Communication Commons^™

Socially-Enriched Multimedia Data Co-Clustering, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Heterogeneous data co-clustering is a commonly used technique for tapping the rich meta-information of multimedia web documents, including category, annotation, and description, for associative discovery. However, most co-clustering methods proposed for heterogeneous data do not consider the representation problem of short and noisy text and their performance is limited by the empirical weighting of the multimodal features. This chapter explains how to use the Generalized Heterogeneous Fusion Adaptive Resonance Theory (GHF-ART) generalized heterogeneous fusion adaptive resonance theory for clustering large-scale web multimedia documents. Specifically, GHF-ART is designed to handle multimedia data with an arbitrarily rich level of meta-information. For handling …

Dumbing Down?: Trends In The Complexity Of Political Communication, Kenneth Benoit, Kevin Munger, Arthur Spirling

Research Collection School of Social Sciences

Commentators and some political scholars claim to have observed a “dumbing down” in the level of sophistication of political language, leading to anxiety over the quality of democratic deliberation, knowledge, policy design, and implementation. This work typically focuses on the president’s State of the Union addresses. Using quantitative indicators of textual complexity, we measure trends since 1790 in that and other key political corpora, including rulings of the Supreme Court, the Congressional Record, and presidential executive orders. To draw comparative lessons, we also study political texts from the United Kingdom, in the form of party broadcasts and manifestos. Not only …

Mobilising Dissent In A Digital Age: The Curious Case Of Amos Yee, Orlando Woods

Research Collection School of Social Sciences

Political containers frame opinions. They play a formative role in establishing the terms ofinterpretation, in distinguishing between assent and dissent, and in determining the extent towhich dissent is publicly tolerated. Whilst it is by now widely acknowledged that the powerand influence of political containers has been relativised by interconnection, the effects ofmoving within and between containers – and thus mediating between different framings ofopinion – is undertheorised. Also, the enabling role of digital media in disseminating dissent,and in bringing about disproportionate reach and impact, remains understudied. Addressingthese lacunae, this paper explores the ways in which dissent can be reproduced, reframed, …

Personalized Web Image Organization, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

Due to the problem of semantic gap, i.e. the visual content of an image may not represent its semantics well, existing efforts on web image organization usually transform this task to clustering the surrounding text. However, because the surrounding text is usually short and the words therein usually appear only once, existing text clustering algorithms can hardly use the statistical information for image representation and may achieve downgraded performance with higher computational cost caused by learning from noisy tags. This chapter presents using the Probabilistic ART with user preference architecture, as introduced in Sects. 3.5 and 3.4, for personalized web …

Online Multimodal Co-Indexing And Retrieval Of Social Media Data, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

Effective indexing of social media data is key to searching for information on the social Web. However, the characteristics of social media data make it a challenging task. The large-scale and streaming nature is the first challenge, which requires the indexing algorithm to be able to efficiently update the indexing structure when receiving data streams. The second challenge is utilizing the rich meta-information of social media data for a better evaluation of the similarity between data objects and for a more semantically meaningful indexing of the data, which may allow the users to search for them using the different types …

Adaptive Resonance Theory (Art) For Social Media Analytics, Lei Meng, Ah-Hwee Tan, Donald C. Ii Wunsch

Research Collection School Of Computing and Information Systems

The last decade has witnessed how social media in the era of Web 2.0 reshapes the way people communicate, interact, and entertain in daily life and incubates the prosperity of various user-centric platforms, such as social networking, question answering, massive open online courses (MOOC), and e-commerce platforms. The available rich user-generated multimedia data on the web has evolved traditional ways of understanding multimedia research and has led to numerous emerging topics on human-centric analytics and services, such as user profiling, social network mining, crowd behavior analysis, and personalized recommendation. Clustering, as an important tool for mining information groups and in-group …

Artificial Intelligence, Real Concerns…And Cash, Singapore Management University

Perspectives@SMU

Regulating development of self-aware robots is crucial. Data privacy is key to user-app power dynamic

Maximizing Multifaceted Network Influence, Yuchen Li, Ju Fan, George V. Ovchinnikov, Panagiotis Karras

Research Collection School Of Computing and Information Systems

An information dissemination campaign is often multifaceted, involving several facets or pieces of information disseminating from different sources. The question then arises, how should we assign such pieces to eligible sources so as to achieve the best viral dissemination results? Past research has studied the problem of Influence Maximization (IM), which is to select a set of k promoters that maximizes the expected reach of a message over a network. However, in this classical IM problem, each promoter spreads out the same unitary piece of information. In this paper, we propose the Optimal Influential Pieces Assignment (OIPA) problem, which is …

Twitter Ceo’S Life And Business Lessons, Singapore Management University

Perspectives@SMU

Jack Dorsey on unexpected innovations, social media echo chambers, and the power of ‘why?’

Gender, Emotional Displays And Negotiation Outcomes, Horacio Arruda Falcao Filho

Dissertations and Theses Collection (Open Access)

This paper examined whether positive and negative emotional displays influenced negotiation outcomes (value creation and claiming) differentially for female and male negotiators. Also considered was how negotiation dyad gender composition might affect value creation and claiming. I examined recordings from a negotiation exercise (N = 194). Results revealed that when females expressed negative emotions significantly reduced value claiming on the part of those female negotiators. However, the effects of expressing positive emotions on negotiation outcomes did not vary by negotiator gender. The findings suggest that female negotiators do not need to be positive but only need not be negative to …

Fine-Grained Geolocation Of Tweets In Temporal Proximity, Wen Haw Chong, Ee Peng Lim

Research Collection School Of Computing and Information Systems

In fine-grained tweet geolocation, tweets are linked to the specific venues (e.g., restaurants, shops) fromwhich they were posted. This explicitly recovers the venue context that is essential for applications such aslocation-based advertising or user profiling. For this geolocation task, we focus on geolocating tweets that arecontained in tweet sequences. In a tweet sequence, tweets are posted from some latent venue(s) by the sameuser and within a short time interval. This scenario arises from two observations: (1) It is quite common thatusers post multiple tweets in a short time and (2) most tweets are not geocoded. To more accurately geolocatea tweet, …

Evolution Of Corporate Reputation During An Evolving Controversy, Siyoung Chung, Mark Chong, Jie Sheng Chua, Ji Cheon Na

Research Collection Lee Kong Chian School Of Business

Purpose: The purpose of this paper is to investigate the evolution of online sentiments toward a company (i.e. Chipotle) during a crisis, and the effects of corporate apology on those sentiments. Design/methodology/approach: Using a very large data set of tweets (i.e. over 2.6m) about Company A’s food poisoning case (2015–2016). This case was selected because it is widely known, drew attention from various stakeholders and had many dynamics (e.g. multiple outbreaks, and across different locations). This study employed a supervised machine learning approach. Its sentiment polarity classification and relevance classification consisted of five steps: sampling, labeling, tokenization, augmentation of semantic …

Discrete Social Recommendation, Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Social recommendation, which aims at improving the performance of traditional recommender systems by considering social information, has attracted broad range of interests. As one of the most widely used methods, matrix factorization typically uses continuous vectors to represent user/item latent features. However, the large volume of user/item latent features results in expensive storage and computation cost, particularly on terminal user devices where the computation resource to operate model is very limited. Thus when taking extra social information into account, precisely extracting K most relevant items for a given user from massive candidates tends to consume even more time and memory, …

Social Media Mining For Journalism, Arkaitz Zubiaga, Bahareh Heravi, Jisun An, Haewoon Kwak

Research Collection School Of Computing and Information Systems

The exponential growth of social media as a central communication practice, and its agility in capturing and announcing breaking news events more rapidly than traditional media, has changed the journalistic landscape: social media has been adopted as a significant source by professional journalists, and conversely, citizens are able to use social media as a form of direct reportage. This brings along new opportunities for newsrooms and journalists by providing new means for newsgathering through access to a wealth of citizen reportage and updates about current affairs, as well as an additional showcase for news dissemination.

Commentary: Influence Of Smartphone Addiction Proneness Of Young Children On Problematic Behaviors And Emotional Intelligence: Mediating Self-Assessment Effects Of Parents Using Smartphones, Qin Ying Joanne Tan, Andree Hartanto, Wei Xing Toh, Hwajin Yang

Research Collection School of Social Sciences

The majority of studies on smartphone addiction have focused on adults and school-aged children or youth (e.g., Hartanto and Yang, 2016; Chung et al., 2018; Lee et al., 2018); few have investigated the impact of smartphone overuse during infancy and early childhood. Recently, Cho and Lee (2017) surveyed parents of children aged one to six and attempted to address this research gap in their article entitled “Influence of smartphone addiction proneness of young children on problematic behaviors and emotional intelligence: Mediating self-assessment effects of parents using smartphones.” Although the results are interesting, we would caution that they are preliminary because …

Communicating In The Post‐Truth Era: Analyses Of Crisis Response Strategies Of Presidents Donald Trump And Rodrigo Duterte, Natasha Binte Mohamed Ismail, Marie Angeline Pagulayan, Carlo Miguel Alfonso Francia, Augustine Pang

Research Collection Lee Kong Chian School Of Business

The rhetoric of then U.S. President‐elect Donald Trump and Philippines' President Rodrigo Duterte had triggered a shift in global political discourse (Greene, 2016). This study examines their responses on three similar crises: disrespectful remarks towards women, associations with controversial political figures, and remarks threatening geopolitical relations. Data from prestige publications, Washington Post (U.S.) and the Philippine Daily Inquirer, were analyzed during the acute stage of each crisis. Findings showed that both men employed confusing strategy combinations in their crisis responses. Despite incoherent application and contradictory strategies, they survived threats to their image as evidenced by poll results. New strategies (diversion …

Perceived Influence Of Proenvironmental Testimonials, Sonny Rosenthal, Michael Field Dahlstrom

Research Collection College of Integrative Studies

Recommendations for communicators to make environmental issues more concrete in public align with the tenets of exemplification theory. Audiences may also engage with messages that they perceive as influencing them more than others, an outcome that aligns with the third-person effects framework. What is not well known is how these two areas of research intersect, namely, how exemplars about environmental issues may impact perceived message influence on the self-relative to others. This study examines the effects of testimonials on the perceived influence of environmental messages. Two experiments, each conducted simultaneously in Singapore and the Midwestern US, suggest that university students …

Assessing The Use Of Social Media For Employee Engagement In The Singapore Military, Kevin Kok-Yew Tan, Augustine Pang

Research Collection Lee Kong Chian School Of Business

The purpose of this paper is to assess the potential of using social media in employee engagement within the Singapore military through the theoretical lens of organizational listening, and to ascertain the implications to corporate organizational communication with the transferability of findings made possible by a common pool from which both military and corporate draw their employees. 20 interviewees with varied demographics were interviewed in this research. Findings showed that:- Text messaging and social media were common communication platforms used for employee engagement;- Employees feel proud when the organization showcases good work on social media;- Social media use must be …

Online Burst Events Detection Oriented Real-Time Microblog Message Stream, Guozhong Dong, Jun Gao, Liang Huang, Chunlei Shi

Research Collection School Of Computing and Information Systems

The rapid spread of microblog messages and sensitivity of unexpected events make microblog become the public opinion center of burst events. Online burst events detection oriented real-time microblog message stream has become an important research problem in the field of microblog public opinion. Because of the large amount of real-time microblog message stream and irregular language of microblog message, it is important to process real-time microblog message stream and detect burst events accurately. In this paper, an online burst events detection framework is proposed. In this framework, abnormal messages are detected based on sliding time window and two-level hash table. …

I'D Blush If I Could: Closing Gender Divides In Digital Skills Through Education, Mark West, Rebecca Kraut, Han Ei Chew

Research Collection Office of Impact

This publication seeks to expose some of these gender biases and put forward ideas to begin closing a digital skills gender gap that is, in most parts of the world, wide and growing. Today, women and girls are 25 per cent less likely than men to know how to leverage digital technology for basic purposes, 4 times less likely to know how to programme computers and 13 times less likely to file for a technology patent. At a moment when every sector is becoming a technology sector, these gaps should make policy-makers, educators and everyday citizens ‘blush’ in alarm. The …

Integrity, Meritocracy And Inclusiveness: Singapore's Core Values, Tony Tan, Philip Zerrillo

Research Collection Lee Kong Chian School Of Business

An interview with the seventh President of Singapore, Dr Tony Tan. The seventh President of Singapore, Dr Tony Tan, talks about the challenges and opportunities for the island-state, in this interview with Philip Zerrillo.

The Transformation Of Globe Telecom, Havovi Joshi, Christopher Dula, Philip Zerrillo

Research Collection Lee Kong Chian School Of Business

Redefining telecommunications in the Philippines. Globe Telecom—a major telecommunications service provider in the Philippines—had a long, pioneering history in the communications business. Incorporated in 1935, it was the first international wireless communications company connecting the Philippines to the rest of the world.

Social Software Development: Insights And Solutions, Abhishek Sharma

Dissertations and Theses Collection (Open Access)

Over last few decades, the way software is developed has changed drastically. From being an activity performed by developers working individually to develop standalone programs, it has transformed into a highly collaborative and cooperative activity. Software development today can be considered as a participatory culture, where developers coordinate and engage together to develop software while continuously learning from one another and creating knowledge.

In order to support their communication and collaboration needs, software developers often use a variety of social media channels. These channels help software developers to connect with like-minded developers and explore collaborations on software projects of interest. …

Data Mining Approach To The Detection Of Suicide In Social Media: A Case Study Of Singapore, Jane H. K. Seah, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

In this research, we focus on the social phenomenon of suicide. Specifically, we perform social sensing on digital traces obtained from Reddit. We analyze the posts and comments in that are related to depression and suicide. We perform natural language processing to better understand different aspects of human life that relate to suicide.

Twitter And The Discovery Mindset, Singapore Management University

Perspectives@SMU

Understanding how social media is consumed can help make an ad more easily recalled

Improving Multi-Label Emotion Classification Via Sentiment Classification With Dual Attention Transfer Network, Jianfei Yu, Luis Marujo, Jing Jiang, Pradeep Karuturi, William Brendel

Research Collection School Of Computing and Information Systems

In this paper, we target at improving the performance of multi-label emotion classification with the help of sentiment classification. Specifically, we propose a new transfer learning architecture to divide the sentence representation into two different feature spaces, which are expected to respectively capture the general sentiment words and the other important emotion-specific words via a dual attention mechanism. Extensive experimental results demonstrate that our transfer learning approach can outperform several strong baselines and achieve the state-of-the-art performance on two benchmark datasets.

Recommending Who To Follow In The Software Engineering Twitter Space, Abhabhisheksh Sharma, Yuan Tian, Agus Sulistya, Dinusha Wijedasa, David Lo

Research Collection School Of Computing and Information Systems

With the advent of social media, developers are increasingly using it in their software development activities. Twitter is one of the popular social mediums used by developers. A recent study by Singer et al. found that software developers use Twitter to “keep up with the fast-paced development landscape.” Unfortunately, due to the general-purpose nature of Twitter, it’s challenging for developers to use Twitter for their development activities. Our survey with 36 developers who use Twitter in their development activities highlights that developers are interested in following specialized software gurus who share relevant technical tweets.To help developers perform this task, in …

Comparing Elm With Svm In The Field Of Sentiment Classification Of Social Media Text Data, Zhihuan Chen, Zhaoxia Wang, Zhiping Lin, Ting Yang

Research Collection School Of Computing and Information Systems

Machine learning has been used in various fields with thousands of applications. Extreme learning machine (ELM), which is the most recently developed machine learning algorithm, has become increasingly popular for its good generalization ability. However, it has been relatively less applied to the domain of social media. Support Vector Machine (SVM), another popular learning-based algorithm, has been applied for sentiment classification of social media text data and has obtained good results. This paper investigates and compares the capabilities of these two learning-based methods in the field of sentiment classification of social media. The results indicate that SVM can obtain good …

Effects Of Cultural Tightness-Looseness And Social Network Density On Expression Of Positive And Negative Emotions: A Large-Scale Study Of Impression Management By Facebook Users, Pan Liu, David Chan, Lin Qiu, William Tov, Victor Joo Chuan Tong

Research Collection School of Social Sciences

Using data from 13,789 Facebook users across U.S. states, this study examined the main effects of societal-level cultural tightness–looseness and its interaction effects with individuals’ social network density on impression management (IM) in terms of online emotional expression. Results showed that individuals from culturally tight (vs. loose) states were more likely to express positive emotions and less likely to express negative emotions. Meanwhile, for positive emotional expression, there was a tightness–looseness by social network density interaction effect. In culturally tight states, individuals with dense (vs. sparse) networks were more likely to express positive emotions, while in culturally loose states this …

Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks (Demo), Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

User identity linkage across online social networks is an emerging research topic that has attracted attention in recent years. Many user identity linkage methods have been proposed so far and most of them utilize user profile, content and network information to determine if two social media accounts belong to the same person. In most cases, user identity linkage methods are evaluated by performing some prediction tasks with the results presented using some overall accuracy measures. However, the methods are rarely compared at the individual user level where a predicted matched (or linked) pair of user identities from different online social …