Araştırma Makalesi
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Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com

Yıl 2026, Cilt: 1 Sayı: 2, 66 - 84, 17.01.2026

Öz

Manipulative interface designs known as dark patterns have become an increasing source of concern in digital commerce due to their ability to influence users’ decisions without their awareness. This study examines the dark patterns used on the Temu.com platform from a cross-national perspective. The research is based on 1,964 one- and two-star user reviews user reviews collected from Trustpilot across 68 different countries during August 2025. The data were obtained using a web scraping method implemented with the Python programming language and the Selenium library. Within the scope of a quantitative content analysis that combines semi-automated keyword screening, manual coding, and statistical analyses, the study focuses on the 20 countries with the highest number of reviews (n = 1,826). The findings indicate that there are pronounced differences between countries in terms of both the prevalence and the distribution of dark pattern types. It is observed that Anglo-Saxon markets, comprising the United Kingdom, the United States, Canada, Australia, and Ireland, have significantly higher dark pattern ratios compared to Continental European countries, pointing to the influence of cultural and regulatory contexts. While misdirection emerges as the most frequently encountered dark pattern type, country-specific tendencies stand out, such as gamification in the United States and confirmshaming in Spain. Complaints that do not involve dark patterns mainly concentrate on operational issues such as delivery, refund processes, and customer service. While statistical analyses reveal significant differences between countries, no significant relationship is identified between the number of reviews and the prevalence of dark patterns.

Etik Beyan

This study was conducted using secondary data obtained from publicly accessible sources. All data analyzed in the research consist of anonymized user reviews voluntarily shared by users on the Trustpilot platform and do not include any personally identifiable information. No direct interaction with individual users was involved, no personal data were collected, and no experimental procedures were conducted on human subjects. Therefore, ethical committee approval was not required for this study. Throughout the research process, principles of data privacy, anonymity, and ethical research conduct were strictly observed.

Kaynakça

  • Brignull, H. (2010). Dark patterns: Deception vs. honesty in UI design. https://www.deceptive.design/
  • Branco, F., Sun, M., & Villas-Boas, J. M. (2015). Incentives in online platforms: Implications for platform design and user behavior. Management Science, 61(1), 109–123. https://doi.org/10.1287/mnsc.2014.2049
  • Chiang, K. P., Dholakia, R. R., & Westin, S. M. (2005). Changing consumer behavior in cyberspace: The case of online music. Journal of Business Research, 58(11), 1559–1569. https://doi.org/10.1016/j.jbusres.2004.09.003
  • Consumer Reports. (2023). Temu: A deep dive into data privacy and security concerns. https://www.consumerreports.org/
  • Di Geronimo, L., Braz, L., Fregnan, E., Palomba, F., & Bacchelli, A. (2020). 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). https://doi.org/10.1145/3313831.3376600
  • Erdem, Ö. (2024). Manipulative design in e-commerce: A cross-cultural analysis of dark patterns (Unpublished doctoral dissertation). Çukurova University.
  • European Consumer Organisation. (2023). Complaint against Temu for manipulative practices and unfair UX. https://www.beuc.eu/
  • Federal Trade Commission. (2022, September 15). FTC report shows rise in sophisticated dark patterns designed to trick and trap consumers. https://www.ftc.gov/news-events/news/press-releases/2022/09/ftc-report-shows-rise-sophisticated-dark-patterns-designed-trick-trap-consumers
  • Gray, C. M., Kou, Y., Battles, B., Hoggatt, J., & Toombs, A. L. (2018). The dark (patterns) side of UX design. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Paper 534, pp. 1–14). https://doi.org/10.1145/3173574.3174108
  • Gunawan, J., Pradeep, A., Choffnes, D., Hartzog, W., & Wilson, C. (2021). A comparative study of dark patterns across web and mobile modalities. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1–29. https://doi.org/10.1145/3479516
  • Hamilton, K., Karahalios, K., Sandvig, C., & Eslami, M. (2022). The limits of the platform walk: User agency and the tactical curation of online reviews. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1–28. https://doi.org/10.1145/3512933
  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (3rd ed.). McGraw-Hill.
  • Klein, L. R., & Ford, G. T. (2003). Consumer search for information in the digital age: An empirical study of pre-purchase search for automobiles. Journal of Interactive Marketing, 17(3), 29–49. https://doi.org/10.1002/dir.10058
  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
  • Luguri, J., & Strahilevitz, L. J. (2021). Shining a light on dark patterns. Journal of Legal Analysis, 13, 43–109. https://doi.org/10.1093/jla/laaa006
  • 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. https://doi.org/10.1145/3359183
  • Mathur, A., Kshirsagar, M., & Mayer, J. (2021). 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 (Paper 360, pp. 1–18). https://doi.org/10.1145/3411764.3445610
  • Moser, C., Schoenebeck, S. Y., & Resnick, P. (2019). Impulse buying: Design practices and consumer needs. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Paper 246, pp. 1–15). https://doi.org/10.1145/3290605.3300472
  • Narayanan, A., Mathur, A., Chetty, M., & Kshirsagar, M. (2020). Dark patterns: Past, present, and future. Communications of the ACM, 63(9), 42–47. https://doi.org/10.1145/3397884
  • Nouwens, M., Liccardi, I., Veale, M., Karger, D., & Kagal, L. (2020). Dark patterns after the GDPR: Scraping consent pop-ups and demonstrating their influence. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–13). https://doi.org/10.1145/3313831.3376321
  • Porter, M. E. (2001). Strategy and the Internet. Harvard Business Review, 79(3), 62–78. https://hbr.org/2001/03/strategy-and-the-internet
  • Selenium. (2023). Selenium WebDriver. https://www.selenium.dev/
  • Smith, D. N., & Sivakumar, K. (2004). Flow and Internet shopping behavior: A conceptual model and research propositions. Journal of Business Research, 57(10), 1199–1208. https://doi.org/10.1016/S0148-2963(02)00330-2
  • Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). SAGE Publications.
  • Stibe, A., & Cugelman, B. (2022). Persuasive technology: Development of consensus-based design patterns. Manuscript submitted for publication.
  • Trustpilot. (2023). About Trustpilot. https://www.trustpilot.com/about
  • Wenzel, M. (2023). Regulating dark patterns: A comparative analysis of European and U.S. approaches (SSRN Scholarly Paper No. 4321090). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4321090

Ticaret Platformlarında Karanlık Örüntüler: Temu.com’un Uluslararası Bir Analizi

Yıl 2026, Cilt: 1 Sayı: 2, 66 - 84, 17.01.2026

Öz

Karanlık örüntüler olarak bilinen manipülatif arayüz tasarımları, kullanıcıların farkında olmadan kararlarını etkileyebilme yetenekleri nedeniyle dijital ticarette giderek artan bir endişe kaynağı hâline gelmiştir. Bu çalışma, Temu.com platformunda kullanılan karanlık örüntüleri ülkeler arası bir perspektiften incelemektedir. Araştırma, Ağustos 2025 döneminde Trustpilot platformu üzerinden 68 farklı ülkeden toplanan 1.964 adet bir ve iki yıldızlı kullanıcı yorumuna dayanmaktadır. Veriler, Python programlama dili ve Selenium kütüphanesi kullanılarak uygulanan web kazıma (web scraping) yöntemiyle elde edilmiştir. Yarı otomatik anahtar kelime taraması, manuel kodlama ve istatistiksel analizleri bir araya getiren nicel içerik analizi kapsamında, en fazla yoruma sahip 20 ülkeye odaklanılmıştır (n = 1.826). Bulgular, karanlık örüntülerin hem yaygınlığı hem de tür dağılımı açısından ülkeler arasında belirgin farklılıklar bulunduğunu göstermektedir. Birleşik Krallık, Amerika Birleşik Devletleri, Kanada, Avustralya ve İrlanda’dan oluşan Anglo-Sakson pazarların, Kıta Avrupası ülkelerine kıyasla anlamlı ölçüde daha yüksek karanlık örüntü oranlarına sahip olduğu görülmektedir; bu durum kültürel ve düzenleyici bağlamların etkisine işaret etmektedir. Yönlendirme (misdirection) en sık karşılaşılan karanlık örüntü türü olarak öne çıkarken, Amerika Birleşik Devletleri’nde oyunlaştırma, İspanya’da ise confirmshaming gibi ülkeye özgü eğilimler dikkat çekmektedir. Karanlık örüntü içermeyen kullanıcı şikâyetleri ise ağırlıklı olarak teslimat, iade süreçleri ve müşteri hizmetleri gibi operasyonel konular etrafında yoğunlaşmaktadır. İstatistiksel analizler ülkeler arasında anlamlı farklılıklar bulunduğunu ortaya koyarken, yorum sayısı ile karanlık örüntü yaygınlığı arasında anlamlı bir ilişki saptanmamıştır.

Etik Beyan

Bu çalışma, kamuya açık olarak erişilebilen ikincil veriler kullanılarak yürütülmüştür. Araştırma kapsamında kullanılan tüm veriler, Trustpilot platformunda kullanıcılar tarafından gönüllü olarak paylaşılmış, kişisel kimlik bilgileri içermeyen ve anonim nitelikteki kullanıcı yorumlarından oluşmaktadır. Çalışmada herhangi bir bireysel kullanıcıyla doğrudan etkileşime girilmemiş, kişisel veri toplanmamış ve insan denekler üzerinde deneysel bir uygulama gerçekleştirilmemiştir. Bu nedenle, araştırma etik kurul onayı gerektirmemektedir. Araştırma süreci boyunca veri gizliliği, anonimlik ve etik araştırma ilkelerine titizlikle uyulmuştur.

Kaynakça

  • Brignull, H. (2010). Dark patterns: Deception vs. honesty in UI design. https://www.deceptive.design/
  • Branco, F., Sun, M., & Villas-Boas, J. M. (2015). Incentives in online platforms: Implications for platform design and user behavior. Management Science, 61(1), 109–123. https://doi.org/10.1287/mnsc.2014.2049
  • Chiang, K. P., Dholakia, R. R., & Westin, S. M. (2005). Changing consumer behavior in cyberspace: The case of online music. Journal of Business Research, 58(11), 1559–1569. https://doi.org/10.1016/j.jbusres.2004.09.003
  • Consumer Reports. (2023). Temu: A deep dive into data privacy and security concerns. https://www.consumerreports.org/
  • Di Geronimo, L., Braz, L., Fregnan, E., Palomba, F., & Bacchelli, A. (2020). 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). https://doi.org/10.1145/3313831.3376600
  • Erdem, Ö. (2024). Manipulative design in e-commerce: A cross-cultural analysis of dark patterns (Unpublished doctoral dissertation). Çukurova University.
  • European Consumer Organisation. (2023). Complaint against Temu for manipulative practices and unfair UX. https://www.beuc.eu/
  • Federal Trade Commission. (2022, September 15). FTC report shows rise in sophisticated dark patterns designed to trick and trap consumers. https://www.ftc.gov/news-events/news/press-releases/2022/09/ftc-report-shows-rise-sophisticated-dark-patterns-designed-trick-trap-consumers
  • Gray, C. M., Kou, Y., Battles, B., Hoggatt, J., & Toombs, A. L. (2018). The dark (patterns) side of UX design. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Paper 534, pp. 1–14). https://doi.org/10.1145/3173574.3174108
  • Gunawan, J., Pradeep, A., Choffnes, D., Hartzog, W., & Wilson, C. (2021). A comparative study of dark patterns across web and mobile modalities. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1–29. https://doi.org/10.1145/3479516
  • Hamilton, K., Karahalios, K., Sandvig, C., & Eslami, M. (2022). The limits of the platform walk: User agency and the tactical curation of online reviews. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1–28. https://doi.org/10.1145/3512933
  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (3rd ed.). McGraw-Hill.
  • Klein, L. R., & Ford, G. T. (2003). Consumer search for information in the digital age: An empirical study of pre-purchase search for automobiles. Journal of Interactive Marketing, 17(3), 29–49. https://doi.org/10.1002/dir.10058
  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
  • Luguri, J., & Strahilevitz, L. J. (2021). Shining a light on dark patterns. Journal of Legal Analysis, 13, 43–109. https://doi.org/10.1093/jla/laaa006
  • 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. https://doi.org/10.1145/3359183
  • Mathur, A., Kshirsagar, M., & Mayer, J. (2021). 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 (Paper 360, pp. 1–18). https://doi.org/10.1145/3411764.3445610
  • Moser, C., Schoenebeck, S. Y., & Resnick, P. (2019). Impulse buying: Design practices and consumer needs. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Paper 246, pp. 1–15). https://doi.org/10.1145/3290605.3300472
  • Narayanan, A., Mathur, A., Chetty, M., & Kshirsagar, M. (2020). Dark patterns: Past, present, and future. Communications of the ACM, 63(9), 42–47. https://doi.org/10.1145/3397884
  • Nouwens, M., Liccardi, I., Veale, M., Karger, D., & Kagal, L. (2020). Dark patterns after the GDPR: Scraping consent pop-ups and demonstrating their influence. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–13). https://doi.org/10.1145/3313831.3376321
  • Porter, M. E. (2001). Strategy and the Internet. Harvard Business Review, 79(3), 62–78. https://hbr.org/2001/03/strategy-and-the-internet
  • Selenium. (2023). Selenium WebDriver. https://www.selenium.dev/
  • Smith, D. N., & Sivakumar, K. (2004). Flow and Internet shopping behavior: A conceptual model and research propositions. Journal of Business Research, 57(10), 1199–1208. https://doi.org/10.1016/S0148-2963(02)00330-2
  • Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). SAGE Publications.
  • Stibe, A., & Cugelman, B. (2022). Persuasive technology: Development of consensus-based design patterns. Manuscript submitted for publication.
  • Trustpilot. (2023). About Trustpilot. https://www.trustpilot.com/about
  • Wenzel, M. (2023). Regulating dark patterns: A comparative analysis of European and U.S. approaches (SSRN Scholarly Paper No. 4321090). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4321090
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İletişim Teknolojisi ve Dijital Medya Çalışmaları, Sosyal Medya Çalışmaları
Bölüm Araştırma Makalesi
Yazarlar

Ömer Erdem 0000-0002-6823-1548

Gönderilme Tarihi 26 Aralık 2025
Kabul Tarihi 7 Ocak 2026
Yayımlanma Tarihi 17 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Cilt: 1 Sayı: 2

Kaynak Göster

APA Erdem, Ö. (2026). Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com. Gordion Sosyal Bilimler Dergisi, 1(2), 66-84.
AMA Erdem Ö. Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com. Gordion Sosyal Bilimler Dergisi. Ocak 2026;1(2):66-84.
Chicago Erdem, Ömer. “Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com”. Gordion Sosyal Bilimler Dergisi 1, sy. 2 (Ocak 2026): 66-84.
EndNote Erdem Ö (01 Ocak 2026) Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com. Gordion Sosyal Bilimler Dergisi 1 2 66–84.
IEEE Ö. Erdem, “Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com”, Gordion Sosyal Bilimler Dergisi, c. 1, sy. 2, ss. 66–84, 2026.
ISNAD Erdem, Ömer. “Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com”. Gordion Sosyal Bilimler Dergisi 1/2 (Ocak2026), 66-84.
JAMA Erdem Ö. Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com. Gordion Sosyal Bilimler Dergisi. 2026;1:66–84.
MLA Erdem, Ömer. “Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com”. Gordion Sosyal Bilimler Dergisi, c. 1, sy. 2, 2026, ss. 66-84.
Vancouver Erdem Ö. Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com. Gordion Sosyal Bilimler Dergisi. 2026;1(2):66-84.