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Full-Text Articles in Social Media
On Predicting Religion Labels In Microblogging Networks, Minh Thap Nguyen, Ee Peng Lim
On Predicting Religion Labels In Microblogging Networks, Minh Thap Nguyen, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Religious belief plays an important role in how people behave, influencing how they form preferences, interpret events around them, and develop relationships with others. Traditionally, the religion labels of user population are obtained by conducting a large scale census study. Such an approach is both high cost and time consuming. In this paper, we study the problem of predicting users' religion labels using their microblogging data. We formulate religion label prediction as a classification task, and identify content, structure and aggregate features considering their self and social variants for representing a user. We introduce the notion of representative user to …
"Warning: This Is A Must Read": Participation And Disruption In Social Artifacts And Spaces, Angela M. Harrison Eng
"Warning: This Is A Must Read": Participation And Disruption In Social Artifacts And Spaces, Angela M. Harrison Eng
English Theses & Dissertations
As I show in three separate case studies, content, technology, and participant relationships are key components in the design of social artifacts and spaces. One study highlights the invention and evolution of content across multiple spaces. The second shows content used as leverage for authority. The last case study examines the relationship between content and technological interfaces and how disruption may not always be successful.
All of these components make up what I refer to as disruption. Disruption describes participant acts that are executed to change existing power-based structures of information sharing. Using the insights gained from this research, I …
On Predicting User Affiliations Using Social Features In Online Social Networks, Minh Thap Nguyen
On Predicting User Affiliations Using Social Features In Online Social Networks, Minh Thap Nguyen
Dissertations and Theses Collection (Open Access)
User profiling such as user affiliation prediction in online social network is a challenging task, with many important applications in targeted marketing and personalized recommendation. The research task here is to predict some user affiliation attributes that suggest user participation in different social groups.