| Paper Title |
Sociological Analysis of Violence against Women in Turkish Society (With the Help of Artificial Intelligence) |
| Author(s) | Bora Candan, Onur Yıldırım, Özgür Aydemir. |
| Country | Turkey |
| Abstract |
The study discusses the effects of the concept of violence against women in Turkish TV series on Turkish society and culture. By using diverse artificial intelligence algorithms created with the help of expert opinions, the rate of the presence of violence against women in the most-viewed episodes has been decided and conclusions have been made. Beginning with the conceptual definition of violence, the theme of violence against women in Turkish TV series is deeply examined through quantitative, qualitative, statistical, and artificial intelligence-based approaches. People's awareness of this theme in Turkish series and the factors that vary it are examined, with the study aiming to increase awareness and suggest solutions. Teachers' awareness of violence against women is investigated through a survey consisting of teachers located in the boundaries of Beşiktaş District, while the sample group contained 109 teachers selected by a non-proportional sampling method. SPSS 27 Evaluation software is used to analyze the survey data, and the results show a high level of awareness among teachers. With the help of findings from the artificial intelligence-based approach, it is decided that TV series producers intend to use the concept of violence against women since this concept is present in the most-watched episodes. This study differs from similar studies since it is based on an artificial intelligence-based algorithm developed by the researchers and is considered to contribute to the literature. |
| Subject Area | Sociology |
| Issue | Volume 3, Issue 3 (May - June 2026) |
| Published | 2026/06/12 |
| How to Cite | Candan, B., Yıldırım, O., & Aydemir, Ö. (2026). Sociological Analysis of Violence against Women in Turkish Society (With the Help of Artificial Intelligence). International Journal of Social Science Research (IJSSR), 3(3), 747–771. https://doi.org/10.70558/IJSSR.2026.v3.i3.301130 |
| DOI | 10.70558/IJSSR.2026.v3.i3.301130 |
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