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Bilgisayar Mühendisliği Bölümü

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Browsing Bilgisayar Mühendisliği Bölümü by Publication Category "Kitap Bölümü - Uluslararası"

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    Enterprise Architecture for Personalization of E-Government Services: Reflections From Turkey
    (Igi Global, 2012) Erdem, Alpay; Medeni, İhsan Tolga; Medeni, Ihsan Tolga; Medeni, Tunc D.; 181215; Bilgisayar Mühendisliği
    As there has not yet been enough work on enterprise architectures for fully integrated knowledge-based, highly-sophisticated (citizen-oriented) personalized services, this chapter aims to articulate a perspective to design architectures for the development and provision of sophisticated, personalized services. Doing so, the authors benefit from their knowledge and experience in the Turkish e-Government Gateway (eGG) and general e-Government services development and provision. First providing an introduction and background information, the chapter discusses the development of eGG services in Turkey, and then provides a visionary suggestion for knowledge-based personalized, citizen-centric e-Government. Among the suggested perspectives, an E-Citizen Decision Support System, and Entity-Utility and Information Flow Model could be useful for eGG development in Turkey and elsewhere.
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    Text-Based Fake News Detection via Machine Learning
    (Springer Science and Business Media Deutschland GmbH, 2021) Mertoğlu, U.; Sever, Hayri; Genç, B.; Sever, H.; 11916; Bilgisayar Mühendisliği
    The nature of information literacy is changing as people incline more towards using digital media to consume content. Consequently, this easier way of consuming information has sparked off a challenge called “Fake News”. One of the risky effects of this notorious term is to influence people’s views of the world as in the recent example of coronavirus misinformation that is flooding the internet. Nowadays, it seems the world needs “information hygiene” more than anything. Yet real-world solutions in practice are not qualified to determine verifiability of the information circulating. Presenting an automated solution, our work provides an adaptable solution to detect fake news in practice. Our approach proposes a set of carefully selected features combined with word-embeddings to predict fake or valid texts. We evaluated our proposed model in terms of efficacy through intensive experimentation. Additionally, we present an analysis linked with linguistic features for detecting fake and valid news content. An overview of text-based fake news detection guidance derived from experiments including promising results of our work is also presented in this work. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.