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Articles 1321 - 1350 of 1692
Full-Text Articles in Entire DC Network
Working It Out: Migrants’ Perspectives Of Social Inclusion In The Workplace, George Major, Agnes Terraschke, Emily Major, Charlotte Setijadi
Working It Out: Migrants’ Perspectives Of Social Inclusion In The Workplace, George Major, Agnes Terraschke, Emily Major, Charlotte Setijadi
Research Collection School of Social Sciences
This paper explores the concept of social inclusion from the perspective of recent migrants, from language backgrounds other than English, at work in Australia. We adopt an understanding of social inclusion that acknowledges the importance of economic independence, while also considering migrants’ feelings of connectedness at work and their sense of belonging. Based on qualitative interviews with migrants collected two years apart, we explore the ways language and language practices can lead to feelings of inclusion or exclusion at work. The data suggests that migrants who felt included at work often had colleagues and/or bosses who actively supported and encouraged …
Ratings Lead You To The Product, Reviews Help You Clinch It? The Dynamics And Impact Of Online Review Sentiments On Products Sales, Nan Hu, Noi Sian Koh, Srinivas K. Reddy
Ratings Lead You To The Product, Reviews Help You Clinch It? The Dynamics And Impact Of Online Review Sentiments On Products Sales, Nan Hu, Noi Sian Koh, Srinivas K. Reddy
Research Collection Lee Kong Chian School Of Business
It is generally assumed that ratings are a numeric representation of text sentiments and their valences are consistent. This however may not always be true. Using a panel of data on over 4000 books from Amazon.com, we develop a multiple equation model to examine the inter-relationships between ratings, sentiments, and sales. We find that ratings do not have a significant direct impact on sales but have an indirect impact through sentiments. Sentiments, however, have a direct significant impact on sales. Our findings also indicate that the two most accessible types of reviews - most helpful and most recent - play …
Tang Junyi’S Comparative Philosophy And The Spiritual Value Of Chinese Culture, Sor-Hoon Tan
Tang Junyi’S Comparative Philosophy And The Spiritual Value Of Chinese Culture, Sor-Hoon Tan
Research Collection School of Social Sciences
Tang Junyi (1909-1978) engaged in philosophical comparisons very early in his career. He always philosophized from a cultural perspective in his subsequent philosophical reflection on the development of the mind, the philosophy of life, the relation between culture and moral reason, and the spiritual value of Chinese culture.
In Territorio Veritas? Bringing Geographical Coherence Into The Ambiguous Definition Of Geographical Indications Of Origin, Irene Calboli
In Territorio Veritas? Bringing Geographical Coherence Into The Ambiguous Definition Of Geographical Indications Of Origin, Irene Calboli
Research Collection Yong Pung How School Of Law
In this article, I criticize what I call “ambiguous geographical origin” in the concept of geographical indications of origin (GIs) and note that the current definition of GIs in Art. 22(1) of TRIPS essentially misuses, or at least misinterprets, of the terms “geographical origin.” More specifically, I expose the partial inconsistency between the legal definition under TRIPs and the dictionary definition of the terms “geographical” and “origin”. In this respect, I point out that, from a strictly linguistic standpoint, the term “geographical”, in its variation as “geographic”, is defined as “of or relating to geography” and as “belonging to or …
Reading The Tea Leaves In Singapore: Who Will Be Left Holding The Bag For Secondary Trademark Infringement On The Internet, Irene Calboli
Reading The Tea Leaves In Singapore: Who Will Be Left Holding The Bag For Secondary Trademark Infringement On The Internet, Irene Calboli
Research Collection Yong Pung How School Of Law
No abstract provided.
An Institutional Alchemy: India’S Two Parliaments In Comparative Perspective, Shubhankar Dam
An Institutional Alchemy: India’S Two Parliaments In Comparative Perspective, Shubhankar Dam
Research Collection Yong Pung How School Of Law
India has a parliamentary system. But articled in India’s Constitution is a provision that authorizes the President to occasionally enact legislation without involving Parliament. Such presidential legislation are called ordinances, not Acts; and rather than enact, the President promulgates them. Textually, ordinances are bounded by several ‘controls’. They are limited to circumstances when at least one House of Parliament is not in session, and the President is satisfied that the circumstances are such that immediate action is necessary. And without such formal parliamentary approval after a specified duration, they cease to exist. But after sixty years of constitutional practice these …
A Wrong Turn In History: Re-Understanding The Exclusionary Rule Against Prior Negotiations In Contractual Interpretation, Yihan Goh
Research Collection Yong Pung How School Of Law
A reason justifying the exclusionary rule against prior negotiations in the interpretation of contracts is its longevity. Yet, the authorities commonly cited in support of the exclusionary rule are mostly traceable to Lord Wilberforce’s speech in the relatively recent case of Prenn v Simmonds. This article suggests that the law took a wrong turn in that case and caused later courts to support the exclusionary rule by recourse to policy-oriented justifications, instead of principle-based ones. The emphasis on policy-oriented justifications, and the recantation of Prenn v Simmonds as reason enough for the exclusionary rule, support an independent rule against prior …
Dynamic Joint Sentiment-Topic Mode, Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong
Dynamic Joint Sentiment-Topic Mode, Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong
Research Collection School Of Computing and Information Systems
Social media data are produced continuously by a large and uncontrolled number of users. The dynamic nature of such data requires the sentiment and topic analysis model to be also dynamically updated, capturing the most recent language use of sentiments and topics in text. We propose a dynamic Joint Sentiment-Topic model (dJST) which allows the detection and tracking of views of current and recurrent interests and shifts in topic and sentiment. Both topic and sentiment dynamics are captured by assuming that the current sentiment-topic-specific word distributions are generated according to the word distributions at previous epochs. We study three different …
Between Evangelism And Multiculturalism: The Dynamics Of Christianity In Indonesia, Chang Yau Hoon
Between Evangelism And Multiculturalism: The Dynamics Of Christianity In Indonesia, Chang Yau Hoon
Research Collection School of Social Sciences
Christianity has experienced rapid growth in Indonesia, particularly the Evangelical and Pentecostal/Charismatic movements, which find fertile ground among the urban middle class. This phenomenon has given rise to fears of Christianisation among the Muslim majority, who perceive the Christian growth as a moral threat. Tensions between Christians and Muslims have been part and parcel of religious developments in Indonesia. The author addresses the ways in which Protestant churches in Indonesia negotiate between evangelism (to fulfil the ‘Great Commission’) on the one hand, and multiculturalism (peaceful coexistence with difference) on the other. The article will examine how Christians in Indonesia navigate …
Detecting Well-Being Via Computerized Content Analysis Of Brief Diary Entries, William Tov, Kok Leong Ng, Han Lin, Lin Qiu
Detecting Well-Being Via Computerized Content Analysis Of Brief Diary Entries, William Tov, Kok Leong Ng, Han Lin, Lin Qiu
Research Collection School of Social Sciences
Two studies evaluated the correspondence between self-reported well-being and codings of emotion and life content by the Linguistic Inquiry and Word Count (LIWC; Pennebaker, Booth, & Francis, 2011). Open-ended diary responses were collected from 206 participants daily for 3 weeks (Study 1) and from 139 participants twice a week for 8 weeks (Study 2). LIWC negative emotion consistently correlated with self-reported negative emotion. LIWC positive emotion correlated with self-reported positive emotion in Study 1 but not in Study 2. No correlations were observed with global life satisfaction. Using a co-occurrence coding method to combine LIWC emotion codings with life-content codings, …
Factors Influencing Research Contributions And Researcher Interactions In Software Engineering: An Empirical Study, Subhajit Datta, A. S. M. Sajeev, Santonu Sarkar, Nishant Kumar
Factors Influencing Research Contributions And Researcher Interactions In Software Engineering: An Empirical Study, Subhajit Datta, A. S. M. Sajeev, Santonu Sarkar, Nishant Kumar
Research Collection School Of Computing and Information Systems
Research into software engineering (SE) education is largely concentrated on teaching and learning issues in coursework programs. This paper, in contrast, provides a meta analysis of research publications in software engineering to help with research education in SE. Studying publication patterns in a discipline will assist research students and supervisors gain a deeper understanding of how successful research has occurred in the discipline. We present results from a large scale empirical study covering over three and a half decades of software engineering research publications. We identify how different factors of publishing relate to the number of papers published as well …
A Simple Integration Of Social Relationship And Text Data For Identifying Potential Customers In Microblogging, Guansong Pang, Shengyi Jiang, Dongyi Chen
A Simple Integration Of Social Relationship And Text Data For Identifying Potential Customers In Microblogging, Guansong Pang, Shengyi Jiang, Dongyi Chen
Research Collection School Of Computing and Information Systems
Identifying potential customers among a huge number of users in microblogging is a fundamental problem for microblog marketing. One challenge in potential customer detection in microblogging is how to generate an accurate characteristic description for users, i.e., user profile generation. Intuitively, the preference of a user’s friends (i.e., the person followed by the user in microblogging) is of great importance to capture the characteristic of the user. Also, a user’s self-defined tags are often concise and accurate carriers for the user’s interests. In this paper, for identifying potential customers in microblogging, we propose a method to generate user profiles via …
Topicsketch: Real-Time Bursty Topic Detection From Twitter, Wei Xie, Feida Zhu, Jing Jiang, Ee Peng Lim, Ke Wang
Topicsketch: Real-Time Bursty Topic Detection From Twitter, Wei Xie, Feida Zhu, Jing Jiang, Ee Peng Lim, Ke Wang
Research Collection School Of Computing and Information Systems
Twitter has become one of the largest platforms for users around the world to share anything happening around them with friends and beyond. A bursty topic in Twitter is one that triggers a surge of relevant tweets within a short time, which often reflects important events of mass interest. How to leverage Twitter for early detection of bursty topics has therefore become an important research problem with immense practical value. Despite the wealth of research work on topic modeling and analysis in Twitter, it remains a huge challenge to detect bursty topics in real-time. As existing methods can hardly scale …
Why Do I Retweet It? An Information Propagation Model For Microblogs, Fabio Pezzoni, Jisun An, Andrea Passarella, Jon Crowcroft, Marco Conti
Why Do I Retweet It? An Information Propagation Model For Microblogs, Fabio Pezzoni, Jisun An, Andrea Passarella, Jon Crowcroft, Marco Conti
Research Collection School Of Computing and Information Systems
Microblogging platforms are Web 2.0 services that represent a suitable environment for studying how information is propagated in social networks and how users can become influential. In this work we analyse the impact of the network features and of the users' behaviour on the information diffusion. Our analysis highlights a strong relation between the level of visibility of a message in the flow of information seen by a user and the probability that the user further disseminates the message. In addition, we also highlight the existence of other latent factors that impact on the dissemination probability, correlated with the properties …
Social Informatics, Adam Jatowt, Ee-Peng Lim, Ying Ding, Asako Miura, Taro Tezuka, Gael Dias, Katsumi Tanaka, Andrew J. Flanagin, Bing Tian Dai
Social Informatics, Adam Jatowt, Ee-Peng Lim, Ying Ding, Asako Miura, Taro Tezuka, Gael Dias, Katsumi Tanaka, Andrew J. Flanagin, Bing Tian Dai
Research Collection School Of Computing and Information Systems
This book constitutes the proceedings of the 5th International Conference on Social Informatics, SocInfo 2013, held in Kyoto, Japan, in November 2013. The 23 full papers, 15 short papers, and three poster papers included in this volume were carefully reviewed and selected from 103 submissions. The papers present original research work on studying the interplay between socially-centric platforms and social phenomena.
Social Sensing For Urban Crisis Management: The Case Of Singapore Haze, Philips Kokoh Prasetyo, Ming Gao, Ee Peng Lim, Christie N. Scollon
Social Sensing For Urban Crisis Management: The Case Of Singapore Haze, Philips Kokoh Prasetyo, Ming Gao, Ee Peng Lim, Christie N. Scollon
Research Collection School Of Computing and Information Systems
Sensing social media for trends and events has become possible as increasing number of users rely on social media to share information. In the event of a major disaster or social event, one can therefore study the event quickly by gathering and analyzing social media data. One can also design appropriate responses such as allocating resources to the affected areas, sharing event related information, and managing public anxiety. Past research on social event studies using social media often focused on one type of data analysis (e.g., hashtag clusters, diffusion of events, influential users, etc.) on a single social media data …
Predicting User's Political Party Using Ideological Stances, Swapna Gottopati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang
Predicting User's Political Party Using Ideological Stances, Swapna Gottopati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang
Research Collection School Of Computing and Information Systems
Predicting users political party in social media has important impacts on many real world applications such as targeted advertising, recommendation and personalization. Several political research studies on it indicate that political parties’ ideological beliefs on sociopolitical issues may influence the users political leaning. In our work, we exploit users’ ideological stances on controversial issues to predict political party of online users. We propose a collaborative filtering approach to solve the data sparsity problem of users stances on ideological topics and apply clustering method to group the users with the same party. We evaluated several state-of-the-art methods for party prediction task …
Second Order Online Collaborative Filtering, Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao
Second Order Online Collaborative Filtering, Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao
Research Collection School Of Computing and Information Systems
Collaborative Filtering (CF) is one of the most successful learning techniques in building real-world recommender systems. Traditional CF algorithms are often based on batch machine learning methods which suffer from several critical drawbacks, e.g., extremely expensive model retraining cost whenever new samples arrive, unable to capture the latest change of user preferences over time, and high cost and slow reaction to new users or products extension. Such limitations make batch learning based CF methods unsuitable for real-world online applications where data often arrives sequentially and user preferences may change dynamically and rapidly. To address these limitations, we investigate online collaborative …
Multicultural Citizenship Education In Indonesia: The Case Of A Chinese Christian School, Chang Yau Hoon
Multicultural Citizenship Education In Indonesia: The Case Of A Chinese Christian School, Chang Yau Hoon
Research Collection School of Social Sciences
This study investigates how multicultural citizenship education is taught in a Chinese Christian school in Jakarta, where multiculturalism is not a natural experience. Schoolyard ethnographic research was deployed to explore the reality of a ‘double minority’ — Chinese Christians — and how the citizenship of this marginal group is constructed and contested in national, school, and familial discourses. The article argues that it is necessary for schools to actively implement multicultural citizenship education in order to create a new generation of young adults who are empowered, tolerant, active, participatory citizens of Indonesia. As schools are a microcosm of the nation-state, …
Automated Library Recommendation, Ferdian Thung, David Lo, Julia Lawall
Automated Library Recommendation, Ferdian Thung, David Lo, Julia Lawall
Research Collection School Of Computing and Information Systems
Many third party libraries are available to be downloaded and used. Using such libraries can reduce development time and make the developed software more reliable. However, developers are often unaware of suitable libraries to be used for their projects and thus they miss out on these benefits. To help developers better take advantage of the available libraries, we propose a new technique that automatically recommends libraries to developers. Our technique takes as input the set of libraries that an application currently uses, and recommends other libraries that are likely to be relevant. We follow a hybrid approach that combines association …
A Unified Model For Topics, Events And Users On Twitter, Qiming Diao, Jing Jiang
A Unified Model For Topics, Events And Users On Twitter, Qiming Diao, Jing Jiang
Research Collection School Of Computing and Information Systems
With the rapid growth of social media, Twitter has become one of the most widely adopted platforms for people to post short and instant message. On the one hand, people tweets about their daily lives, and on the other hand, when major events happen, people also follow and tweet about them. Moreover, people’s posting behaviors on events are often closely tied to their personal interests. In this paper, we try to model topics, events and users on Twitter in a unified way. We propose a model which combines an LDA-like topic model and the Recurrent Chinese Restaurant Process to capture …
Modeling Interaction Features For Debate Side Clustering, Minghui Qiu, Liu Yang, Jing Jiang
Modeling Interaction Features For Debate Side Clustering, Minghui Qiu, Liu Yang, Jing Jiang
Research Collection School Of Computing and Information Systems
Online discussion forums are popular social media platforms for users to express their opinions and discuss controversial issues with each other. To automatically identify the sides/stances of posts or users from textual content in forums is an important task to help mine online opinions. To tackle the task, it is important to exploit user posts that implicitly contain support and dispute (interaction) information. The challenge we face is how to mine such interaction information from the content of posts and how to use them to help identify stances. This paper proposes a two-stage solution based on latent variable models: an …
Annotation For Free: Video Tagging By Mining User Search Behavior, Yao Ting, Tao Mei, Chong-Wah Ngo, Shipeng Li
Annotation For Free: Video Tagging By Mining User Search Behavior, Yao Ting, Tao Mei, Chong-Wah Ngo, Shipeng Li
Research Collection School Of Computing and Information Systems
The problem of tagging is mostly considered from the perspectives of machine learning and data-driven philosophy. A fundamental issue that underlies the success of these approaches is the visual similarity, ranging from the nearest neighbor search to manifold learning, to identify similar instances of an example for tag completion. The need to searching for millions of visual examples in high-dimensional feature space, however, makes the task computationally expensive. Moreover, the results can suffer from robustness problem, when the underlying data, such as online videos, are rich of semantics and the similarity is difficult to be learnt from low-level features. This …
Asean: Integration, Internal Dynamics And External Relations, Clara Portela
Asean: Integration, Internal Dynamics And External Relations, Clara Portela
Research Collection School of Social Sciences
Throughout its evolution, ASEAN has consistently maintained its attachment to the full respect of national sovereignty and the principle of non-interference in internal affairs, which translates into consensual decision-making, political rather than legally-binding agreements and the lack of sanctions for non-compliance. A major breakthrough in terms of institutionalisation came about with the signing of the ASEAN Charter of 2007, which has enhanced ASEAN’s standing as a rule-based organisation and approximated it somewhat to structures typical of the EU. Unfortunately, the persistence of consensual decision-making and non-confrontational habits has slowed down some of ASEAN’s integration projects and hindered the development of …
Alternative Predictors For Dealing With The Diversity-Validity Dilemma In Personnel Selection: The Constructed Response Multimedia Test, Britt De Soete, Filip Lievens, Janneke Oostrom, Lena Westerveld
Alternative Predictors For Dealing With The Diversity-Validity Dilemma In Personnel Selection: The Constructed Response Multimedia Test, Britt De Soete, Filip Lievens, Janneke Oostrom, Lena Westerveld
Research Collection Lee Kong Chian School Of Business
In the context of the diversity-validity dilemma in personnel selection, the present field study compared ethnic subgroup differences on an innovative constructed response multimedia test to other commonly used selection instruments. Applicants (N=245, 27% ethnic minorities) for entry-level police jobs completed a constructed response multimedia test, cognitive ability test, language proficiency test, personality inventory, structured interview, and role play. Results demonstrated minor ethnic subgroup differences on constructed response multimedia test scores as compared to other instruments. Constructed response multimedia test scores were related to the selection decision, and no evidence for predictive bias was found. Subgroup differences were also examined …
Learning Spatio-Temporal Co-Occurrence Correlograms For Efficient Human Action Classification, Qianru Sun, Hong Liu
Learning Spatio-Temporal Co-Occurrence Correlograms For Efficient Human Action Classification, Qianru Sun, Hong Liu
Research Collection School Of Computing and Information Systems
Spatio-temporal interest point (STIP) based features show great promises in human action analysis with high efficiency and robustness. However, they typically focus on bag-of-visual words (BoVW), which omits any correlation among words and shows limited discrimination in real-world videos. In this paper, we propose a novel approach to add the spatio-temporal co-occurrence relationships of visual words to BoVW for a richer representation. Rather than assigning a particular scale on videos, we adopt the normalized google-like distance (NGLD) to measure the words' co-occurrence semantics, which grasps the videos' structure information in a statistical way. All pairwise distances in spatial and temporal …
A Spatial Analysis Of The Italian Second Republic, Massimiliano Landi, Ricardo Pelizzo
A Spatial Analysis Of The Italian Second Republic, Massimiliano Landi, Ricardo Pelizzo
Research Collection School Of Economics
The Optimal Classification method is applied to a newly created data set to provide a spatial map of the Italian Second Republic (1996–2008). A bi-dimensional political space was found in the XIII Legislature and virtually a one-dimensional political space in the XIV and XV Legislatures. In addition, the main dimension is explained along the government–opposition dimension rather than on the traditional left–right dimension. During the Second Republic, Italy experienced changes in the electoral system and in the format of parties. The data are used to discuss the implications of either change on the dimensionality space. It was found that the …
An Empirical Study On Uncertainty Identification In Social Media Context, Zhongyu Wei, Junwen Chen, Wei Gao, Binyang Li, Lanjun Zhou, Yulan He, Kam-Fai Wong
An Empirical Study On Uncertainty Identification In Social Media Context, Zhongyu Wei, Junwen Chen, Wei Gao, Binyang Li, Lanjun Zhou, Yulan He, Kam-Fai Wong
Research Collection School Of Computing and Information Systems
Uncertainty text detection is important to many social-media-based applications since more and more users utilize social media platforms (e.g., Twitter, Facebook, etc.) as information source to produce or derive interpretations based on them. However, existing uncertainty cues are ineffective in social media context because of its specific characteristics. In this paper, we propose a variant of annotation scheme for uncertainty identification and construct the first uncertainty corpus based on tweets. We then conduct experiments on the generated tweets corpus to study the effectiveness of different types of features for uncertainty text identification.
Heritage-Culture Images Disrupt Immigrants’ Second-Language Processing Through Triggering First-Language Interference, Shu Zhang, Michael W. Morris, Chi-Ying Cheng, Andy J. Yap
Heritage-Culture Images Disrupt Immigrants’ Second-Language Processing Through Triggering First-Language Interference, Shu Zhang, Michael W. Morris, Chi-Ying Cheng, Andy J. Yap
Research Collection School of Social Sciences
For bicultural individuals, visual cues of a setting’s cultural expectations can activate associated representations, switching the frames that guide their judgments. Research suggests that cultural cues may affect judgments through automatic priming, but has yet to investigate consequences for linguistic performance. The present studies investigate the proposal that heritage-culture cues hinder immigrants’ second-language processing by priming first-language structures. For Chinese immigrants in the United States, speaking to a Chinese (vs. Caucasian) face reduced their English fluency, but at the same time increased their social comfort, effects that did not occur for a comparison group of European Americans (study 1). Similarly, …
A Latent Variable Model For Viewpoint Discovery From Threaded Forum Posts, Minghui Qiu, Jing Jiang
A Latent Variable Model For Viewpoint Discovery From Threaded Forum Posts, Minghui Qiu, Jing Jiang
Research Collection School Of Computing and Information Systems
No abstract provided.