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Erdem Yörük
Researcher at Koç University
Publications - 45
Citations - 552
Erdem Yörük is an academic researcher from Koç University. The author has contributed to research in topics: Politics & Welfare. The author has an hindex of 11, co-authored 36 publications receiving 374 citations. Previous affiliations of Erdem Yörük include University of Oxford.
Papers
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Journal ArticleDOI
Welfare Provision as Political Containment The Politics of Social Assistance and the Kurdish Conflict in Turkey
TL;DR: In this article, a cross-sectional dataset generated by a 10,386-informant stratified random sampling survey and controls for possibly intervening socioeconomic factors and neighborhood-level fixed-effects was used to show that high ethnic disparity in social assistance is not due to higher poverty among Kurds.
Journal Article
Mediatized Populisms| Digital Populism: Trolls and Political Polarization of Twitter in Turkey
Ergin Bulut,Erdem Yörük +1 more
TL;DR: The authors analyzes political trolling in Turkey through the lens of mediated populism and finds that trolls deploy three features of the ruling Justice and Development Party (JDP/AKP): serving the people, fetish of the will of the people and demonization.
Book ChapterDOI
A Task Set Proposal for Automatic Protest Information Collection Across Multiple Countries
TL;DR: This work proposes a coherent set of tasks for protest information collection in the context of generalizable natural language processing, including news article classification, event sentence detection, and event extraction that address the challenge of building generalizable NLP tools that perform well independent of the source of the text.
Book ChapterDOI
Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-context Setting
Ali Hürriyetoğlu,Erdem Yörük,Deniz Yuret,Çağrı Yoltar,Burak Gürel,Fırat Duruşan,Osman Mutlu,Arda Akdemir +7 more
TL;DR: An overview of the CLEF-2019 Lab ProtestNews on Extracting Protests from News in the context of generalizable natural language processing is presented and neural networks yield the best results.