Twitter'da Eğlence Trolleri ve Yeni Medya Okuryazarlığı: "Trolleri Beslemeyin"

Binark, Ferruh Mutlu
Karataş, Şule
Çomu, Tuğrul
Koca, Eray


Turkish salafism on twitter: social network analysis
Tapan, Yunus Emre; Ünlü Bilgiç, Tuba; Department of Middle East Studies (2019)
Although Salafism, as a global phenomenon, has been studied extensively especially in the last decades, there is a need to study local contexts. Despite the common characteristics and its transnational nature, every country has formed their local Salafism(s). The Turkish case has been underrepresented in the literature. This thesis utilizes primary sources, which is Twitter data, to explore on the activities and constituencies of the Turkish Salafis by employing social network analysis and quantitative text...
Determining user types from twitter account contentand structure
Gürlek, Mesut; Toroslu, İsmail Hakkı; Department of Computer Engineering (2021-3-05)
People are using social media platforms more and more every day; hence, they are be-coming suitable for research studies by their rich content. Twitter is one of the biggestand most widely used social media platforms, and many studies focus on Twitter forsocial media research. In this thesis, we propose methodologies for determining usertypes of Twitter accounts by their metadata, content, and structure. Our first problemis classifying organization vs. individual account types using only metadata. After weg...
Collective classification of user emotions in twitter
İleri, İbrahim; Karagöz, Pınar; Department of Computer Engineering (2015)
The recent explosion of social networks has generated a big amount of data including user opinions about varied subjects. For classifying the sentiment of user postings, many text-based techniques have been proposed in the literature. As a continuation of sentiment analysis, there are also studies on the emotion analysis. Because of the fact that many different emotions are needed to be dealt with at this point, the problem becomes much more complicated. In this thesis, a different user-centric approach is ...
Classification based personality analysis on Turkish tweets
Maviş, Gökalp; Toroslu, İsmail Hakkı; Department of Computer Engineering (2019)
Psychology researches suggest that some of the personality traits correlate with lin-guistic behavior and nowadays people most commonly present themselves to theworld by using social media. In social media, users openly reveal insights into theirlives and details about their personality. Although, there are many studies related tosocial media, only a small number of them work on personality prediction. In thisproject, we used not only text data but also the other statistics of users of Twitterwhich is one o...
Combining topology-based & content-based analysis for followee recommendation on Twitter
Yanar, Aysu; Karagöz, Pınar; Taşkaya Temizel, Tuğba; Department of Information Systems (2015)
Twitter has become an important social platform for individuals and people share a high number of information about their personal lives, interests and viral news during emergencies. As of 2014, Twitter has 240 million active users and approximately 500 million tweets are shared every day. This information overload in Twitter has become a serious problem due to the growing volume of messages and increasing number of users. Recommender systems help to overcome this challenge. Finding interesting users and ge...
Citation Formats
F. M. Binark, Ş. Karataş, T. Çomu, and E. Koca, Twitter’da Eğlence Trolleri ve Yeni Medya Okuryazarlığı: “Trolleri Beslemeyin”. 2016, p. 108.