Simulations For Crisis Communication: The Use Of Social Media, Siyoung Chung

Research Collection Lee Kong Chian School Of Business

Simulations have been widely used in crisis and emergency communication for practitioners but have not reached classrooms in higher education. The purpose of this study was to investigate the effects that simulations using social media have on learning of crisis communication among college students. To explore the effects, a real-time crisis simulation activity using social media are created for 132 undergraduate students enrolled at a business school. Both quantitative and qualitative data collected from pre- and post-simulation surveys are used to investigate the benefits of simulations on learning and identify the challenges the participants experienced.

‘Tweetboard’ – A Case Study Of Developing A Micro-Blogging Platform For Higher Education, Shao Cheh Joyce Hsu, Gan, Benjamin, Jin Lee, Shu Hui Sheryl Lim, Xie Yan Jeremy Lim, Thomas Menkhoff, Si Xian Sherman Tan, Charles Jason Woodard, Qiu Cheng Yap

Research Collection School Of Computing and Information Systems

This paper reports experiences made at an Asian university in developing a social media platform based on Twitter in the context of a final year capstone project where information systems management students get an opportunity to solve ‘a real-world problem for a real client’. In this case study, the challenge was provided by a faculty member’s request for an interactive social media application which engages less outspoken students in class via a social medium they are familiar with: Twitter. We reconstruct the project’s evolution; describe the main features of the application called ‘TweetBoard’ and share lessons learned in developing a …

Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang

Research Collection School Of Computing and Information Systems

Microblogging services allow users to create hashtags to categorize their posts. In recent years,the task of recommending hashtags for microblogs has been given increasing attention. However,most of existing methods depend on hand-crafted features. Motivated by the successful use oflong short-term memory (LSTM) for many natural language processing tasks, in this paper, weadopt LSTM to learn the representation of a microblog post. Observing that hashtags indicatethe primary topics of microblog posts, we propose a novel attention-based LSTM model whichincorporates topic modeling into the LSTM architecture through an attention mechanism. Weevaluate our model using a large real-world dataset. Experimental results show that …

Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen

Research Collection School Of Computing and Information Systems

Information diffusion in social networks is often characterized by huge participating communities and viral cascades of high dynamicity. To observe, summarize, and understand the evolution of dynamic diffusion processes in an informative and insightful way is a challenge of high practical value. However, few existing studies aim to summarize networks for interesting dynamic patterns. Dynamic networks raise new challenges not found in static settings, including time sensitivity, online interestingness evaluation, and summary traceability, which render existing techniques inadequate. We propose dynamic network summarization to summarize dynamic networks with millions of nodes by only capturing the few most interesting nodes or …

Domain Identification For Intention Posts On Online Social Media, Thai Le Luong, Quoc Tuan Truong, Hai-Trieu Dang, Xuan Hieu Phan

Research Collection School Of Computing and Information Systems

Today, more and more Internet users are willing to share their feeling, activities, and even their intention about what they plan to do on online social media. We can easily see posts like "I plan to buy an apartment this year", or "We are looking for a tour for 3 people to Nha Trang" on online forums or social networks. Recognizing those user intents on online social media is really useful for targeted advertising. However fully understanding user intents is a complicated and challenging process which includes three major stages: user intent filtering, intent domain identification, and intent parsing and …

Social Media And Political Communication In The 2014 Elections To The European Parliament, Paul Nulty, Yannis Theocharis, Sebastian Adrian Popa, Olivier Parnet, Kenneth Benoit

Research Collection School of Social Sciences

Social media play an increasingly important part in the communication strategies of political campaigns by reflecting information about the policy preferences and opinions of political actors and their public followers. In addition, the content of the messages provides rich information about the political issues and the framing of those issues during elections, such as whether contested issues concern Europe or rather extend pre-existing national debates. In this study, we survey the European landscape of social media using tweets originating from and referring to political actors during the 2014 European Parliament election campaign. We describe the language and national distribution of …

Hands 2 Paws – A Canine Artist Story, London Labrador, Leza Labrador

The Transdisciplinary STEAM+ Journal

Artwork made by London, a canine artist.

Effectiveness Of Online Health Communities: Assessment Of Social Support And Stress, Amit Saha

Theses and Dissertations

With increasing prevalence of autism spectrum disorder (ASD) among the younger generation, there is a shortage of adequate resources to deliver care for the individuals dealing with autism. Families dealing with autism face enormous economic costs and emotional stress to provide care for personnel diagnosed with ASD. Globally, almost two billion people use social media regularly to connect and stay in touch with their friends, family, and acquaintances irrespective of distance. For the families dealing with autism, social media provide an open and easily accessible platform to share, gather and exchange information. Systematic analysis of this extensive interaction among autism …

Social Media And Learning At The Ferguson Municipal Public Library, Madelynn Dickerson

Library Staff Publications and Research

This brief article highlights the way in which the Ferguson Municipal Public Library harnessed social media, specifically Twitter, to provide opportunities for learning in the community during the August 2014 protests after the death of Michael Brown, a black teenager shot and killed by a white police officer. The article presents data from the Ferguson Library’s Twitter account and looks at community reception of the library’s educational efforts.

Sharpening Career And Networking Skills For Fun And Profit, Tracy Z. Maleeff

SLA Student Chapter Events Archive

Congratulations, you will have an MLIS degree soon! Now, what? Whether library and information science is your first, second, or third career, learn how there are skills to be honed that you can use in both your professional and personal life. Learn tricks and tips about networking, public speaking, and research that can help you reach your life goals. Tracy Z. Maleeff will share her story of recognizing her transferable skills along her career path as well as how fine-tuning her networking skills brought great results.

Welcome To Dignity, Donna M. Hughes

Dignity: A Journal of Analysis of Exploitation and Violence

No abstract provided.

Jitim Volume 25 Issue 3 - Front Page

Journal of International Technology and Information Management

JITIM volume 25, issue 3

Media Reinvented, Geoff Tan

Asian Management Insights

The brave new world of digital media.

On Profiling Bots In Social Media, Richard J. Oentaryo, Arinto Murdopo, Philips K. Prasetyo, Ee Peng Lim

Research Collection School Of Computing and Information Systems

The popularity of social media platforms such as Twitter has led to the proliferation of automated bots, creating both opportunities and challenges in information dissemination, user engagements, and quality of services. Past works on profiling bots had been focused largely on malicious bots, with the assumption that these bots should be removed. In this work, however, we find many bots that are benign, and propose a new, broader categorization of bots based on their behaviors. This includes broadcast, consumption, and spam bots. To facilitate comprehensive analyses of bots and how they compare to human accounts, we develop a systematic profiling …

Spiteful, One-Off, And Kind: Predicting Customer Feedback Behavior On Twitter, Agus Sulistya, Abhishek Sharma, David Lo

Research Collection School Of Computing and Information Systems

Social media provides a convenient way for customers to express their feedback to companies. Identifying different types of customers based on their feedback behavior can help companies to maintain their customers. In this paper, we use a machine learning approach to predict a customer’s feedback behavior based on her first feedback tweet. First, we identify a few categories of customers based on their feedback frequency and the sentiment of the feedback. We identify three main categories: spiteful, one-off, and kind. Next, we build a model to predict the category of a customer given her first feedback. We use profile and …

Cloud-Based Learning Tools: Supporting The Invisible Learner (Silent Sufferers) With Socioeconomic Challenges, Lynita A. Robinson Emba, Jimmy Johnson

Southwestern Business Administration Teaching Conference

Today's students are learning at unprecedented speeds. There are a pockets of learners who may be isolated/silent sufferers who face tremendous socioeconomic challenges while seeking higher education. Providing cloud-based technology solutions to strengthen support services and family learning engagement through a series of student family portals will provide the support needed to make student learning opportunities family-based projects or community-based projects successful in graduation completion rates and job placement opportunities.

Collective Influence Of Multiple Spreaders Evaluated By Tracing Real Information Flow In Large- Scale Social Networks, Xian Teng, Sen Pei, Flaviano Morone, Hernán A. Makse

Publications and Research

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly …

Digital Self-Ownership: A Publicity-Rights Framework For Determining Employee Social Media Rights, Susan Park, Patricia Sánchez Abril

Management Faculty Publications and Presentations

Imagine an upandcoming company hires you as one of its first employees. Passionate about your employer, you put in long hours doing everything from marketing to accounting to event planning. You are also proud of your employer's product, so you begin to publicize it to your friends through your social network accounts. (In fact, the company's founder is also one of your Facebook friends.) You tell your friends about the product launch, invite them to marketing events, and eventually blog about your industry, amassing a significant social media following while creating buzz about your employer. But one day, during layoffs …

Content Mining Techniques For Detecting Cyberbullying In Social Media, Shawniece L. Parker, Yen-Hung Hu

Virginia Journal of Science

The use of social media has become an increasingly popular trend, primarily among teenagers. A major problem concerning teens using social media is that they are often unaware of the dangers involved when using these media. They are also more inclined to misuse social media because they are often unaware of the privacy rights associated with their use, or the rights of other users. As a result, cyberbullying cases have steadily risen in recent years, often going undiscovered or not being discovered until serious harm has been caused to the victims. This study aims to create an effective algorithm that …

An Exploration Of Mobile Device Security Artifacts At Institutions Of Higher Education, Amita Goyal Chin, Diania Mcrae, Beth H. Jones, Mark A. Harris

Journal of International Technology and Information Management

The explosive growth and rapid proliferation of smartphones and other mobile

devices that access data over communication networks has necessitated advocating

and implementing security constraints for the purpose of abetting safe computing.

Remote data access using mobile devices is particularly popular among students at

institutions of higher education. To ensure safe harbor for constituents, it is

imperative for colleges and universities to establish, disseminate, and enforce

mobile device security artifacts, where artifacts is defined as policies, procedures,

guidelines or other documented or undocumented protocols. The purpose of this

study is to explore the existence of, specific content of, and the …