarihi: 21.08.205, https://fairpatterns.com/ CR - FTC (2022). Bringing Dark Patterns to Light: An FTC Staff Report. Washington, D.C.: Federal Trade Commission, Erişim Tarihi: 21.08.2025, https://www.ftc.gov/reports/bringing-dark-patterns-light CR - FTC (2024). FTC, ICPEN, GPEN Announce Results of Review of Use of Dark Patterns Affecting Subscription Services, Privacy, 10.07.2024, Erişim Tarihi: 14.08.2025, https://www.ftc.gov/news-events/news/press-releases/2024/07/ftc-icpen-gpen-announce-results-review-use-dark-patterns-affecting-subscription-services-privacy?ref=thestack.technology CR - Gray, C. M., Santos, C. T., Tong, N., Mildner, T., Rossi, A., Gunawan, J. T., & Sinders, C. (2023, April). Dark patterns and the emerging threats of deceptive design practices. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-4). CR - Greenberg, S., Boring, S., Vermeulen, J., & Dostal, J. (2014, June). Dark patterns in proxemic interactions: a critical perspective. In Proceedings of the 2014 conference on Designing interactive systems (pp. 523-532). CR - Hausner, P., & Gertz, M. (2021). Dark patterns in the interaction with cookie banners. arXiv preprint arXiv:2103.14956. CR - Hoffman, D. D., Singh, M., & Prakash, C. (2015). The interface theory of perception. Psychonomic bulletin & review, 22, 1480-1506. KFTC (22 Ağustos 2023). Issues Guidelines on Self-Management of Dark Patterns, Erişim Tarihi: 14.06.2025, https://www.kimchang.com/en/insights/detail.kc?sch_section=4&idx=27878 CR - Kim, H., Sefcik, J. S., & Bradway, C. (2017). Characteristics of qualitative descriptive studies: A systematic review. Research in nursing & health, 40(1), 23-42. CR - Lacey, C., & Caudwell, C. (2019, March). Cuteness as a ‘dark pattern’in home robots. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 374-381). IEEE. CR - LeBlanc, K. (4 Şubat 2025). Advancing Dark Pattern Reform for Consumer Protection, Information Today, Erişim Tarihi: 14.06.2025, https://newsbreaks.infotoday.com/NewsBreaks/Advancing-Dark-Pattern-Reform-for-Consumer-Protection-167615.asp?utm_source=chatgpt.com CR - Mamidwar, A., & Bhutkar, G. (2024). An Overview of Guidelines on Dark Patterns. CR - Mathur, A., Acar, G., Friedman, M. J., Lucherini, E., Mayer, J., Chetty, M., & Narayanan, A. (2019). Dark patterns at scale: Findings from a crawl of 11K shopping websites. Proceedings of the ACM on human-computer interaction, 3(CSCW), 1-32. CR - Mathur, A., Kshirsagar, M., & Mayer, J. (2021, May). What makes a dark pattern... dark? Design attributes, normative considerations, and measurement methods. In Proceedings of the 2021 CHI conference on human factors in computing systems (pp. 1-18). CR - Mildner, T., & Savino, G. L. (2021, May). Ethical user interfaces: Exploring the effects of dark patterns on facebook. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7). CR - Mills, S., & Whittle, R. (2023). Detecting Dark Patterns Using Generative AI: Some Preliminary Results. Available at SSRN 4614907. CR - Newall, P. (2025). Sludge, dark patterns and dark nudges: A taxonomy of on‐line gambling platforms' deceptive design features. Addiction, (pp.1-8). CR - Norberg, P. A., Horne, D. R., & Horne, D. A. (2007). The privacy paradox: Personal information disclosure intentions versus behaviors. Journal of consumer affairs, 41(1), 100-126. CR - OAIC (2024). GPEN Sweep finds majority of websites and mobile apps use deceptive design to influence privacy choices, Erişim Tarihi: 14.08.2025, https://www.oaic.gov.au/news/media-centre/gpen-sweep-finds-majority-of-websites-and-mobile-apps-use-deceptive-design-to-influence-privacy-choices CR - Ramirez, G. N., Spivack, J., & David-John, B. (2024, March). Deceptive Patterns and Perceptual Risks in an Eye-Tracked Virtual Reality. In 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 341-344). IEEE. CR - Ramteke, A., Tembhurne, S., Sonawane, G., & Bhimanpallewar, R. N. (2024). Detecting Deceptive Dark Patterns in E-commerce Platforms. arXiv preprint arXiv:2406.01608. CR - Ravenscraft, E. (29 Haziran 2020). “How to Spot-and Avoid Dark Patterns on the Web”, Wired, Erişim Tarihi: 14.06.2025, https://www.wired.com/story/how-to-spot-avoid-dark-patterns/ CR - Reid, H. (6 Haziran 2025). Reuters, Shein hit with complaint from EU consumer group over ‘dark patterns’, Erişim Tarihi: 14.06.2025, https://www.reuters.com/sustainability/shein-hit-with-complaint-eu-consumer-group-over-dark-patterns-2025-06-05/?utm_source=chatgpt.com CR - Sabancı, A. (7 Kasım 2024). “Platformların tasarımları kullanıcıları yanlış bilgiye karşı nasıl savunmasız kılıyor?”, Teyit, Erişim Tarihi: 14.06.2025, https://teyit.org/teyitpedia/platformlarin-tasarimlari-kulanicilari-yanlis-bilgiye-karsi-nasil-savunmasiz-kiliyor CR - Sharwood, S. (29 Mayıs 2025). “India none-too-subtly reminds Big Tech that local laws prohibit dark patterns”, The Register, Erişim Tarihi: 14.06.2025, https://www.theregister.com/2025/05/29/india_nonetoosubtly_reminds_big_tech/ CR - Shi, Z., Sun, R., Chen, J., Sun, J., Xue, M., Gao, Y., Liu, Feng & Yuan, X. (2025, April). 50 shades of deceptive patterns: A unified taxonomy, multimodal detection, and security implications. In Proceedings of the ACM on Web Conference 2025 (pp. 978-989). CR - Sikayetvar (2025). Erişim Tarihi: 14.06.2025, http://www.sikayetvar.com/ CR - Soe, T. H., Santos, C. T., & Slavkovik, M. (2022). Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other way. arXiv preprint arXiv:2204.11836 CR - Soe, T. H., Santos, C. T., & Slavkovik, M. (2022). Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other way. arXiv preprint arXiv:2204.11836. CR - Şahin, Z. (2 Mart 2024). “Kullanıcı deneyiminin karanlık yüzünü ayırt etme rehberi”, Erişim Tarihi: 14.06.2025, https://teyit.org/teyitpedia/kullanici-deneyiminin-karanlik-yuzunu-ayirt-etme-rehberi#:~:text=Kullan%C4%B1c%C4%B1%20deneyiminin%20karanl%C4%B1k%20y%C3%BCz%C3%BC%20kavram%C4%B1,%C3%B6zelliklerini%20tarif%20etmek%20i%C3%A7in%20kullan%C4%B1l%C4%B1yor CR - Toros, S. (2023). Deception and Internet Advertising: Tactics Used in Online Shopping Sites, Transnational Marketing Journal, 9(2), 409-426. CR - Türkiye Cumhuriyeti Ticaret Bakanlığı (2024). Ticaret Bakanlığı, Reklam Kurulu Abonelik Hizmetlerine İlişkin Tasarım Tuzaklarına Dikkat Çekiyor, https://ticaret.gov.tr/haberler/ticaret-bakanligi-reklam-kurulu-abonelik-hizmetlerine-iliskin-tasarim-tuzaklarina-dikkat-cekiyor, 23 Eylül 2025, Erişim Tarihi: 14.06.2025 CR - Wikipedia (2025). https://tr.wikipedia.org/wiki/%C5%9Eikayetvar CR - Yin, Robert K. (2017). Case study research and applications: Design and methods. Sage publications. CR - Zagal, J. P., Björk, S., & Lewis, C. (2013). Dark patterns in the design of games. In Foundations of Digital Games 2013. UR - https://doi.org/10.16878/gsuilet.1724701 L1 - https://dergipark.org.tr/tr/download/article-file/4980670 ER -