ClickbaitTR: Dataset for Clickbait Detection from Turkish News Sites and Social Media with a Comparative Analysis via Machine Learning Algorithms

Genç, Şura
Sürer, Elif
Journal Of Information Science


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Bayir, Murat Ali; Toroslu, İsmail Hakkı; Coşar, Ahmet; Fidan, Guven (2009-12-01)
In this paper, we propose a novel framework called Smart-Miner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation patterns. Unlike the simple session concepts in the time and navigation based approaches, where sessions are sequences of web pages requested from the server or viewed in the browser, Smart Miner sessions are set of paths traversed in the web graph that corresponds to users' navigations among web pages. We have modeled session co...
Crowd participation in web-based collective design platforms: a study on quirky’s in-house industrial designers
Hajiamiri, Milad; Korkut, Fatma; Department of Industrial Design (2014)
Web-based collective design platforms are the newly emerging environments which globally support the contribution of vast number of individuals with diverse backgrounds. This study investigates the role of in-house industrial designers working for web-based collective design platforms in connection with the crowd participation in different phases of design process. The first study conducted focuses on the perceived values of web-based collective design platforms and covers semi-structured interviews with no...
CLOUDGEN: Workload generation for the evaluation of cloud computing systems CLOUDGEN: Bulut Bilişim Sistemlerinin Başarim Deǧerlendirmesi icin Iş Yuku Uretimi
Koltuk, Furkan; Yazar, Alper; Schmidt, Şenan Ece (2019-04-01)
In this paper, we propose CLOUDGEN workflow that produces synthetic workloads for Infrastructure and Platform as a Service for the evaluation of resource management approaches in cloud computing systems. To this end, CLOUDGEN systematically processes and clusters records in a given workload trace and fits distributions for different workload parameters within the clusters. Different than the previous work, clustering is carried out to produce different virtual machine types for achieving models that are sui...
Text recognition and correction for automated data collection by mobile devices
Ozarslan, Suleyman; Eren, Pekin Erhan (2014-02-06)
Participatory sensing is an approach which allows mobile devices such as mobile phones to be used for data collection, analysis and sharing processes by individuals. Data collection is the first and most important part of a participatory sensing system, but it is time consuming for the participants. In this paper, we discuss automatic data collection approaches for reducing the time required for collection, and increasing the amount of collected data. In this context, we explore automated text recognition o...
Event detection on social media using transaction based stream processing engine
Çınar, Hüseyin Alper; Karagöz, Pınar; Department of Computer Engineering (2019)
The aim of this study is detecting events on social media by improving current solutions in terms of accuracy and time performance. An event is something that occurs in a short duration of time in a certain place. In this thesis, the problem is modelled as a streaming transaction process. Three different event detection method is adapted to our solution. First one is the keyword-based event detection method that looks for bursty keywords in a period. The second one is the clustering-based event detection me...
Citation Formats
Ş. Genç and E. Sürer, “ClickbaitTR: Dataset for Clickbait Detection from Turkish News Sites and Social Media with a Comparative Analysis via Machine Learning Algorithms,” Journal Of Information Science, pp. 1–30, 2021, Accessed: 00, 2021. [Online]. Available: