Data for: Dark Patterns in Interface Design — A Quantitative Investigation with a Multi-Regional Sample from Türkiye

This dataset supports the article "Dark Patterns in Interface Design: A Quantitative Investigation with a Multi-Regional Sample from Türkiye." Contents:(1) dark_patterns_data.csv — anonymised participant-level dataset (UTF-8, comma-separated, 405 rows);(2) dark_patterns_data.sav — the same dataset in SPSS format;(3) codebook_corrected.md — definitions, response scales, and coding for every variable, including instructions for reproducing the reported statistics;(4) survey_instrument_TR — the survey instrument as administered, in Turkish;(5) survey_instrument_EN.docx — English translation of the instrument; (6) figures_zip. Study design:Cross-sectional online survey of internet users in Türkiye (N = 405), recruited via non-probability online sampling. The instrument was administered in Turkish. Participants viewed visual stimuli representing eight common dark pattern types (best-seller/popularity claims, countdown timers, user reviews, high-demand messages, preselection defaults, low-stock messages, emotional pressure, and visual interference) across six media environments (mobile applications, websites, social media, e-mail, television, print). For each pattern, three variables were recorded on five-point ordinal scales: encounter frequency, perceived accuracy of the information the pattern conveys, and perceived influence of the pattern on the participant's own decisions. Demographic variables comprise age group, gender, education level, region of residence, income, and online shopping frequency. Anonymisation:No direct identifiers were collected. Province of residence (56 levels) has been aggregated to NUTS-1 regional level (12 levels) prior to deposit, as 22 provinces had a single respondent. Exact age has been replaced by four age bands. Occupation (46 categories) has been aggregated to 12 groups. No free-text responses, timestamps, or technical metadata are included. Ethics:Approved by the Çukurova University Scientific Research and Publication Ethics Committee for the Social Sciences and Humanities (approval number: 1, dated 06.04.2023). All participants provided informed consent. Licence: CC BY 4.0