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Examines shifts in privacy attitudes in university students using Instagram, suggesting gender and age influences.
This study examines university students’ attitudes toward Instagram and transformations in privacy norms, and as well as with sociodemographic characteristics. In the study, a literature review was conducted, and the Instagram and “Privacy Transformation Scale” prepared by Kalaman was applied to volunteer participants with permission from the researcher. Statistical analyses were performed using the IBM SPSS Statistics 26 program. As a result of the study, the Kolmogorov–Smirnov test showed that the numerical variables were approximately normally distributed, so parametric tests were applied in the study. Descriptive statistics (frequencies, percentages, means, and standard deviations) were computed for participant demographic variables. Results indicated that male students exhibited higher levels of awareness regarding Instagram-related privacy transformations compared to female students. Participants aged 18–20 had lower mean privacy-transformation scores than older age groups. A high proportion of respondents reported sharing personal information (e.g., date of birth, place of residence, educational status, relationship status, occupation, and hometown) on Instagram.
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YOLCU et al. (2026) studied this question.
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