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Publication Open Access Big data analytics and the limits of privacy self-management(Sage, 2017) Popescu, M.; Department of Media and Visual Arts; Baruh, Lemi; Department of Media and Visual Arts; College of Social Sciences and HumanitiesThis article looks at how the logic of big data analytics, which promotes an aura of unchallenged objectivity to the algorithmic analysis of quantitative data, preempts individuals' ability to self-define and closes off any opportunity for those inferences to be challenged or resisted. We argue that the predominant privacy protection regimes based on the privacy self-management framework of "notice and choice" not only fail to protect individual privacy, but also underplay privacy as a collective good. To illustrate this claim, we discuss how two possible individual strategies-withdrawal from the market (avoidance) and complete reliance on market-provided privacy protections (assimilation)-may result in less privacy options available to the society at large. We conclude by discussing how acknowledging the collective dimension of privacy could provide more meaningful alternatives for privacy protection.
Publication Metadata only Challenging cultural and political taboos a Turkish SVOD's experiments in taboo comedy(New York University Press, 2023) N/A; Department of Media and Visual Arts; Ildır, Aslı; Teaching Faculty; Department of Media and Visual Arts; College of Social Sciences and Humanities; 333977N/APublication Open Access Design thinking in transitional period(Frontiers, 2022) Department of Media and Visual Arts; Özcan, Oğuzhan; Faculty Member; Department of Media and Visual Arts; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Social Sciences and Humanities; 12532In this speculative look of design thinking through the lens of the Renaissance, the author draws our attention to the shocking similarity between the transition in today's world and the Industrial Era. In this comparison, he emphasizes the similar role of “arts in Renaissance” concept and Design Thinking. In this perspective, the author's concern is not about discussing how the Design Thinking process will be in the new era, but just speculating its role as a tool in such a transitional period.Publication Open Access Digital populism: trolls and political polarization of Twitter in Turkey(University of Southern California, Annenberg School for Communication _ Journalism, 2017) Department of Media and Visual Arts; Department of Sociology; Bulut, Ergin; Yörük, Erdem; Faculty Member; Faculty Member; Department of Media and Visual Arts; Department of Sociology; College of Social Sciences and Humanities; 219279; 28982This article analyzes political trolling in Turkey through the lens of mediated populism. Twitter trolling in Turkey has diverged from its original uses (i.e., poking fun, flaming, etc.) toward government-led polarization and right-wing populism. Failing to develop an effective strategy to mobilize online masses, Turkey’s ruling Justice and Development Party (JDP/AKP) relied on the polarizing performances of a large progovernment troll army. Trolls deploy three features of JDP’s populism: serving the people, fetish of the will of the people, and demonization. Whereas trolls traditionally target and mock institutions, Turkey’s political trolls act on behalf of the establishment. They produce a digital culture of lynching and censorship. Trolls’ language also impacts pro-JDP journalists who act like trolls and attack journalists, academics, and artists critical of the government.Publication Metadata only Grammatical development in both languages of bilingual Turkish-Dutch children with and without Developmental Language Disorder(Frontiers, 2022) Blom, Elma; Boerma, Tessel; Karaca, Figen; de Jong, Jan; Department of Psychology; Küntay, Aylin C.; Faculty Member; Department of Psychology; College of Social Sciences and Humanities; 178879IntroductionTo guarantee a reliable diagnosis of Developmental Language Disorder (DLD) in bilingual children, evaluating both languages is recommended. However, little is known about how DLD impacts the heritage language, and it is largely unknown whether bilingual children with DLD develop the heritage language at the same pace as their peers with typical development (TD). MethodsFor this longitudinal study that focused on children's grammatical development, we analyzed semi-spontaneous speech samples of 10 Turkish-Dutch children with DLD (bi-DLD) and 10 Turkish-Dutch children with typical development (bi-TD). Children were 5 or 6 years old at the first wave of data collection, and there were three waves of longitudinal data collection with 1-year intervals. In addition, data from 20 monolingual Dutch controls were analyzed (10 mono-DLD, 10 mono-TD). Results and discussionResults indicate that heritage language assessment can inform clinical diagnosis. In the case of Turkish spoken in the Netherlands, short sentences, the absence of the genitive suffix in simple constructions and avoidance of complex constructions that require possessive marking could potentially be clinical markers of DLD. Accusative case errors are also relatively frequent in bilingual Turkish-Dutch children with DLD, but these are less promising as a clinical marker because previous research suggests that omission and substitution of accusative case can be part of the input to Turkish heritage language learners. In Dutch, frequent omission of grammatical morphemes in the verbal domain coupled with a limited amount of overregularization errors could indicate that a child is at risk for DLD, both in bilingual and monolingual contexts. Cross-linguistic comparisons of error types in Turkish and Dutch confirm that, regardless of typological differences, children with DLD use short sentences, avoid complex structures, and omit grammatical morphemes. Longitudinal analyses revealed that children with DLD can develop the heritage language at the same pace as TD children, even if this language is not supported at school. Strong intergenerational transmission and heritage language maintenance among Turkish migrants in the Netherlands may be key.Publication Metadata only Histopathological classification of colon tissue images with self-supervised models(IEEE, 2023) Department of Computer Engineering; Erden, Mehmet Bahadır; Cansız, Selahattin; Demir, Çiğdem Gündüz; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of EngineeringDeep learning techniques have demonstrated their ability to facilitate medical image diagnostics by offering more precise and accurate predictions. Convolutional neural network (CNN) architectures have been employed for a decade as the primary approach to enable automated diagnosis. On the other hand, recently proposed vision transformers (ViTs) based architectures have shown success in various computer vision tasks. However, their efficacy in medical image classification tasks remains largely unexplored due to their requirement for large datasets. Nevertheless, significant performance gains can be achieved by leveraging self-supervised learning techniques through pretraining. This paper analyzes performance of self-supervised pretrained networks in medical image classification tasks. Results on colon histopathology images revealed that CNN based architectures are more effective when trained from scratch, while pretrained models could achieve similar levels of performance with limited data.Publication Metadata only Implications of node selection in decentralized federated learning(IEEE, 2023) Department of Computer Engineering; Lodhi, Ahnaf Hannan; Akgün, Barış; Özkasap, Öznur; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of EngineeringDecentralized Federated Learning (DFL) offers a fully distributed alternative to Federated Learning (FL). However, the lack of global information in a highly heterogeneous environment negatively impacts its performance. Node selection in FL has been suggested to improve both communication efficiency and convergence rate. In order to assess its impact on DFL performance, this work evaluates node selection using performance metrics. It also proposes and evaluates a time-varying parameterized node selection method for DFL employing validation accuracy and its per-round change. The mentioned criteria are evaluated using both hard and stochastic/soft selection on sparse networks. The results indicate that the bias associated with node selection adversely impacts performance as training progresses. Furthermore, under extreme conditions, soft selection is observed to result in higher diversity for better generalization, while a completely random selection is shown to be preferable with very limited participation.Publication Open Access Introduction: academic labour, digital media and capitalism(TripleC, 2018) Allmer, Thomas; Department of Media and Visual Arts; Bulut, Ergin; Faculty Member; Department of Media and Visual Arts; College of Social Sciences and Humanities; 219279Publication Open Access Media in new Turkey: the origins of an authoritarian neoliberal state(University of Southern California, Annenberg School for Communication _ Journalism, 2018) Department of Media and Visual Arts; Sim, Melike Aslı; Department of Media and Visual Arts; Graduate School of Social Sciences and HumanitiesPublication Metadata only Monotheism and television: a comparative content analysis of religion in prime-time programming in the USA, Israel, and Turkey(Taylor & Francis, 2020) Cohen, Yoel; Department of Media and Visual Arts; Hetsroni, Amir; Faculty Member; Department of Media and Visual Arts; College of Social Sciences and Humanities; 258782This comparative study examines content on religion in mainstream TV programming in three countries: Christianity as expressed on US television, Islam on Turkish Television, and Judaism on Israel Television. Religious practices, spiritual inspiration, and the extent to which they accurately reflected religious tradition along with the tone of conversation about religion were coded in 154 hours of prime-time network programming from the USA, 112 hours of prime-time programming from Israel, and 30 hours from Turkey. The results indicate that most religious activity on television is done in public. Its presence in the programming is very infrequent: once an hour in Turkey, once in 2hours in Israel and once in 3hours in the USA. However, while in US and Turkish programming more than three quarters of the religious practices brought fulfillment to their participants and more than 90% of the practices adhered fully or partly to religious traditional law, in Israeli shows only one quarter of the practices brought fulfillment and just half of them were full or partial replicas of religious traditional rules. Speech about religion appeared just as infrequently as practices did, but its tone was mainly positive in all the three countries.