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Social and Behavioral Sciences Commons™
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- Keyword
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- Twitter (12)
- Social media (4)
- Social network (3)
- User behavior (3)
- Virality (3)
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- Attitudes (2)
- China (2)
- Feature extraction (2)
- Information propagation (2)
- Machine learning (2)
- Malaysia (2)
- Micro-blogging (2)
- Microblogging (2)
- Networking behavior (2)
- Susceptibility (2)
- ASEAN (1)
- Acoustic content (1)
- Adoption dynamics (1)
- And online friendship (1)
- Animals (1)
- Anxiety (1)
- Audience segmentation (1)
- Authenticity (1)
- Bilingualism (1)
- Blended learning (1)
- Bot profiling (1)
- Brand factors (1)
- Burst topic (1)
- Carbonated Beverages (1)
- Cheating (1)
- Publication
- Publication Type
Articles 1 - 30 of 61
Full-Text Articles in Social and Behavioral Sciences
Ajit Singh [Malyasia, Asean Secretary-General, Diplomat], Ajit Singh
Ajit Singh [Malyasia, Asean Secretary-General, Diplomat], Ajit Singh
Digital Narratives of Asia
After thirty years as a career diplomat, Malaysia's first ASEAN Secretary-General Ajit Singh, sees his five-year term as the most productive, golden years of his life. He speaks to DNA about the challenges he faced with admitting Myanmar to ASEAN, and the visionary ASEAN leadership. He also expounds on the differences in impacts of work between an ambassador and a bureaucrat.
It Is Only In Giving That We Receive, Tan K. B. Eugene
It Is Only In Giving That We Receive, Tan K. B. Eugene
Research Collection Yong Pung How School Of Law
Giving is quintessential to our common humanity and progress: It recognises that no man is an island and that there are causes greater than ourselves.
‘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
‘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 …
Simulations For Crisis Communication: The Use Of Social Media, Siyoung Chung
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.
Domain Identification For Intention Posts On Online Social Media, Thai Le Luong, Quoc Tuan Truong, Hai-Trieu Dang, Xuan Hieu Phan
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 …
Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang
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 …
From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
Research Collection School Of Computing and Information Systems
With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for personal credit scoring comes into the sight of both researchers and practitioners. It has also become a topic of great importance and growing interest in the P2P lending industry. However, compared with traditional financial data, heterogeneous social data presents both opportunities and challenges for personal credit scoring. In this article, we seek a deep understanding of how to learn users’ credit labels from social …
Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen
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 …
Media Reinvented, Geoff Tan
Media Reinvented, Geoff Tan
Asian Management Insights
The brave new world of digital media.
Spiteful, One-Off, And Kind: Predicting Customer Feedback Behavior On Twitter, Agus Sulistya, Abhishek Sharma, David Lo
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 …
On Profiling Bots In Social Media, Richard J. Oentaryo, Arinto Murdopo, Philips K. Prasetyo, Ee Peng Lim
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 …
Inventing The ‘Authentic’ Self: American Television And Chinese Audiences In Global Beijing, Yang Gao
Inventing The ‘Authentic’ Self: American Television And Chinese Audiences In Global Beijing, Yang Gao
Research Collection School of Social Sciences
This article examines the ways educated urban Chinese youths engage American television fiction as part of their identity work. Drawing on theories of modern reflexive identity, and based on 29 interviews with US TV fans among university students in Beijing, I found these youths are drawn to this television primarily because they perceive the American way of life portrayed on it as more ‘authentic’. This perception of authenticity must be examined within the socio-cultural milieu these students inhabit. Specifically, torn between China’s ingrained collectivist culture and its recent neoliberal emphasis on the individual self, my respondents glean from US TV …
Is The Smartphone A Smart Choice? The Effect Of Smartphone Separation On Executive Functions, Andree Hartanto, Hwajin Yang
Is The Smartphone A Smart Choice? The Effect Of Smartphone Separation On Executive Functions, Andree Hartanto, Hwajin Yang
Research Collection School of Social Sciences
Despite a huge spike in smartphone overuse, the cognitive and emotional consequences of smartphone overuse have rarely been examined empirically. In two studies, we investigated whether separation from a smartphone influences state anxiety and impairs higher-order cognitive processes, such as executive functions. We found that smartphone separation causes heightened anxiety, which in turn mediates the adverse effect of smartphone separation on all core aspects of executive functions, including shifting (Experiment 1) and inhibitory control and working-memory capacity (Experiment 2). Interestingly, impaired mental shifting was evident regardless of the extent of smartphone addiction, whereas smartphone addiction significantly moderated the negative effect …
Validating A Measure Of Beliefs In Health Prevention Screenings Among Old Adults In China, H. Xu, Paulin Tay Straughan, W. Pan, Z. Zhen, B. Wu
Validating A Measure Of Beliefs In Health Prevention Screenings Among Old Adults In China, H. Xu, Paulin Tay Straughan, W. Pan, Z. Zhen, B. Wu
Research Collection School of Social Sciences
We aimed to examine the psychometric properties of a modified 16-item Attitudinal Index (AI), a measure of health beliefs in health prevention screenings among Chinese older adults. We used the 2013 Shanghai Longitudinal Survey of Elderly Life and Opinion data including 3418 respondents aged 60 and above. We examined the validity and reliability of the modified AI. Psychometric evaluation of the modified AI revealed good response patterns. The overall scale had good reliability (Cronbach’s alpha = 0.835) with four distinct dimensions: barriers, fatalism, unnecessary, and detects (Cronbach’s alpha = 0.815 to 0.908). Confirmatory factor analysis of the modified AI’s factor …
Tracking Virality And Susceptibility In Social Media, Tuan Anh Hoang, Ee-Peng Lim
Tracking Virality And Susceptibility In Social Media, Tuan Anh Hoang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
In social media, the magnitude of information propagation hinges on the virality and susceptibility of users spreading and receiving the information respectively, as well as the virality of information items. These users' and items' behavioral factors evolve dynamically at the same time interacting with one another. Previous works however measure the factors statically and independently in a restricted case: each user has only a single adoption on each item, and/or users' exposure to items are observable. In this work, we investigate the inter-relationship among the factors and users' multiple adoptions on items to propose both new static and temporal models …
Public Realtions In The Social Media Age, Singapore Management University
Public Realtions In The Social Media Age, Singapore Management University
Perspectives@SMU
Instead of communicating through the media, PR professionals now have to engage across the spectrum because “everybody now matters"
Winning In A Mobile-First World, Singapore Management University
Winning In A Mobile-First World, Singapore Management University
Perspectives@SMU
According to Facebook, it’s all about: a discovery mindset, relevance, and ‘thumb-stopping creative’
Efficient Community Maintenance For Dynamic Social Networks, Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang
Efficient Community Maintenance For Dynamic Social Networks, Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang
Research Collection School Of Computing and Information Systems
Community detection plays an important role in a wide range of research topics for social networks including personalized recommendation services and information dissemination. The highly dynamic nature of social platforms, and accordingly the constant updates to the underlying network, all present a serious challenge for efficient maintenance of the identified communities. How to avoid computing from scratch the whole community detection result in face of every update, which constitutes small changes more often than not. To solve this problem, we propose a novel and efficient algorithm to maintain the communities in dynamic social networks by identifying and updating only those …
Did Bp Atone For Its Transgressions? Expanding Theory Of “Ethical Apology In Crisis Communication, Audra Diers-Lawson, Augustine Pang
Did Bp Atone For Its Transgressions? Expanding Theory Of “Ethical Apology In Crisis Communication, Audra Diers-Lawson, Augustine Pang
Research Collection Lee Kong Chian School Of Business
Ethical communication during crisis response is often assessed by external perceptions of the organization's intentions, rather than an assessment of the organization's communicative behaviors. This can easily lead researchers to draw editorial conclusions about an organization's ethics in crisis response rather than accurately describing its communicative behaviors. The case of BP's 2010 oil spill in the Gulf of Mexico provides a prime example for the importance of accurately assessing the ethical content of an organization's crisis response because the ethics of BP's response have been discussed in news and academic sources; yet little direct examination of the ethical content in …
When A Friend Online Is More Than A Friend In Life: Intimate Relationship Prediction In Microblogs, Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang, Ee-Peng Lim
When A Friend Online Is More Than A Friend In Life: Intimate Relationship Prediction In Microblogs, Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Microblogging services such as Twitter and Sina Weibo have been an important, if not indespensible, platform for people around the world to connect to one another. The rich content and user interactions on these platforms reveal insightful information about each user that are valuable for various real-life applications. In particular, user offline relationships, especially those intimate ones such as family members and couples, offer distinctive value for many business and social settings. In this study, we focus on using Sina Weibo to discover intimate offline relationships among users. The problem is uniquely interesting and challenging due to the difficulty in …
Detecting Community Pacemakers Of Burst Topic In Twitter, Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
Detecting Community Pacemakers Of Burst Topic In Twitter, Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang
Research Collection School Of Computing and Information Systems
Twitter has become one of largest social networks for users to broad-cast burst topics. Influential users usually have a large number of followers and play an important role in the diffusion of burst topic. There have been many studies on how to detect influential users. However, traditional influential users detection approaches have largely ignored influential users in user community. In this paper, we investigate the problem of detecting community pacemakers. Community pacemakers are defined as the influential users that promote early diffusion in the user community of burst topic. To solve this problem, we present DCPBT, a framework that can …
Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors, Tuan Anh Hoang, Ee-Peng Lim
Microblogging Content Propagation Modeling Using Topic-Specific Behavioral Factors, Tuan Anh Hoang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
When a microblogging user adopts some content propagated to her, we can attribute that to three behavioral factors, namely, topic virality, user virality, and user susceptibility. Topic virality measures the degree to which a topic attracts propagations by users. User virality and susceptibility refer to the ability of a user to propagate content to other users, and the propensity of a user adopting content propagated to her, respectively. In this paper, we study the problem of mining these behavioral factors specific to topics from microblogging content propagation data. We first construct a three dimensional tensor for representing the propagation instances. …
Elected Presidency Changes: It’S Not Just About The Politics, David Chan
Elected Presidency Changes: It’S Not Just About The Politics, David Chan
Research Collection School of Social Sciences
The debate about the elected presidency(EP) is driven not just by politics and the law,but by perceptions, values and notions offairness. Policymakers and the public need toengage on these for fruitful discussions.
What 100,000 Tweets About The Volkswagen Scandal Tell Us About Angry Customers, Vanitha Swaminathan, Suyun Mah
What 100,000 Tweets About The Volkswagen Scandal Tell Us About Angry Customers, Vanitha Swaminathan, Suyun Mah
Research Collection Lee Kong Chian School Of Business
In September 2015 the Environmental Protection Agency found that many Volkswagen cars sold in the United States were equipped with software that could falsely improve the performance of diesel engines on emissions tests. This cheating was subsequently acknowledged by the car maker.Among the many issues at stake for the company was one of public perception. Anecdotal evidence at the time of the incident suggested irreparable harm to the Volkswagen brand. So could Volkswagen recover in the short term in this regard? And, the broader question, how can you measure brand perception in times of scandal, particularly in an era where …
Extending The Network: The Influence Of Offline Friendship On Twitter Network, Young Soo Kim, Kyungsub Stephen Choi, Felicia Natali
Extending The Network: The Influence Of Offline Friendship On Twitter Network, Young Soo Kim, Kyungsub Stephen Choi, Felicia Natali
Research Collection School Of Computing and Information Systems
Twitter effectively provides a communication platform that allows users to strengthen or augment relationships with their close ones. It is a common scene to see groups of people in continuing group communication from offline to online using tools such as Twitter. Furthermore, it is also possible to meet new friends via online encounter. Under these circumstances, there would be friends who are both offline and online, or only in online. Many of earlier Twitter network studies focused on the network effects’ direction going from online to offline network. This paper explores the opposite direction, going from offline to online network. …
Profiling Social Media Users With Selective Self-Disclosure Behavior, Wei Gong
Profiling Social Media Users With Selective Self-Disclosure Behavior, Wei Gong
Dissertations and Theses Collection
Social media has become a popular platform for millions of users to share activities and thoughts. Many applications are now tapping on social media to disseminate information (e.g., news), to promote products (e.g., advertisements), to manage customer relationship (e.g., customer feedback), and to source for investment (e.g., crowdfunding). Many of these applications require user profile knowledge to select the target social media users or to personalize messages to users. Social media user profiling is a task of constructing user profiles such as demographical labels, interests, and opinions, etc., using social media data. Among the social media user profiling research works, …
How China's Firms Use Analysts To Communicate Externally, Singapore Management University
How China's Firms Use Analysts To Communicate Externally, Singapore Management University
Perspectives@SMU
Chinese companies face a dilemma. They need to straddle two worlds - there’s the old China where business is still conducted on a “who you know” basis, and the emerging world of financial markets, regulations and transparency, says Professor T.J. Wong, Choh-Ming Li Professor of Accountancy and Director of Centre for Institutions and Governance at the Chinese University of Hong Kong (CUHK) Business School.
Stpp: Spatial-Temporal Phase Profiling Based Method For Relative Rfid Tag Localization, Longfei Shangguan, Zheng Yang, Alex X. Liu, Zimu Zhou, Yunhao Liu
Stpp: Spatial-Temporal Phase Profiling Based Method For Relative Rfid Tag Localization, Longfei Shangguan, Zheng Yang, Alex X. Liu, Zimu Zhou, Yunhao Liu
Research Collection School Of Computing and Information Systems
Many object localization applications need the relative locations of a set of objects as oppose to their absolute locations. Although many schemes for object localization using radio frequency identification (RFID) tags have been proposed, they mostly focus on absolute object localization and are not suitable for relative object localization because of large error margins and the special hardware that they require. In this paper, we propose an approach called spatial-temporal phase profiling (STPP) to RFID-based relative object localization. The basic idea of STPP is that by moving a reader over a set of tags during which the reader continuously interrogating …
Can Instagram Posts Help Characterize Urban Micro-Events?, Kasthuri Jayarajah, Archan Misra
Can Instagram Posts Help Characterize Urban Micro-Events?, Kasthuri Jayarajah, Archan Misra
Research Collection School Of Computing and Information Systems
Social media content, from platforms such as Twitter and Foursquare, has enabled an exciting new field of social sensing, where participatory content generated by users has been used to identify unexpected emerging or trending events. In contrast to such text-based channels, we focus on image-sharing social applications (specifically Instagram), and investigate how such urban social sensing can leverage upon the additional multi-modal, multimedia content. Given the significantly higher fraction of geotagged content on Instagram, we aim to use such channels to go beyond identification of long-lived events (e.g., a marathon) to achieve finer-grained characterization of multiple micro-events (e.g., a person …
User Behavior Mining In Microblogging, Tuan Anh Hoang
User Behavior Mining In Microblogging, Tuan Anh Hoang
Dissertations and Theses Collection (Open Access)
This dissertation addresses the modeling of factors concerning microblogging users' content and behavior. We focus on two sets of factors. The first set includes behavioral factors of users and content items driving content propagation in microblogging. The second set consists of latent topics and communities of users as the users are engaged in content generation and behavior adoptions. These two sets of factors are extremely important in many applications, e.g., network monitoring and recommender systems. In the first part of this dissertation, we identify user virality, user susceptibility, and content virality as three behavioral factors that affect users' behaviors in …