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Yayın Public service announcements about migrants: strategic constructions to reduce prejudice(Anadolu Üniversitesi, 2025-06-30) Pandır, MüzeyyenIn countries with large refugee and migrant populations, it is crucial to build good relations between the newcomers and the host communities. One method of increasing social acceptance and reducing prejudice is using media-based information and awareness-raising activities. !is study examines "ve public service announcement (PSA) "lms prepared by the Turkish Presidency of Migration Management between the years 2017-2021 to increase the social acceptance of migrants, and discusses their potential to reduce prejudice. !e PSAs are examined using a visual content analysis method focusing on the migrant pro"le, narrative structure, language and tone, emphasis on di#erence or similarity, representation of stereotypes, and narrator. !ree main "ndings emerged from the study: Firstly, the PSAs feature a theme of “Great Türkiye”, which emphasizes the greatness of Turkish history and assigns a responsibility to Turkish people to protect those in need, ultimately constructing a superiority over migrants. Secondly, PSAs present migrants in an ambivalent way as capable people contributing to the Turkish economy (visual) and as people in need of help (narrative). !irdly, PSAs use emotional language to deliver messages of understanding and benevolence. Overall, the study argues that PSAs strategically construct Turks as superior and portray migrants as ambivalent to reduce the perception of migrants as a competitive threat to Turks and with an emotional language they make the didactic messages seem less oppressive and patronizing. While these strategies may promote acceptance, their long-term impact is questionable if they are not supported by the teaching of values such as equality and respect.Yayın Reproduction of social biases through AI: a study on AI developers' awareness on social biases(BIDGE Publications, 2023-12-11) Şahin, Aylin; Pandır, MüzeyyenArtificial Intelligence (AI) stands as an evolving and controversial force, changing the way of work in numerous sectors including education, art, finance, health, transportation, and security, also having influences over daily lives. While discussions often revolve around the technological breakthroughs and economic ramifications of AI, it is imperative to recognize and address the social impacts and consequences it carries, particularly with respect to potential social biases and discriminations that it will (re)produce or contribute to. This study explores AI developers' awareness and perspectives on gender, race and ethnicity-based biases in general, and how AI may contribute to these in particular. Surveys were conducted with 60 professionals working in different areas of AI and related issues. The findings revealed relatively informed understandings of the concepts of gender, race and ethnicity, whereas a lack of awareness among participants about prejudice. The study discusses that while considering what new technologies bring to society, it is crucial to understand how these new technologies may perpetuate existing social problems. To prevent such developments, it is crucial that those who play a role in the development of these technologies have an informed and ethical perspective towards the reproduction of social inequalities, for building more inclusive societies.
