عنوان

Perspective Scaling and Trait Detection on Social Media Data

شماره

TL49906

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Perspective Scaling and Trait Detection on Social Media Data

نام عام مواد

[Thesis]

نام نخستين پديدآور

Nyunsu Kim

نام ساير پديدآوران

Davulcu, Hasan

نام ناشر، پخش کننده و غيره

Arizona State University

تاریخ نشرو بخش و غیره

2018

نام خاص و کميت اثر

94

متن يادداشت

Committee members: Corman, Steven; Hsiao, Sharon; Sen, Arunabha

متن يادداشت

Place of publication: United States, Ann Arbor; ISBN=978-0-355-95187-5

جزئيات پايان نامه و نوع درجه آن

Ph.D.

نظم درجات

Computer Science

کسي که مدرک را اعطا کرده

Arizona State University

امتياز متن

2018

متن يادداشت

This research start utilizing an efficient sparse inverse covariance matrix (precision matrix) estimation technique to identify a set of highly correlated discriminative perspectives between radical and counter-radical groups. A ranking system has been developed that utilizes ranked perspectives to map Islamic organizations on a set of socio-cultural, political and behavioral scales based on their web site corpus. Simultaneously, a gold standard ranking of these organizations was created through domain experts and compute expert-to-expert agreements and present experimental results comparing the performance of the QUIC based scaling system to another baseline method for organizations. The QUIC based algorithm not only outperforms the baseline methods, but it is also the only system that consistently performs at area expert-level accuracies for all scales. Also, a multi-scale ideological model has been developed and it investigates the correlates of Islamic extremism in Indonesia, Nigeria and UK. This analysis demonstrate that violence does not correlate strongly with broad Muslim theological or sectarian orientations; it shows that religious diversity intolerance is the only consistent and statistically significant ideological correlate of Islamic extremism in these countries, alongside desire for political change in UK and Indonesia, and social change in Nigeria. Next, dynamic issues and communities tracking system based on NMF(Non-negative Matrix Factorization) co-clustering algorithm has been built to better understand the dynamics of virtual communities. The system used between Iran and Saudi Arabia to build and apply a multi-party agent-based model that can demonstrate the role of wedges and spoilers in a complex environment where coalitions are dynamic. Lastly, a visual intelligence platform for tracking the diffusion of online social movements has been developed called Looking-Glass to track the geographical footprint, shifting positions and flows of individuals, topics and perspectives between groups. The algorithm utilize large amounts of text collected from a wide variety of organizations' media outlets to discover their hotly debated topics, and their discriminative perspectives voiced by opposing camps organized into multiple scales. Discriminating perspectives is utilized to classify and map individual Tweeter's message content to social movements based on the perspectives expressed in their tweets.

موضوع مستند نشده

Web Studies; Computer science

اصطلاح موضوعی

Applied sciences;Communication and the arts;Clustering;Machine learning;Scaling;Social media;Text mining;Visualization

مستند نام اشخاص تاييد نشده

Habeeb, Noah Elias

مستند نام اشخاص تاييد نشده

Davulcu, Hasan

تقسيم فرعي

Computer Science

مستند نام تنالگان تاييد نشده

Arizona State University

شماره بازیابی

2046781538; 10810888

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y