Physical Sciences and Mathematics Commons^™

Al-Jihad Fi Sabilillah: In The Heart Of Green Birds, Robyn Torok

Australian Counter Terrorism Conference

With an increasing focus on lone-wolf operations, al-Qaeda is becoming increasingly focussed on its internet discourses and propaganda. One of its most significant discourses is the importance of jihad and martyrdom in carrying out a terrorist attack. This study looks at Facebook pages and profiles and examines the discourses presented in relation to jihad and martyrdom. Three important concepts including their justification are considered: Al-Jihad fi Sabilillah (just fight for the sake of Allah), Istishhad (operational heroism of loving death more than the West love life) and Shaheed (becoming a martyr). Results supported previous studies indicating the strong seductive nature …

Community-Based Classification Of Noun Phrases In Twitter, Freddy Chong Tat Chua, William W. Cohen, Justin Betterridge, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Many event monitoring systems rely on counting known keywords in streaming text data to detect sudden spikes in frequency. But the dynamic and conversational nature of Twitter makes it hard to select known keywords for monitoring. Here we consider a method of automatically finding noun phrases (NPs) as keywords for event monitoring in Twitter. Finding NPs has two aspects, identifying the boundaries for the subsequence of words which represent the NP, and classifying the NP to a specific broad category such as politics, sports, etc. To classify an NP, we define the feature vector for the NP using not just …

Content Contribution For Revenue Sharing And Reputation: A Dynamic Structural Model, Qian Tang, Bin Gu, Andrew B. Whinston

Research Collection School Of Computing and Information Systems

This study examines the incentives for content contribution in social media. We propose that exposure and reputation are the major incentives for contributors. Besides, as more and more social media Web sites offer advertising-revenue sharing with some of their contributors, shared revenue provides an extra incentive for contributors who have joined revenue-sharing programs. We develop a dynamic structural model to identify a contributor's underlying utility function from observed contribution behavior. We recognize the dynamic nature of the content-contribution decision-that contributors are forward-looking, anticipating how their decisions affect future rewards. Using data collected from YouTube, we show that content contribution is …

Twitris+: Social Media Analytics Platform For Effective Coordination, Gary Alan Smith, Amit P. Sheth, Ashutosh Sopan Jadhav, Hemant Purohit, Lu Chen, Michael Cooney, Pavan Kapanipathi, Pramod Anantharam, Pramod Koneru, Wenbo Wang

Kno.e.sis Publications

Twitris+ is a Semantic Social Media analytics platform to provide technologies for analyzing large-scale social media streams across Spatio-Temporal-Thematic (STT) and People-Content-Network (PCN) dimensions. It provides holistic situational awareness from one interface and enables organizational actors to engage in well-coordinated ways for desired tasks during emergency response.

Visualizing Media Bias Through Twitter, Jisun An, Meeyoung Cha, Gummadi, Krishna, Jon Crowcroft, Daniele Queria

Research Collection School Of Computing and Information Systems

Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Therefore, tracking bias in everyday news and building a platform where people can receive balanced news information is important. We propose a model that maps the news media sources along a dimensional dichotomous political spectrum using the co-subscriptions relationships inferred by Twitter links. By analyzing 7 million follow links, we show that the political dichotomy naturally arises on Twitter when we only consider direct media subscription. Furthermore, we demonstrate a real-time Twitter-based application …

Editorial: The Idio-Technopolis, Katina Michael

Professor Katina Michael

The rapid rise of social media has brought with it an emphasis on the distinct dimensions of the whole person. Social media recognises that the individual has a personal network of extensions- a home life, a work life, a social life, a study life, a hobbyist life, and much more- some of these identities even hidden from full view. Each of these online value networks are now accessible by big business, where opinion leaders and early adopters are easily distinguishable, and where brand commentary between consumers matters manifold more than any form of targeted advertising.

Constructing A Community Response Grid (Crg): The Dublin, Ohio Case Study, John Freund

CCE Theses and Dissertations

During an emergency, information availability is critical to preserving life and minimizing damages. During the emergency response, however, information may not be available to those who need it. A community response grid (CRG) can help ameliorate this lack of availability by allowing people to document and distribute emergency information to professional emergency responders (PERs). A CRG combines mobile communications services, Internet technologies, e-government applications, and social network concepts with traditional emergency response systems.

The problem that this case study investigated was how to construct a CRG for the City of Dublin, Ohio, Division of Police that works in conjunction with …

Predictive Modeling For Navigating Social Media, Meiqun Hu

Dissertations and Theses Collection (Open Access)

Social media changes the way people use the Web. It has transformed ordinary Web users from information consumers to content contributors. One popular form of content contribution is social tagging, in which users assign tags to Web resources. By the collective efforts of the social tagging community, a new information space has been created for information navigation. Navigation allows serendipitous discovery of information by examining the information objects linked to one another in the social tagging space. In this dissertation, we study prediction tasks that facilitate navigation in social tagging systems. For social tagging systems to meet complex navigation needs …