Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Twitter (7)
- Social media (5)
- Clustering (2)
- Collaboration (2)
- Image repair (2)
-
- Information Extraction (2)
- Reputation (2)
- Social network analysis (2)
- Belief (1)
- Blogs (1)
- Broadcast sports (1)
- Collective Memory (1)
- College students (1)
- Community structures (1)
- Conditional Random Fields (1)
- Content contribution (1)
- Context (1)
- Crisis (1)
- Crowd-sourcing (1)
- Cultural Discourse (1)
- David Llewelyn (1)
- Dean (1)
- Defects (1)
- Deputy Dean (1)
- Disclosure (1)
- Diversity (1)
- Dynamic structural model (1)
- Educational institutions (1)
- Emotional well-being (1)
- Emotions (1)
- Publication
- Publication Type
Articles 1 - 30 of 42
Full-Text Articles in Social and Behavioral Sciences
Use Of Rss Feeds To Push The Online Content To Users, Dan Ma
Use Of Rss Feeds To Push The Online Content To Users, Dan Ma
Research Collection School Of Computing and Information Systems
Many websites use Really Simple Syndication (RSS) feeds to actively push their online content to users rather than waiting for users to pull the content passively. In this paper, I construct a theoretical game model to study the profitability of an RSS-PUSH delivery mechanism. The model assumes a general profit structure for websites and heterogeneous users. To access valuable online content, users incur a variety of costs. They choose either to visit the website in the conventional way (the PULL model) or, if it is supported by the website, to use RSS (the PUSH model). Interestingly, I show that although …
A Survey Of Recommender Systems In Twitter, Su Mon Kywe, Ee Peng Lim, Feida Zhu
A Survey Of Recommender Systems In Twitter, Su Mon Kywe, Ee Peng Lim, Feida Zhu
Research Collection School Of Computing and Information Systems
Twitter is a social information network where short messages or tweets are shared among a large number of users through a very simple messaging mechanism. With a population of more than 100M users generating more than 300M tweets each day, Twitter users can be easily overwhelmed by the massive amount of information available and the huge number of people they can interact with. To overcome the above information overload problem, recommender systems can be introduced to help users make the appropriate selection. Researchers have began to study recommendation problems in Twitter but their works usually address individual recommendation tasks. There …
On Recommending Hashtags In Twitter Networks, Su Mon Kywe, Tuan-Anh Hoang, Ee Peng Lim, Feida Zhu
On Recommending Hashtags In Twitter Networks, Su Mon Kywe, Tuan-Anh Hoang, Ee Peng Lim, Feida Zhu
Research Collection School Of Computing and Information Systems
Twitter network is currently overwhelmed by massive amount of tweets generated by its users. To effectively organize and search tweets, users have to depend on appropriate hashtags inserted into tweets. We begin our research on hashtags by first analyzing a Twitter dataset generated by more than 150,000 Singapore users over a three-month period. Among several interesting findings about hashtag usage by this user community, we have found a consistent and significant use of new hashtags on a daily basis. This suggests that most hashtags have very short life span. We further propose a novel hashtag recommendation method based on collaborative …
Community-Based Classification Of Noun Phrases In Twitter, Freddy Chong Tat Chua, William W. Cohen, Justin Betterridge, Ee-Peng Lim
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 …
Finding Thoughtful Comments From Social Media, Gottipati Swapna, Jing Jiang
Finding Thoughtful Comments From Social Media, Gottipati Swapna, Jing Jiang
Research Collection School Of Computing and Information Systems
Online user comments contain valuable user opinions. Comments vary greatly in quality and detecting high quality comments is a subtask of opinion mining and summarization research. Finding attentive comments that provide some reasoning is highly valuable in understanding the user’s opinion particularly in sociopolitical opinion mining and aids policy makers, social organizations or government sectors in decision making. In this paper we study the problem of detecting thoughtful comments. We empirically study various textual features, discourse relations and relevance features to predict thoughtful comments. We use logistic regression model and test on the datasets related to sociopolitical content. We found …
Extracting And Normalizing Entity-Actions From Users' Comments, Swapna Gottipati, Jing Jiang
Extracting And Normalizing Entity-Actions From Users' Comments, Swapna Gottipati, Jing Jiang
Research Collection School Of Computing and Information Systems
With the growing popularity of opinion-rich resources on the Web, new opportunities and challenges arise and aid people in actively using such information to understand the opinions of others. Opinion mining process currently focuses on extracting the sentiments of the users on products, social, political and economical issues. In many instances, users not only express their sentiments but also contribute their ideas, requests and suggestions through comments. Such comments are useful for domain experts and are referred to as actionable content. Extracting actionable knowledge from online social media has attracted a growing interest from both academia and the industry. We …
Cognitive And Social Factors Affecting The Use Of Wikipedia And Information Seeking, Siyoung Chung
Cognitive And Social Factors Affecting The Use Of Wikipedia And Information Seeking, Siyoung Chung
Research Collection Lee Kong Chian School Of Business
Wikipedia, the free online encyclopedia, is the preferred choice among resources used by college students to meet their research needs. However, Wikipedia has been criticized for its low information quality, lack of accountability, inconsistency, and vulnerability to vandalism. Despite the warnings and concerns voiced by academia, online learning tools such as Wikipedia will continue their rise as major learning resource in today's classroom. Using a sample of 184 college students, the study proposed theoretical models to test the effects of internal beliefs, motivations, and social influences on Wikipedia use and information-seeking, and further empirically tested those models. The findings of …
Us Presidential Election 2012 Prediction Using Census Corrected Twitter Model, Junyu Choy, Michelle L. F. Cheong, Nang Laik Ma, Ping Shung Koo
Us Presidential Election 2012 Prediction Using Census Corrected Twitter Model, Junyu Choy, Michelle L. F. Cheong, Nang Laik Ma, Ping Shung Koo
Research Collection School Of Computing and Information Systems
US Presidential Election 2012 has been a very tight race between the two key candidates. Therewere intense battle between the two key candidates. The election reflects the sentiment of theelectorate towards the achievements of the incumbent President Obama. The campaign lastedseveral months and the effects can be felt in the internet and twitter. The presidential debatesinjected new vigor in the challenger's campaign and successfully captured the electorate of severalstates posing a threat to the incumbent's position. Much of the sentiment in the election has beencaptured in the online discussions. In this paper, we will be using the original model described …
Influentials, Novelty, And Social Contagion: The Viral Power Of Average Friends, Close Communities, And Old News, Nicholas Harrigan, Palakorn Achananuparp, Ee Peng Lim
Influentials, Novelty, And Social Contagion: The Viral Power Of Average Friends, Close Communities, And Old News, Nicholas Harrigan, Palakorn Achananuparp, Ee Peng Lim
Research Collection School Of Computing and Information Systems
What is the effect of (1) popular individuals, and (2) community structures on the retransmission of socially contagious behavior? We examine a community of Twitter users over a five month period, operationalizing social contagion as ‘retweeting’, and social structure as the count of subgraphs (small patterns of ties and nodes) between users in the follower/following network. We find that popular individuals act as ‘inefficient hubs’ for social contagion: they have limited attention, are overloaded with inputs, and therefore display limited responsiveness to viral messages. We argue this contradicts the ‘law of the few’ and ‘influentials hypothesis’. We find that community …
Talk Versus Work: Characteristics Of Developer Collaboration On The Jazz Platform, Subhajit Datta, Renuka Sindhgatta, Bikram Sengupta
Talk Versus Work: Characteristics Of Developer Collaboration On The Jazz Platform, Subhajit Datta, Renuka Sindhgatta, Bikram Sengupta
Research Collection School Of Computing and Information Systems
IBM's Jazz initiative offers a state-of-the-art collaborative development environment (CDE) facilitating developer interactions around interdependent units of work. In this paper, we analyze development data across two versions of a major IBM product developed on the Jazz platform, covering in total 19 months of development activity, including 17,000+ work items and 61,000+ comments made by more than 190 developers in 35 locations. By examining the relation between developer talk and work, we find evidence that developers maintain a reasonably high level of connectivity with peer developers with whom they share work dependencies, but the span of a developer's communication goes …
Putting Their Best Foot Forward: Emotional Disclosure On Facebook, Lin Qiu, Han Lin, Angela K. Y. Leung, William Tov
Putting Their Best Foot Forward: Emotional Disclosure On Facebook, Lin Qiu, Han Lin, Angela K. Y. Leung, William Tov
Research Collection School of Social Sciences
Facebook has become a widely used online self-representation and communication platform. In this research, we focus on emotional disclosure on Facebook. We conducted two studies, and results from both self-report and observer rating show that individuals are more likely to express positive relative to negative emotions and present better emotional well-being on Facebook than in real life. Our study is the first to demonstrate impression management on Facebook through emotional disclosure. We discuss important theoretical and practical implications of our study.
A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang
A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang
Research Collection School Of Computing and Information Systems
Many web applications today thrive on offering services for large-scale multimedia data, e.g., Flickr for photos and YouTube for videos. However, these data, while rich in content, are usually sparse in textual descriptive information. For example, a video clip is often associated with only a few tags. Moreover, the textual descriptions are often overly specific to the video content. Such characteristics make it very challenging to discover topics at a satisfactory granularity on this kind of data. In this paper, we propose a generative probabilistic model named Preference-Topic Model (PTM) to introduce the dimension of user preferences to enhance the …
Content Contribution For Revenue Sharing And Reputation: A Dynamic Structural Model, Qian Tang, Bin Gu, Andrew B. Whinston
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 …
Observatory Of Trends In Software Related Microblogs, Achananuparp Palakorn, Nelman Lubis Ibrahim, Yuan Tian, David Lo, Ee Peng Lim
Observatory Of Trends In Software Related Microblogs, Achananuparp Palakorn, Nelman Lubis Ibrahim, Yuan Tian, David Lo, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Microblogging has recently become a popular means to disseminate information among millions of people. Interestingly, software developers also use microblog to communicate with one another. Different from traditional media, microblog users tend to focus on recency and informality of content. Many tweet contents are relatively more personal and Opinionated, compared to that of traditional news report. Thus, by analyzing microblogs, one could get the up-to-date information about what people are interested in or feel toward a particular topic. In this paper, we describe our microblog observatory that aggregates more than 70,000 Twitter feeds, captures software-related tweets, and computes trends from …
Automatic Classification Of Software Related Microblogs, Philips Kokoh Prasetyo, David Lo, Achananuparp Palakorn, Yuan Tian, Ee Peng Lim
Automatic Classification Of Software Related Microblogs, Philips Kokoh Prasetyo, David Lo, Achananuparp Palakorn, Yuan Tian, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Millions of people, including those in the software engineering communities have turned to microblogging services, such as Twitter, as a means to quickly disseminate information. A number of past studies by Treude et al., Storey, and Yuan et al. have shown that a wealth of interesting information is stored in these microblogs. However, microblogs also contain a large amount of noisy content that are less relevant to software developers in engineering software systems. In this work, we perform a preliminary study to investigate the feasibility of automatic classification of microblogs into two categories: relevant and irrelevant to engineering software systems. …
Lope De Aguirre, The Tyrant, And The Prince: Convergence And Divergence In Postcolonial Collective Memory, Jennifer Kate Estava Davis
Lope De Aguirre, The Tyrant, And The Prince: Convergence And Divergence In Postcolonial Collective Memory, Jennifer Kate Estava Davis
Research Collection Centre for English Communication
In Latin America, collective remembering is shaped by stories of colonizers whose voracious ambitions left an indelible mark on the landscape and its people. This essay examines a set of narratives about a legendary colonizer, Lope de Aguirre, that continue to be invoked in the collective imagination on the island of Margarita, in Venezuela. Drawing on Bormann’s Symbolic Convergence Theory and Bakhtin’s work on cultural discourse, this analysis shows that on the one hand, the narratives converge to support official records of Aguirre as an archetype of colonial brutality. Yet on the other, alternate versions of the stories reveal a …
Finding Bursty Topics From Microblogs, Qiming Diao, Jing Jiang, Feida Zhu, Ee Peng Lim
Finding Bursty Topics From Microblogs, Qiming Diao, Jing Jiang, Feida Zhu, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Although bursty event detection from text streams has been studied before, previous work may not be suitable for microblogs because compared with other text streams such as news articles and scientific publications, microblog posts are particularly diverse and noisy. To find topics that have bursty patterns on microblogs, we propose a topic model that simultaneousy captures two observations: (1) posts published around the same time are more likely to have the same topic, and (2) …
Detecting Anomalous Twitter Users By Extreme Group Behaviors, Hanbo Dai, Ee-Peng Lim, Feida Zhu, Hwee Hwa Pang
Detecting Anomalous Twitter Users By Extreme Group Behaviors, Hanbo Dai, Ee-Peng Lim, Feida Zhu, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
Twitter has enjoyed tremendous popularity in the recent years. To help categorizing and search tweets, Twitter users assign hashtags to their tweets. Given that hashtag assignment is the primary way to semantically categorizing and search tweets, it is highly susceptible to abuse by spammers and other anomalous users [1]. Popular hashtags such as #Obama and #ladygaga could be hijacked by having them added to unrelated tweets with the intent of misleading many other users or promoting specific agenda to the users. The users performing this act are known as the hashtag hijackers. As the hijackers usually abuse common sets of …
Topic Discovery From Tweet Replies, Bingtian Dai, Ee Peng Lim, Philips Kokoh Prasetyo
Topic Discovery From Tweet Replies, Bingtian Dai, Ee Peng Lim, Philips Kokoh Prasetyo
Research Collection School Of Computing and Information Systems
Twitter is a popular online social information network service which allows people to read and post messages up to 140 characters, known as “tweets”. In this paper, we focus on the tweets between pairs of individuals, i.e., the tweet replies, and propose a generative model to discover topics among groups of twitter users. Our model has then been evaluated with a tweet dataset to show its effectiveness.
Negotiating Crisis In The New Media Environment: Evolution Of Crises Online, Gaining Legitimacy Offline, Augustine Pang, Nasrath Begam Binte Abul Hassan, Aaron Chee Yang Chong
Negotiating Crisis In The New Media Environment: Evolution Of Crises Online, Gaining Legitimacy Offline, Augustine Pang, Nasrath Begam Binte Abul Hassan, Aaron Chee Yang Chong
Research Collection Lee Kong Chian School Of Business
This study examines how crises originate online, how different new media platforms escalate crises, and how issues become legitimized offline when they transit onto mainstream media. We study five social media crises, which includes United breaks guitars and Southwest Air’s too fat to fly. Crises are triggered online when stakeholders are empowered by new media platforms that allow user-generated content to be posted online without any filtering. Facebook, YouTube and Twitter emerge as top crises breeding grounds due to their large user base and the lack of gatekeeping. Facebook and blogs are responsible for escalating crises beyond the immediate stakeholder …
Visualizing Media Bias Through Twitter, Jisun An, Meeyoung Cha, Gummadi, Krishna, Jon Crowcroft, Daniele Queria
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 …
When A Friend In Twitter Is A Friend In Life, Wei Xie, Cheng Li, Feida Zhu, Ee-Peng Lim, Xueqing Gong
When A Friend In Twitter Is A Friend In Life, Wei Xie, Cheng Li, Feida Zhu, Ee-Peng Lim, Xueqing Gong
Research Collection School Of Computing and Information Systems
Twitter is a fast-growing online social network service (SNS) where users can "follow" any other user to receive his or her mini-blogs which are called "tweets". In this paper, we study the problem of identifying a user's off-line real-life social community, which we call the user'sTwitter off-line community, purely from examining Twitter network structure. Based on observations from our user-verified Twitter data and results from previous works, we propose three principles about Twitter off-line communities. Incorporating these principles, we develop a novel algorithm to iteratively discover the Twitter off-line community based on a new way of measuring user closeness. According …
Corporate Image Vacuum: Nature, Characteristics And Implications For The Organization, Noraizah Zainal Abidin, Augustine Pang
Corporate Image Vacuum: Nature, Characteristics And Implications For The Organization, Noraizah Zainal Abidin, Augustine Pang
Research Collection Lee Kong Chian School Of Business
A good corporate image is important to organizations (Benoit & Pang, 2008). Even then, some organizations do not have one (Bernstein, 1984/1989; Walker, 2010). Arguably the first study to explicate the notion of corporate image vacuum through the development of the Corporate Image Grid Framework, this study examines how an image vacuum is generated and what organizations can do to fill it. The framework offers a systematic way of assessing an organization’s image to heighten practitioners’ awareness of image management of their organizations. Four organizations drawn from Fortune 2011 list of 50 most admired organizations are studied: Singapore Airlines, Google, …
Negotiating Crisis In The New Media Environment: Evolution Of Crises Online, Gaining Legitimacy Offline, Augustine Pang, Nasrath Begam Abul Hassan, Aaron Chee Yang Chong
Negotiating Crisis In The New Media Environment: Evolution Of Crises Online, Gaining Legitimacy Offline, Augustine Pang, Nasrath Begam Abul Hassan, Aaron Chee Yang Chong
Research Collection Lee Kong Chian School Of Business
This study examines how crises originate online, how different new media platforms escalate crises, and how issues become legitimized offline when they transit onto mainstream media. We study five social media crises, which includes United breaks guitars and Southwest Air’s too fat to fly. Crises are triggered online when stakeholders are empowered by new media platforms that allow user-generated content to be posted online without any filtering. Facebook, YouTube and Twitter emerge as top crises breeding grounds due to their large user base and the lack of gatekeeping. Facebook and blogs are responsible for escalating crises beyond the immediate stakeholder …
Repairing An Organization’S Image In Times Of Crises: What Strategies To Use When?, Augustine Pang, Benjamin Meng-Keng Ho, Nuraini Malik
Repairing An Organization’S Image In Times Of Crises: What Strategies To Use When?, Augustine Pang, Benjamin Meng-Keng Ho, Nuraini Malik
Research Collection Lee Kong Chian School Of Business
The image repair theory has been described as the “dominant paradigm for examining corporate communication in times of crises” (Dardis & Haigh, 2009, p. 101). While the theory, which posits five major strategies and 14 sub-strategies, has been applied extensively, a fundamental question remains: What strategies should be used when? Through meta-analysis of the image repair studies, we examine the persuasiveness/effectiveness in the use of different strategies. This study addresses the call by Haigh and Brubaker (2010) to conduct more studies to understand the use of strategies across different crisis types with a view to providing a template to equip …
What Does Software Engineering Community Microblog About?, Yuan Tian, Palakorn Achananuparp, Ibrahim Nelman Lubis, David Lo, Ee Peng Lim
What Does Software Engineering Community Microblog About?, Yuan Tian, Palakorn Achananuparp, Ibrahim Nelman Lubis, David Lo, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Microblogging is a new trend to communicate and to disseminate information. One microblog post could potentially reach millions of users. Millions of microblogs are generated on a daily basis on popular sites such as Twitter. The popularity of microblogging among programmers, software engineers, and software users has also led to their use of microblogs to communicate software engineering issues apart from using emails and other traditional communication channels.Understanding how millions of users use microblogs in software engineering related activities would shed light on ways we could leverage the fast evolving microblogging content to aid software development efforts. In this work, …
Twitter: High On Celebrity Gossip, Low On News Discussion, Singapore Management University
Twitter: High On Celebrity Gossip, Low On News Discussion, Singapore Management University
Perspectives@SMU
Twitter is regarded as a highly popular platform for online communications. It was said to have played a role in facilitating – 140 characters at a time – social movements that supported key events such as the Arab Spring. And because Twitter messages (or 'tweets' as they are called) are compact and quickly transmitted, they are widely used to spread and share breaking news, personal updates and spontaneous ideas.
#Epicplay: Crowd-Sourcing Sports Video Highlights, Anthony Tang, Sebastian Boring
#Epicplay: Crowd-Sourcing Sports Video Highlights, Anthony Tang, Sebastian Boring
Research Collection School Of Computing and Information Systems
During a live sports event, many sports fans use social media as a part of their viewing experience, reporting on their thoughts on the event as it unfolds. In this work, we use this information stream to semantically annotate live broadcast sports games, using these annotations to select video highlights from the game. We demonstrate that this approach can be used to select highlights specific for fans of each team, and that these clips reflect the emotions of a fan during a game. Further, we describe how these clips differ from those seen on nightly sportscasts.
Battle For Undecided Voters In Hougang, Tan K. B. Eugene
Battle For Undecided Voters In Hougang, Tan K. B. Eugene
Research Collection Yong Pung How School Of Law
SMU Assistant Professor and NMP Eugene Tan commented on the battle for undecided voters in Hougang prior to the by-election this Saturday. He wrote that the political stakes are not so high in this by-election. Although the WP has more to lose this round, the stakes are calibrated differently in their first head-to-head contest since GE2011, and the parties must remember that this by-election is but a "battle" only. Instead, the PAP and WP would do well to stay focused on acquitting themselves well in the long haul before the next General Election. The priority for both parties is to …
Both Sides Will Need To Raise Their Game, Tan K. B. Eugene
Both Sides Will Need To Raise Their Game, Tan K. B. Eugene
Research Collection Yong Pung How School Of Law
Now that the Hougang by-election is over, the Workers' Party (WP) and the People's Action Party (PAP) will conduct their post-mortems. SMU Assistant Professor Eugene Tan wrote that ?Among the key questions would be how they campaigned and how they can deal with the issues that the hustings threw up. For the WP, how can it keep Hougang in its fold and grow the famed "Hougang Spirit"? How can it be less reliant on its charismatic leader Low Thia Khiang? For the PAP, how can it make significant gains and be more competitive in Hougang?? He concludes that what the …