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    Cultural Differences in Media Framing of AI
    (Springer Nature, 2021) Suerdem, A.; Akkilic, S.
    Media frames are especially important in understanding how the public makes sense of hi-tech artefacts that are either poorly or indirectly experienced in everyday life. Since the algorithms behind artificial intelligence (AI) are almost a ‘black box’ to most people, despite its pervasive presence in everyday life, AI keeps its fetish-like representation in the public imagination. Differing from certain science topics, such as space technologies, by having little direct presence in everyday life, AI presents an important case for understanding the cultural functions of hi-tech artefacts. Despite its importance, the way media framing of AI differs in different cultural contexts remains a gap in the literature. The limited number of studies analysing AI in the media rely mostly on content analysis of single cases, rather than cross-cultural comparisons. Media framing is closely related to context, and analysing media across countries can accentuate different media framings. Through automated text analysis of approximately 5000 news items, this study provides some evidence supporting the proposition that media in different countries represent AI in ways that reflect the cultural, societal and political context in which they are embedded. © China Science and Technology Press 2021.
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    Detection of Change in the Senses of AI in Popular Discourse
    (Springer Science and Business Media Deutschland GmbH, 2023) Suerdem, A.; Dalyan, T.; Yıldırım, S.
    As chatbots, driverless cars and other robot-like applications become a part of everyday life, we are witnessing an increase in the popularization of Artificial Intelligence (AI) by the mass media. While this has some potential in terms of informing the public about technological development, it also makes the term a buzzword not pointing to any actual object with no agreed-upon meaning. AI is usually deployed as an umbrella term for sealing a variety of analytical tools such as intelligent decision support systems, deep learning, and computational linguistics disregarding their actual denotations. As the popular discourse and media represent its mundane features to connote miracles or apocalypses, AI gains a mythical status that can have different significations according to different cultural contexts. Our aim in this paper is to study the semantic shifts in the meaning of AI in different contexts by examining the mapping of the words to different semantic vector spaces over time. © 2023, Springer Nature Switzerland AG.
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    Multidimensional scaling of qualitative data
    (Taylor and Francis, 2021) Suerdem, A.
    [No abstract available]
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