Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article AI-Powered Detection of Hate Speech Against Refugees in Turkish Social Media(Springer Science and Business Media B.V., 2025) Eğin, F.; Bulut, V.; Onan, A.Social media platforms can cause hate speech to spread rapidly, so it is important to address such content. The speed at which hate speech spreads on social media makes it impossible to obstruct such content manually. Artificial intelligence support can be a solution for this. Detecting hate speech with artificial intelligence requires determining which expressions are hate speech. In this research, a study was conducted specifically on hate speech against refugees. Considering that Turkiye is the country with the highest migration after the Syrian Civil War, and the hospitality to approximately 3.9 Syrian people, the study focused on the Turkish language. The research first aims to create a Turkiye dataset of social media posts. Posts containing hate speech were labeled using discourse analysis on this dataset. The next stage of the research is to detect Turkish hate speech against refugees with artificial intelligence. According to the research results, the BERTurk model trained with this dataset achieved an accuracy rate of 85% in the automatic detection of Turkish hate speech. In the current climate, hate speech can spread rapidly in society and can easily lead to violent acts. Therefore, taking the necessary measures against hate speech is crucial. This study is crucial for automatically detecting hate speech in Turkish. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.Conference Object Citation - Scopus: 2The Role of the Computational Designer From Computer-Aided Design To Machine Learning-Aided Design a Study on Generative Models and Design Prompts(Education and research in Computer Aided Architectural Design in Europe, 2023) Yonder, V.M.; Dulgeroglu, O.; Dogan, F.; Cavka, H.B.The rising sophistication of digital design technologies and instruments requires computational designers to acquire a broader set of abilities, such as expertise in a variety of digital models, scripting languages, and the ability to manage complicated data models. In the field of design, the concepts of machine learning-aided design and data-driven techniques contribute to the production of various and numerous design possibilities. Ultimately, this will lead the computational designer to redefine his or her power over the design protocol. In this paper, ChatGPT-3.5, Dall-E v2, and Stable Diffusion, cutting-edge artificial intelligence models, are used to construct sample design scenarios. Using a text mining application, the scenario-specific prompts were examined to explore these models' computational design potential. © 2023, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.