Dark Patterns in E-Commerce Platforms: An International Analysis of Temu.com
Gordion Sosyal Bilimler Dergisi, cilt.1, sa.2, ss.66-84, 2026 (Hakemli Dergi)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 1 Sayı: 2
- Basım Tarihi: 2026
- Dergi Adı: Gordion Sosyal Bilimler Dergisi
- Derginin Tarandığı İndeksler: Index Copernicus
- Sayfa Sayıları: ss.66-84
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Bilecik Şeyh Edebali Üniversitesi Adresli: Evet
Özet
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 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.