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Articles 451 - 480 of 826
Full-Text Articles in Communication
Computer Supported Collaborative Learning: A Business Simulation Activity Using Social Media, Siyoung Chung, Hichang Cho
Computer Supported Collaborative Learning: A Business Simulation Activity Using Social Media, Siyoung Chung, Hichang Cho
Research Collection Lee Kong Chian School Of Business
Social media are dramatically changing the way welive and make social relationships with others. While students areso immersed in social media in their daily life, social mediaadoption in classroom has been slow. Educators who wish toexperiment with social media for CSCL struggle to find ways toincorporate the expected benefits and advantages of social mediato teaching lessons. This paper reports on the experiences ofusing social media for a business case simulation activity in ahigher learning context. Drawing on a qualitative feedback andsocial media log data of 27 teams of 135 undergraduate students,this paper discusses the advantages and disadvantages of socialmedia as …
Efficacy Of Social Media Utilization By Public Accounting Firms: Findings And Directions For Future Research, B. Eschenbrenner, Fiona Fui-Hoon Nah, V. Telaprolu
Efficacy Of Social Media Utilization By Public Accounting Firms: Findings And Directions For Future Research, B. Eschenbrenner, Fiona Fui-Hoon Nah, V. Telaprolu
Research Collection School Of Computing and Information Systems
Social media presents a new platform for businesses to communicate and interact with others, both internally and externally. Social media may be utilized for activities such as sharing success stories and providing industry updates. Although a plethora of opportunities to achieve business objectives with social media usage exists, the efficacy of its use by public accounting firms is unclear. This article identifies the business objectives that Big 4 and second-tier firms are pursuing with social media. Primary business objectives being fulfilled by social media include Knowledge Sharing, Branding and Marketing, and Socialization and Onboarding. The findings suggest that Big 4 …
Event Identification And Analysis On Twitter, Qiming Diao
Event Identification And Analysis On Twitter, Qiming Diao
Dissertations and Theses Collection (Open Access)
With the rapid growth of social media, Twitter has become one of the most widely adopted platforms for people to post short and instant messages. Because of such wide adoption of Twitter, events like breaking news and release of popular videos can easily capture people’s attention and spread rapidly on Twitter. Therefore, the popularity and importance of an event can be approximately gauged by the volume of tweets covering the event. Moreover, the relevant tweets also reflect the public’s opinions and reactions to events. It is therefore very important to identify and analyze the events on Twitter. In this dissertation, …
Driving Uber’S Success, Singapore Management University
Driving Uber’S Success, Singapore Management University
Perspectives@SMU
Besides being a disruptive innovation, Uber’s exponential growth has been based on smart lobbying and use of social media
Perceptions Of Social Norms Surrounding Digital Piracy: The Effect Of Social Projection And Communication Exposure On Injunctive And Descriptive Norms, Hichang Cho, Siyoung Chung, Anna Filippova
Perceptions Of Social Norms Surrounding Digital Piracy: The Effect Of Social Projection And Communication Exposure On Injunctive And Descriptive Norms, Hichang Cho, Siyoung Chung, Anna Filippova
Research Collection Lee Kong Chian School Of Business
Using a national sample of 620 Internet users in the US, this study examined the extent to which social projection, communication exposure, and an interaction between the two, influenced individuals’ perceptions about two subordinate types of social norms surrounding digital piracy: injunctive norms and descriptive norms. In line with the social projection model, individuals made social estimates about others’ piracy attitudes and behaviors anchoring on their own personal attitudes and behavior. However, frequent communication exposure reduced the degree to which they relied on this egocentric thought process. In addition, the two-way interaction was contingent on another condition (perceiver’s own piracy …
Structured Learning From Heterogeneous Behavior For Social Identity Linkage, Siyuan Liu, Shuhui Wang, Feida Zhu
Structured Learning From Heterogeneous Behavior For Social Identity Linkage, Siyuan Liu, Shuhui Wang, Feida Zhu
Research Collection School Of Computing and Information Systems
Social identity linkage across different social media platforms is of critical importance to business intelligence by gaining from social data a deeper understanding and more accurate profiling of users. In this paper, we propose a solution framework, HYDRA, which consists of three key steps: (I) we model heterogeneous behavior by long-term topical distribution analysis and multi-resolution temporal behavior matching against high noise and information missing, and the behavior similarity are described by multi-dimensional similarity vector for each user pair; (II) we build structure consistency models to maximize the structure and behavior consistency on users' core social structure across different platforms, …
Do Facebook Status Updates Reflect Subjective Well-Being?, Pan Liu, William Tov, Michal Kosinski, David J. Stillwell, Lin Qiu
Do Facebook Status Updates Reflect Subjective Well-Being?, Pan Liu, William Tov, Michal Kosinski, David J. Stillwell, Lin Qiu
Research Collection School of Social Sciences
Nowadays, millions of people around the world use social networking sites to express everyday thoughts and feelings. Many researchers have tried to make use of social media to study users' online behaviors and psychological states. However, previous studies show mixed results about whether self-generated contents on Facebook reflect users' subjective well-being (SWB). This study analyzed Facebook status updates to determine the extent to which users' emotional expression predicted their SWBspecifically their self-reported satisfaction with life. It was found that positive emotional expressions on Facebook did not correlate with life satisfaction, whereas negative emotional expressions within the past 9-10 months (but …
Investigating The Uniqueness And Usefulness Of Proactive Personality In Organizational Research: A Meta-Analytic Review, Matthias Spitzmuller, Hock-Peng Sin, Michael Howe, Shereen Fatimah
Investigating The Uniqueness And Usefulness Of Proactive Personality In Organizational Research: A Meta-Analytic Review, Matthias Spitzmuller, Hock-Peng Sin, Michael Howe, Shereen Fatimah
Research Collection Lee Kong Chian School Of Business
Using meta-analysis (283 effect sizes from 122 studies), we extend prior qualitative and quantitativereviews of research on proactive personality in a number of meaningful ways. First, we examine thediscriminant and incremental validity of proactive personality using meta-analytic regression analyses.Our results reveal that more than 50% of variance in proactive personality is unrelated to the BigFive personality traits collectively. Also, proactive personality accounts for unique variance in overalljob performance, task performance, and organizational citizenship behaviors, even after controllingfor the Big Five personality traits and general mental ability (for overall job performance and taskperformance). Moreover, we find no subgroup differences in proactive …
Cross-Promotion In Social Media: Choosing The Right Allies, Tingting Song, Qian Tang
Cross-Promotion In Social Media: Choosing The Right Allies, Tingting Song, Qian Tang
Research Collection School Of Computing and Information Systems
This paper investigates the strategic use of cross-promotion for content producers in social media. In particular, we study how a producer chooses other producers to cross-promote so as to maximize the expected benefits of them cross-promoting him/her in return. Theories on homophily effect and social influence suggest that cross-promoted producers are more likely to cross-promote the initiator in return when they are in the similar categories or share more common friends and when the initiator has higher status. However, the cross-promotion from producers of different categories and social groups (i.e., share fewer common friends) tend to benefit the initiator more. …
Beyond The Western Masses: Demography And Pakistani Media Credibility Perceptions., Kyujin Shim, Guy J. Golan, Anita G. Day, Sung-Un Yang
Beyond The Western Masses: Demography And Pakistani Media Credibility Perceptions., Kyujin Shim, Guy J. Golan, Anita G. Day, Sung-Un Yang
Research Collection Lee Kong Chian School Of Business
Based on a random survey sample, the current study examined audience assessments of different media platforms in Pakistan. This study found that in the complex Pakistani media landscape, ethnicity is a key indicator in predicting media credibility. Our study’s results indicate that minority ethnic groups tend to find domestic television to be less credible, and international television or traditional media to be more credible, than do members of the majority Punjabi group. Media reliance was found to be a significant indicator of media credibility assessment — particularly regarding media such as international television and the Internet — as media reliance …
Communicating About Marine Disease: The Effects Of Message Frames On Policy Support, Katherine A. Mccomas, Jonathon P. Schuldt, Colleen A. Burge, Sungjong Roh
Communicating About Marine Disease: The Effects Of Message Frames On Policy Support, Katherine A. Mccomas, Jonathon P. Schuldt, Colleen A. Burge, Sungjong Roh
Research Collection Lee Kong Chian School Of Business
Oceans are suffering from the dual climatic pressures of warming temperatures and acidification, increasing the presence of disease risks that affect marine organisms and public health. Through a randomized field-based experiment, this study examines the effects of communicating about risks to marine organisms and public health on people’s support for policies aimed at mitigating those risks as a function of different message frames. To maximize the salience of these issues, participants were recruited from ferry passengers (N1⁄4543) in the San Juan Islands of Washington State in the summer of 2013 and randomized to read one of four fictitious news articles …
J. Y. Pillay [Singapore, Civil Service], Joseph Yuvaraj Pillay
J. Y. Pillay [Singapore, Civil Service], Joseph Yuvaraj Pillay
Digital Narratives of Asia
In this DNA interview, Chancellor of Singapore Management University and former top Singapore civil servant, J.Y. Pillay, tells of qualities of good leaders, and the leadership styles of his former bosses Hon Sui Sen and Goh Keng Swee. Known for being a leader who listens and focuses well, he reveals his process of making controversial decisions in the past.
Should We Use The Sample? Analyzing Datasets Sampled From Twitter's Stream Api, Yazhe Wang, Jamie Callan, Baihua Zheng
Should We Use The Sample? Analyzing Datasets Sampled From Twitter's Stream Api, Yazhe Wang, Jamie Callan, Baihua Zheng
Research Collection School Of Computing and Information Systems
Researchers have begun studying content obtained from microblogging services such as Twitter to address a variety of technological, social, and commercial research questions. The large number of Twitter users and even larger volume of tweets often make it impractical to collect and maintain a complete record of activity; therefore, most research and some commercial software applications rely on samples, often relatively small samples, of Twitter data. For the most part, sample sizes have been based on availability and practical considerations. Relatively little attention has been paid to how well these samples represent the underlying stream of Twitter data. To fill …
Author Topic Model-Based Collaborative Filtering For Personalized Poi Recommendations, Shuhui Jiang, Xueming Qian, Jialie Shen, Yun Fu, Tao Mei
Author Topic Model-Based Collaborative Filtering For Personalized Poi Recommendations, Shuhui Jiang, Xueming Qian, Jialie Shen, Yun Fu, Tao Mei
Research Collection School Of Computing and Information Systems
From social media has emerged continuous needs for automatic travel recommendations. Collaborative filtering (CF) is the most well-known approach. However, existing approaches generally suffer from various weaknesses. For example, sparsity can significantly degrade the performance of traditional CF. If a user only visits very few locations, accurate similar user identification becomes very challenging due to lack of sufficient information for effective inference. Moreover, existing recommendation approaches often ignore rich user information like textual descriptions of photos which can reflect users' travel preferences. The topic model (TM) method is an effective way to solve the "sparsity problem," but is still far …
How Motivated Reasoning And Temporal Frames May Polarize Opinions About Wildlife Disease Risk, Sungjong Roh, Katherine A. Mccomas, Laura N. Rickard, Daniel J. Decker
How Motivated Reasoning And Temporal Frames May Polarize Opinions About Wildlife Disease Risk, Sungjong Roh, Katherine A. Mccomas, Laura N. Rickard, Daniel J. Decker
Research Collection Lee Kong Chian School Of Business
We draw from theories of motivated reasoning, dual-processing models, and attribution of responsibility to examine how scientific messages may increase public polarization with respect to emerging risk issues such as Lyme disease. A nationally representative sample of Americans (N = 460) read messages about Lyme disease that varied the framing of responsibility for the prevalence of the disease (human/wildlife vs. wildlife only) and when its effects will occur (today vs. in the next 10 years). The influence of framing was contingent on participants’ partisanship, which resulted in a boomerang effect among Republicans and increased the degree of political polarization regarding …
What Is Public Relations To Society? Toward An Economically Informed Understanding Of Public Relations, Halff, Gregor, Anne Gregory
What Is Public Relations To Society? Toward An Economically Informed Understanding Of Public Relations, Halff, Gregor, Anne Gregory
Research Collection Lee Kong Chian School Of Business
The notion of public relations contributing to the fabric of society is heavily contested in the public sphere and under-researched by the academy. The authors of this paper propose that the study of the relevance of public relations to society can be enlightened by turning to economics. Using information asymmetry as a framework, the argument is that public relations can be analyzed as a social institution that both helps to mitigate market imperfections and consequently increases the efficiency with which society's resources are allocated as well as the chances for more market participants to derive value out of economic transactions. …
Characterizing Silent Users In Social Media Communities, Wei Gong, Ee-Peng Lim, Feida Zhu
Characterizing Silent Users In Social Media Communities, Wei Gong, Ee-Peng Lim, Feida Zhu
Research Collection School Of Computing and Information Systems
Silent users often constitute a significant proportion of an online user-generated content system. In the context of social media such as Twitter, users can opt to be silent all or most of the time. They are often called the invisible participants or lurkers. As lurkers contribute little to the online content, existing analysis often overlooks their presence and voices. However, we argue that understanding lurkers is important in many applications such as recommender systems, targeted advertising, and social sensing. This research therefore seeks to characterize lurkers in social media and propose methods to profile them. We examine 18 weeks of …
Good Intentions To Read On Mobiles Are Not Good Enough; Reducing Barriers To M-Reading Is Crucial, Han Ei Chew, Mark West
Good Intentions To Read On Mobiles Are Not Good Enough; Reducing Barriers To M-Reading Is Crucial, Han Ei Chew, Mark West
Research Collection Office of Impact
Drawing on the analysis of 4330 surveys on mobile reading in seven developing countries, this study found that the discrepancy between intentions to read on mobiles and actual reading can be attributed to barriers such as problematic mobile connectivity and inadequate relevant reading material. The policy implication of this research finding is clear -- reducing barriers specific to mobile reading (m-reading) will improve programme effectiveness. This study applied the technological acceptance model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to the growing adoption of mobile reading in developing countries and partially verified key constructs of …
Breaking The News: First Impressions Matter On Online News, Julio Reis, Fabr´Icio Benevenuto, Pedro Olmo, Raquel Prates, Haewoon Kwak, Jisun An
Breaking The News: First Impressions Matter On Online News, Julio Reis, Fabr´Icio Benevenuto, Pedro Olmo, Raquel Prates, Haewoon Kwak, Jisun An
Research Collection School Of Computing and Information Systems
A growing number of people are changing the way they consume news, replacing the traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity and immediacy present in online news are changing the way news are being produced and exposed by media corporations. News websites have to create effective strategies to catch people’s attention and attract their clicks. In this paper we investigate possible strategies used by online news corporations in the design of their news headlines. We analyze the content of 69,907 headlines produced by four major global media corporations during a minimum of eight …
Social Marketing: Delivering On Passion, Singapore Management University
Social Marketing: Delivering On Passion, Singapore Management University
Perspectives@SMU
Focus on your audience’s desire and motivations, and deliver your product’s unique proposition with every interaction on social media
How To Create Value Like Master Negotiators, Singapore Management University
How To Create Value Like Master Negotiators, Singapore Management University
Perspectives@SMU
Be thoroughly prepared but know when there is no deal
Advertising In The Digital Age, Singapore Management University
Advertising In The Digital Age, Singapore Management University
Perspectives@SMU
Algorithms, big data and real-time computing are revolutionising the advertising industry, but brands still need to be clear about their business objectives to maximise advertising returns
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Research Collection School Of Computing and Information Systems
The vast amount and diversity of the content shared on social media can pose a challenge for any business wanting to use it to identify potential customers. In this paper, our aim is to investigate the use of both unsupervised and supervised learning methods for target audience classification on Twitter with minimal annotation efforts. Topic domains were automatically discovered from contents shared by followers of an account owner using Twitter Latent Dirichlet Allocation (LDA). A Support Vector Machine (SVM) ensemble was then trained using contents from different account owners of the various topic domains identified by Twitter LDA. Experimental results …
Measuring User Influence, Susceptibility And Cynicalness In Sentiment Diffusion, Roy Ka-Wei Lee, Ee Peng Lim
Measuring User Influence, Susceptibility And Cynicalness In Sentiment Diffusion, Roy Ka-Wei Lee, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Diffusion in social networks is an important research topic lately due to massive amount of information shared on social media and Web. As information diffuses, users express sentiments which can affect the sentiments of others. In this paper, we analyze how users reinforce or modify sentiment of one another based on a set of inter-dependent latent user factors as they are engaged in diffusion of event information. We introduce these sentiment-based latent user factors, namely influence, susceptibility and cynicalness. We also propose the ISC model to relate the three factors together and develop an iterative computation approach to …
Multi-Roles Affiliation Model For General User Profiling, Lizi Liao, Heyan Huang, Yashen Wang
Multi-Roles Affiliation Model For General User Profiling, Lizi Liao, Heyan Huang, Yashen Wang
Research Collection School Of Computing and Information Systems
Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.
Review Selection Using Micro-Reviews, Thanh-Son Nguyen, Hady W. Lauw, Panayiotis Tsaparas
Review Selection Using Micro-Reviews, Thanh-Son Nguyen, Hady W. Lauw, Panayiotis Tsaparas
Research Collection School Of Computing and Information Systems
Given the proliferation of review content, and the fact that reviews are highly diverse and often unnecessarily verbose, users frequently face the problem of selecting the appropriate reviews to consume. Micro-reviews are emerging as a new type of online review content in the social media. Micro-reviews are posted by users of check-in services such as Foursquare. They are concise (up to 200 characters long) and highly focused, in contrast to the comprehensive and verbose reviews. In this paper, we propose a novel mining problem, which brings together these two disparate sources of review content. Specifically, we use coverage of micro-reviews …
Chalk And Cheese In Twitter: Discriminating Personal And Organization Accounts, Richard Jayadi Oentaryo, Jia-Wei Low, Ee Peng Lim
Chalk And Cheese In Twitter: Discriminating Personal And Organization Accounts, Richard Jayadi Oentaryo, Jia-Wei Low, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Social media have been popular not only for individuals to share contents, but also for organizations to engage users and spread information. Given the trait differences between personal and organization accounts, the ability to distinguish between the two account types is important for developing better search/recommendation engines, marketing strategies, and information dissemination platforms. However, such task is non-trivial and has not been well studied thus far. In this paper, we present a new generic framework for classifying personal and organization accounts, based upon which comprehensive and systematic investigation on a rich variety of content, social, and temporal features can be …
The Basic Arithmetic Of Legislative Decisions, Michael Laver, Kenneth Benoit
The Basic Arithmetic Of Legislative Decisions, Michael Laver, Kenneth Benoit
Research Collection School of Social Sciences
Despite the huge number of possible seat distributions following a general election in a multiparty parliamentary democracy, there are far fewer classes of seat distribution sharing important strategic features. We define an exclusive and exhaustive partition of the universe of theoretically possible n-party systems into five basic classes, the understanding of which facilitates more fruitful modeling of legislative politics, including government formation. Having defined a partition of legislative party systems and elaborated logical implications of this partition, we classify the population of postwar European legislatures. We show empirically that many of these are close to critical boundary conditions, so that …
Facebook: The Power Of Leverage, Singapore Management University
Facebook: The Power Of Leverage, Singapore Management University
Perspectives@SMU
Entrepreneurs like Suria Mohd have gained a large following of Facebook users that enables her to enjoy a thriving business and celebrity status in Singapore’s television scene. Here’s how.
Prediction Of Venues In Foursquare Using Flipped Topic Models, Wen Haw Chong, Bing Tian Dai, Ee Peng Lim
Prediction Of Venues In Foursquare Using Flipped Topic Models, Wen Haw Chong, Bing Tian Dai, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Foursquare is a highly popular location-based social platform, where users indicate their presence at venues via check-ins and/or provide venue-related tips. On Foursquare, we explore Latent Dirichlet Allocation (LDA) topic models for venue prediction: predict venues that a user is likely to visit, given his history of other visited venues. However we depart from prior works which regard the users as documents and their visited venues as terms. Instead we ‘flip’ LDA models such that we regard venues as documents that attract users, which are now the terms. Flipping is simple and requires no changes to the LDA mechanism. Yet …