Speaker
Description
This study examined public perception of artificial intelligence across Türkiye using open-access data from the 2024 Turkish General Social Survey (TGSS). To this end, the increasing role of artificial intelligence in every field was addressed, and studies on artificial intelligence perception across the country were reviewed. In this context, the analysis and presentation of the data used with a large sample distinguishes the study from other studies. The study then provides information about the participants, dependent, and independent variables, utilizing the TGSS platform and the Veri Analiz Okulu (Data Analysis School) lecture notes where the data is shared. To evaluate the results, firstly frequency and percentage distributions were analyzed, then variance analysis, chi-square analysis, t-test, post hoc, and Tukey tests were conducted to examine how perceptions of artificial intelligence varied across independent variables and whether significant differences emerged. Based on the results, the general trend in perceptions of artificial intelligence and its differences across independent variables were interpreted. Accordingly, significant differences in perceptions of artificial intelligence were observed across demographic variables. Finally, the study's similarities and differences with other studies in the literature, as well as its limitations and strengths, are discussed.
| Keywords | Artificial Intelligence, Perception, Statistical Analysis, TGSS |
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