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Articles 3181 - 3210 of 23269
Full-Text Articles in Entire DC Network
A Secure And Robust Knowledge Transfer Framework Via Stratified-Causality Distribution Adjustment In Intelligent Collaborative Services, Ju Jia, Siqi Ma, Lina Wang, Yang Liu, Robert H. Deng
A Secure And Robust Knowledge Transfer Framework Via Stratified-Causality Distribution Adjustment In Intelligent Collaborative Services, Ju Jia, Siqi Ma, Lina Wang, Yang Liu, Robert H. Deng
Research Collection School Of Computing and Information Systems
The rapid development of device-edge-cloud collaborative computing techniques has actively contributed to the popularization and application of intelligent service models. The intensity of knowledge transfer plays a vital role in enhancing the performance of intelligent services. However, the existing knowledge transfer methods are mainly implemented through data fine-tuning and model distillation, which may cause the leakage of data privacy or model copyright in intelligent collaborative systems. To address this issue, we propose a secure and robust knowledge transfer framework through stratified-causality distribution adjustment (SCDA) for device-edge-cloud collaborative services. Specifically, a simple yet effective density-based estimation is first employed to obtain …
Causal Disentangled Recommendation Against User Preference Shifts, Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat‑Seng Chua
Causal Disentangled Recommendation Against User Preference Shifts, Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat‑Seng Chua
Research Collection School Of Computing and Information Systems
Recommender systems easily face the issue of user preference shifts. User representations will become outof-date and lead to inappropriate recommendations if user preference has shifted over time. To solve theissue, existing work focuses on learning robust representations or predicting the shifting pattern. Therelacks a comprehensive view to discover the underlying reasons for user preference shifts. To understand thepreference shift, we abstract a causal graph to describe the generation procedure of user interaction sequences.Assuming user preference is stable within a short period, we abstract the interaction sequence as a set ofchronological environments. From the causal graph, we find that the changes …
Glance To Count: Learning To Rank With Anchors For Weakly-Supervised Crowd Counting, Zheng Xiong, Liangyu Chai, Wenxi Liu, Yongtuo Liu, Sucheng Ren, Shengfeng He
Glance To Count: Learning To Rank With Anchors For Weakly-Supervised Crowd Counting, Zheng Xiong, Liangyu Chai, Wenxi Liu, Yongtuo Liu, Sucheng Ren, Shengfeng He
Research Collection School Of Computing and Information Systems
Crowd image is arguably one of the most laborious data to annotate. In this paper, we devote to reduce the massive demand of densely labeled crowd data, and propose a novel weakly-supervised setting, in which we leverage the binary ranking of two images with highcontrast crowd counts as training guidance. To enable training under this new setting, we convert the crowd count regression problem to a ranking potential prediction problem. In particular, we tailor a Siamese Ranking Network that predicts the potential scores of two images indicating the ordering of the counts. Hence, the ultimate goal is to assign appropriate …
Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao
Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao
Research Collection School Of Computing and Information Systems
The cooperative delivery of trucks and drones promises considerable advantages in delivery efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of rural B2C e-commerce grows, this study intends to explore the prospect of this cooperation mode for rural last-mile delivery by developing a green vehicle routing problem with drones that considers the presence of steep roads (GVRPD-SR). Realistic energy consumption calculations for trucks and drones that both consider the impacts of general factors and steep roads are incorporated into the GVRPD-SR model, and the objective is to minimize the total energy consumption. To solve the proposed …
Affinity Uncertainty-Based Hard Negative Mining In Graph Contrastive Learning, Chaoxi Niu, Guansong Pang, Ling Chen
Affinity Uncertainty-Based Hard Negative Mining In Graph Contrastive Learning, Chaoxi Niu, Guansong Pang, Ling Chen
Research Collection School Of Computing and Information Systems
Hard negative mining has shown effective in enhancing self-supervised contrastive learning (CL) on diverse data types, including graph CL (GCL). The existing hardness-aware CL methods typically treat negative instances that are most similar to the anchor instance as hard negatives, which helps improve the CL performance, especially on image data. However, this approach often fails to identify the hard negatives but leads to many false negatives on graph data. This is mainly due to that the learned graph representations are not sufficiently discriminative due to oversmooth representations and/or non-independent and identically distributed (non-i.i.d.) issues in graph data. To tackle this …
Remote Multi-Person Heart Rate Monitoring With Smart Speakers: Overcoming Separation Constraint, Ngoc Doan Thu Tran, Dong Ma, Rajesh Krishna Balan
Remote Multi-Person Heart Rate Monitoring With Smart Speakers: Overcoming Separation Constraint, Ngoc Doan Thu Tran, Dong Ma, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
Heart rate is a key vital sign that can be used to understand an individual’s health condition. Recently, remote sensing techniques, especially acoustic-based sensing, have received increasing attention for their ability to non-invasively detect heart rate via commercial mobile devices such as smartphones and smart speakers. However, due to signal interference, existing methods have primarily focused on monitoring a single user and required a large separation between them when monitoring multiple people. These limitations hinder many common use cases such as couples sharing the same bed or two or more people located in close proximity. In this paper, we present …
Provably Secure Decisions Based On Potentially Malicious Information, Dongxia Wang, Tim Muller, Jun Sun
Provably Secure Decisions Based On Potentially Malicious Information, Dongxia Wang, Tim Muller, Jun Sun
Research Collection School Of Computing and Information Systems
There are various security-critical decisions routinely made, on the basis of information provided by peers: routing messages, user reports, sensor data, navigational information, blockchain updates, etc. Jury theorems were proposed in sociology to make decisions based on information from peers, which assume peers may be mistaken with some probability. We focus on attackers in a system, which manifest as peers that strategically report fake information to manipulate decision making. We define the property of robustness: a lower bound probability of deciding correctly, regardless of what information attackers provide. When peers are independently selected, we propose an optimal, robust decision mechanism …
Active Code Learning: Benchmarking Sample-Efficient Training Of Code Models, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Active Code Learning: Benchmarking Sample-Efficient Training Of Code Models, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Research Collection School Of Computing and Information Systems
The costly human effort required to prepare the training data of machine learning (ML) models hinders their practical development and usage in software engineering (ML4Code), especially for those with limited budgets. Therefore, efficiently training models of code with less human effort has become an emergent problem. Active learning is such a technique to address this issue that allows developers to train a model with reduced data while producing models with desired performance, which has been well studied in computer vision and natural language processing domains. Unfortunately, there is no such work that explores the effectiveness of active learning for code …
Dynamic Meta-Path Guided Temporal Heterogeneous Graph Neural Networks, Yugang Ji, Chuan Shi, Yuan Fang
Dynamic Meta-Path Guided Temporal Heterogeneous Graph Neural Networks, Yugang Ji, Chuan Shi, Yuan Fang
Research Collection School Of Computing and Information Systems
Graph Neural Networks (GNNs) have become the de facto standard for representation learning on topological graphs, which usually derive effective node representations via message passing from neighborhoods. Although GNNs have achieved great success, previous models are mostly confined to static and homogeneous graphs. However, there are multiple dynamic interactions between different-typed nodes in real-world scenarios like academic networks and e-commerce platforms, forming temporal heterogeneous graphs (THGs). Limited work has been done for representation learning on THGs and the challenges are in two aspects. First, there are abundant dynamic semantics between nodes while traditional techniques like meta-paths can only capture static …
Enabling Ai And Robotic Coaches For Physical Rehabilitation Therapy: Iterative Design And Evaluation With Therapists And Post-Stroke Survivors, Min Hun Lee, Daniel Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez I Badia
Enabling Ai And Robotic Coaches For Physical Rehabilitation Therapy: Iterative Design And Evaluation With Therapists And Post-Stroke Survivors, Min Hun Lee, Daniel Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez I Badia
Research Collection School Of Computing and Information Systems
Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction. While previous work explored the potential of automatically monitoring exercises for AI and robotic coaches, the deployment of these systems remains a challenge. Previous work described the lack of involving stakeholders to design such functionalities as one of the major causes. In this paper, we present our efforts on eliciting the detailed design specifications on how AI and robotic coaches could interact with and guide patient’s exercises in an effective and acceptable way with four therapists and five post-stroke survivors. Through iterative …
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos, Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos, Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun
Research Collection School Of Computing and Information Systems
Not forgetting old class knowledge is a key challenge for class-incremental learning (CIL) when the model continuously adapts to new classes. A common technique to address this is knowledge distillation (KD), which penalizes prediction inconsistencies between old and new models. Such prediction is made with almost new class data, as old class data is extremely scarce due to the strict memory limitation in CIL. In this paper, we take a deep dive into KD losses and find that "using new class data for KD"not only hinders the model adaption (for learning new classes) but also results in low efficiency for …
Internal And Social Sources Shape Judgments About The Mental And Physical Nature Of An Experience, Jacinth Jia Xin Tan, Alexander Karan, Dolores Albarracin
Internal And Social Sources Shape Judgments About The Mental And Physical Nature Of An Experience, Jacinth Jia Xin Tan, Alexander Karan, Dolores Albarracin
Research Collection School of Social Sciences
Although humans are intuitive dualists, little is known about whether they hold lay beliefs about the origins or sources of their intuitive perceptions of what is physical and what is mental. Drawing on theories of the sources of phenomenological experiences, we examined if people hold beliefs about the internal and social origins of judments that their experiences are physical or mental. In Study 1, participants provided physical or mental judgments about a range of personal experiences, and reported relying on both internal (i.e., examining own body and thoughts) and social (i.e., observing others) sources as information for their judgments. To …
The Future Of The International Financial System: The Emerging Cbdc Network And Its Impact On Regulation, Heng Wang, Simin Gao
The Future Of The International Financial System: The Emerging Cbdc Network And Its Impact On Regulation, Heng Wang, Simin Gao
Research Collection Yong Pung How School Of Law
Central bank digital currency (CBDC) is a digital form of fiat currency. CBDC has the potential to be a game challenger in the international financial system, bringing increased complexities arising from technology and regulatory considerations, as well as generating greater currency competition. As more states begin exploring CBDC, the interactions between actors may lead to the emergence of a new CBDC network. What shape would the emerging CBDC network take? What would its network effects be? What would be the impact of the CBDC network on the international financial system, or the global financial network? This article explores these questions …
Lion City Zoopolis: Urban Crittizenship In Biophilic Singapore, George Wong
Lion City Zoopolis: Urban Crittizenship In Biophilic Singapore, George Wong
Research Collection School of Social Sciences
A central theme of Singapore’s “City in Nature” vision is framed through biophilic urbanism, or efforts to harmonize biodiversity and urban development through built, social, and political design. The central discourses of Singapore’s biophilic urbanism have revolved around flora-centric paradigms, including habitat conservation, greening spaces, and access to natural capital. This paper detours from conventions of Singapore’s urban ecological futures and instead explores the governance of fauna co- existence in the city–state through the concept of “urban crittizenship.” Defined as a more-than-human denization framework that interrogates urban wildlife governance, urban crittizenship interrogates the politics of urban wildlife’s rights to the …
An Integrated Theory Of Happiness: The Yang Zhu Chapter Of The Liezi, Devin K. Joshi
An Integrated Theory Of Happiness: The Yang Zhu Chapter Of The Liezi, Devin K. Joshi
Research Collection School of Social Sciences
This article examines the integrated approach to theorizing happiness in the Yang Zhu chapter of the book associated with the Daoist master Liezi. While ancient critics famously denounced Yang Zhu as an amoral, pleasure-seeking hedonist, I argue the Yang Zhu chapter offers an individually rational but socially non-conformist approach to well-being of considerable relevance to contemporary scholarship on happiness. Not only does the chapter offer an intriguing and counter-intuitive argument about what constitutes and causes well-being, but its philosophical implications address a large number of inescapably foundational conceptual questions that can serve as metrics for evaluating theories of happiness in …
Climate-Related Shareholder Activism As Corporate Democracy: A Call To Reform “Acting In Concert” Rules, Dan W. Puchniak, Umakanth Varottil
Climate-Related Shareholder Activism As Corporate Democracy: A Call To Reform “Acting In Concert” Rules, Dan W. Puchniak, Umakanth Varottil
Research Collection Yong Pung How School Of Law
Climate change is an issue of global importance, which may turn out to be the issue of this century. Companies are at the core of both the problems and solutions for climate change. Given this reality, it is astounding that in virtually all jurisdictions in the world ‘acting in concert rules,’ which were designed decades ago to facilitate an efficient market for corporate control, effectively prevent shareholders who hold a majority of shares from democratically replacing boards of dirty companies. Our Article exposes this overlooked reality by undertaking the first in-depth comparative analysis of acting in concert rules with a …
Not Why, But How: Applying The Sharp Edge Of The Law In Administrative Law Judicial Review In Singapore, Tan K. B. Eugene
Not Why, But How: Applying The Sharp Edge Of The Law In Administrative Law Judicial Review In Singapore, Tan K. B. Eugene
Research Collection Yong Pung How School Of Law
The management and control of power, and, in particular, the endeavour to strike the appropriate balance between affording governments the ability to act swiftly and decisively in the public interest while providing for adequate safeguards against governmental excess, is an intensely difficult undertaking. There is no one model that is correct for all times and all places.
From Net Zero To Nature Positive, Simon J.D. Schillebeeckx, Ryan Merrill
From Net Zero To Nature Positive, Simon J.D. Schillebeeckx, Ryan Merrill
Research Collection Lee Kong Chian School Of Business
The concept of Net Zero, once considered a significant step towards sustainability, is now seen as outdated and insufficient in addressing climate change and biodiversity loss. To heal our planet, businesses must collectively adopt Regeneration: a holistic, impact-focused, and much more effective Nature Strategy. It's crucial that we recognize other planetary boundaries beyond carbon and transcend a company’s responsibility beyond emissions culpability. By choosing a Nature Pledge over or in addition to a Net-Zero pledge, you will be making a profound commitment to real systemic change and planetary health.
Steering The Intangible Wheel: Chief Executive Officer Effect On Corporate Cultural Change, Xina Li, Guoli Chen, Rui Shen
Steering The Intangible Wheel: Chief Executive Officer Effect On Corporate Cultural Change, Xina Li, Guoli Chen, Rui Shen
Research Collection Lee Kong Chian School Of Business
We provide large-scale empirical evidence of how much chief executive officers (CEOs) change corporate culture. To do this, we use employee reviews to measure corporate cultural change in S&P 1500 firms. In a variance decomposition analysis, we find a modest effect of CEOs on corporate cultural change. The effect of CEOs on cultural change is larger than industry effect but smaller than firm effect. Regression analysis in the context of CEO succession further shows consistent evidence of a modest effect of CEO succession on corporate cultural change. In addition, the relationship between CEOs and cultural change is not likely to …
Fairness Perceptions Of Artificial Intelligence: A Review And Path Forward, Devesh Narayanan, Mahak Nagpal, Jack Mcguire, Shane Schweitzer, David De Cremer
Fairness Perceptions Of Artificial Intelligence: A Review And Path Forward, Devesh Narayanan, Mahak Nagpal, Jack Mcguire, Shane Schweitzer, David De Cremer
Research Collection Lee Kong Chian School Of Business
A key insight from research on organizational justice is that fairness is in the eye of the beholder. With increasing discussions–especially among computer scientists and policymakers–about the potential biases and unfairness of decisions made by Artificial Intelligence (AI) systems, there is a critical need to consider how decision-subjects perceive the fairness of AI-led decision-making. Drawing upon theoretical and empirical perspectives on perceived fairness in organizational justice scholarship, this review categorizes and analyzes perceptions of AI fairness as they impact the effective implementation of AI in workplaces and beyond. Specifically, we review existing empirical research on AI fairness according to distinct …
The Impact Of The Business School Research, Kai Peters, Howard Thomas
The Impact Of The Business School Research, Kai Peters, Howard Thomas
Research Collection Lee Kong Chian School Of Business
Producing high-quality research has long been an important strategic objective for business schools. Faculty research has typically been evaluated by articles appearing in highly regarded academic journals and by citation counts. Increasingly, however, government funding bodies are seeking more than just appearances in 4* journals, they are looking for meaningful societal impact. To this end researchers, in various countries, must submit case studies to funding bodies outlining concrete examples of impact in addition to the original research articles. In the future, the financial reward for high-impact case studies will significantly supersede the reward for journal prestige and citation counts.
The Subsistence And Enforcement Of Copyright And Trademark Rights In The Metaverse, Cheng Lim Saw, Zheng Wen Samuel Chan
The Subsistence And Enforcement Of Copyright And Trademark Rights In The Metaverse, Cheng Lim Saw, Zheng Wen Samuel Chan
Research Collection Yong Pung How School Of Law
The metaverse has been widely hailed as a symbol of technological progress, presenting an immersive virtual realm that has the potential to transform how individuals engage in social and commercial activities. However, this conception of a borderless virtual world - which purportedly transcends the capabilities and reach of Web 2.0 - sits uncomfortably with the territorial nature of intellectual property rights. This chapter examines the complexities surrounding the subsistence and enforcement of intellectual property rights within the metaverse, with a specific focus on copyright and trademarks. Especial attention is paid to issues concerning choice of law and jurisdiction. Finally, the …
Corporate Purpose Beyond Borders: A Key To Saving Our Planet Or Colonialism Repackaged?, Roza Nurgozhayeva, Dan W. Puchniak
Corporate Purpose Beyond Borders: A Key To Saving Our Planet Or Colonialism Repackaged?, Roza Nurgozhayeva, Dan W. Puchniak
Research Collection Yong Pung How School Of Law
The “corporate purpose” debate, while extremely important, has largely been built on an understanding of corporate law and governance that is local – jurisdiction bound – while the issue of climate change is global; pollution does not respect jurisdictional borders. Despite this, in practice, states, multinational corporations, and transnational organizations are increasingly using formal and informal mechanisms to shape sustainable corporate governance beyond jurisdictional borders – a colossal development that has been hiding in plain sight.This article develops a taxonomy for identifying and analyzing the forces driving corporate purpose beyond borders: state-based, firm-based, and organization-based “global corporate law and governance”. …
Similar Fact Evidence In Contractual Interpretation: Bhoomatidevi D/O Kishinchand Chugani Mrs Kavita Gope Mirwani V Nantakumar S/O V Ramachandra And Another [2023] Sghc 37, Calvin John Kaiwen Chirnside
Similar Fact Evidence In Contractual Interpretation: Bhoomatidevi D/O Kishinchand Chugani Mrs Kavita Gope Mirwani V Nantakumar S/O V Ramachandra And Another [2023] Sghc 37, Calvin John Kaiwen Chirnside
Research Collection Yong Pung How School Of Law
In the recent Singapore High Court case of Bhoomatidevi d/o Kishinchand Chugani Mrs Kavita Gope Mirwani v Nantakumar s/o v Ramachandra and another [2023] SGHC 37, the claimant argued, inter alia, that evidence of a prior contract between the first defendant and a third party should be admitted to prove that the defendant had entered into a loan agreement with her in his personal capacity. Justice Lee Seiu Kin dismissed her claim, applying s. 14 of the Evidence Act.
Equal Predictive Ability Tests Based On Panel Data With Applications To Oecd And Imf Forecasts, Oguzhan Akgun, Alain Pirotte, Giovanni Urga, Zhenlin Yang
Equal Predictive Ability Tests Based On Panel Data With Applications To Oecd And Imf Forecasts, Oguzhan Akgun, Alain Pirotte, Giovanni Urga, Zhenlin Yang
Research Collection School Of Economics
We propose two types of equal predictive ability (EPA) tests with panels to compare the predictions made by two forecasters. The first type, S-statistics, focuses on the overall EPA hypothesis, which states that the EPA holds, on average, over all panel units and over time. The second type, C-statistics, focuses on the clustered EPA hypothesis where the EPA holds jointly for a fixed number of clusters of panel units. The asymptotic properties of the proposed tests are evaluated under weak and strong cross-sectional dependence. An extensive Monte Carlo simulation shows that the proposed tests have very good finite sample properties, …
Robust Testing For Explosive Behavior With Strongly Dependent Errors, Yui Lim Lui, Peter C. B. Phillips, Jun Yu
Robust Testing For Explosive Behavior With Strongly Dependent Errors, Yui Lim Lui, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
A heteroskedasticity-autocorrelation robust (HAR) test statistic is proposed to test for the presence of explosive roots in financial or real asset prices when the equation errors are strongly dependent. Limit theory for the test statistic is developed and extended to heteroskedastic models. The new test has stable size properties unlike conventional test statistics that typically lead to size distortion and inconsistency in the presence of strongly dependent equation errors. The new procedure can be used to consistently time-stamp the origination and termination of an explosive episode under similar conditions of long memory errors. Simulations are conducted to assess the finite …
Childlessness And Sibling Positioning In Upward Intergenerational Support: Insights From Singapore, Dahye Kim, Christine Ho, Bussarawan Teerawichitchainan
Childlessness And Sibling Positioning In Upward Intergenerational Support: Insights From Singapore, Dahye Kim, Christine Ho, Bussarawan Teerawichitchainan
Research Collection School Of Economics
Objective: This brief report aims to explore the role of child-lessness and its interaction with sibling positioning (i.e., birth order and gender) in upward intergenerational support within the context of Asian familial and patrilineal values. Background: Despite the increasing rates of childlessness in Asia, little is known about how childless individuals deviate from or adhere to the patrilineal gendered practices of supporting their older parents. Singapore, a rapidly aging nation that emphasises Confucian familism values and patrilineal practices in guiding its welfare policies, provides an ideal setting for this research investigation. Method: We analysed a sample of 475 Singaporeans aged …
Statistical Discrimination And Duration Dependence In A Semistructural Model, Ismail Baydur, Jianhuan Xu
Statistical Discrimination And Duration Dependence In A Semistructural Model, Ismail Baydur, Jianhuan Xu
Research Collection School Of Economics
This article develops a job-search model with unobserved worker heterogeneity and learning about worker types from unemployment duration. The model features negative duration dependence that stems from unobserved heterogeneity, skill depreciation, and statistical discrimination. We estimate job-finding rates implied by our model using microlevel data from the Current Population Survey. We find that removing interview costs counterfactually, thereby eliminating statistical discrimination, substantially increases the job-finding rates of the long-term unemployed. The performance of low-skill workers at the interview stage with discriminating firms plays a key role in explaining our counterfactual result.
Promoting Esg Investing By Trustees: Risk Management And Structuring Solutions, Vincent Ooi, Alvin W. L. See
Promoting Esg Investing By Trustees: Risk Management And Structuring Solutions, Vincent Ooi, Alvin W. L. See
Research Collection Yong Pung How School Of Law
The world is falling behind on its commitments to tackle some of the most pressing problems of this century: climate change, inequality, and other obstacles to building a sustainable future. In 2015, all Member States of the United Nations adopted the 2030 Agenda for Sustainable Development which set out 17 Sustainable Development Goals (‘UNSDG’) and 169 targets spanning the spectrum of environmental, social and economic dimensions of development. At the mid-point to 2030, the UN Secretary-General reported that of the roughly 140 targets for which data is available, about 12 per cent are on track; more than half are moderately …
Leveraging Instagram To Enhance Self-Esteem: A Self-Affirmative Intervention Study And Multilevel Mediation Analysis, Shuna Shiann Khoo, Hwajin Yang, Wei Xing Toh
Leveraging Instagram To Enhance Self-Esteem: A Self-Affirmative Intervention Study And Multilevel Mediation Analysis, Shuna Shiann Khoo, Hwajin Yang, Wei Xing Toh
Research Collection School of Social Sciences
Although studies have consistently indicated that heavier use of social networking sites (SNS) perpetuates poorer self-esteem outcomes, no study has examined potential intervention methods that can yield positive effects from SNS use. We hypothesized that viewing one's Instagram profile would have self-affirmative effects on self-perception because the profile typically showcases curated instrumental positive aspects of self. Furthermore, these self-affirmative effects would indirectly improve state self-esteem via enhanced clarity of self-concept. To test our hypothesis, we designed an experimental intervention study where one group viewed their Instagram profile regularly, while another group viewed a neutral abstract art profile. Using multilevel latent …