- Misinformation and Its Impacts
- Spam and Phishing Detection
- Sentiment Analysis and Opinion Mining
- Public Relations and Crisis Communication
- Vaccine Coverage and Hesitancy
- Media Influence and Politics
- Media Influence and Health
- Occupational Health and Safety Research
- Patient Satisfaction in Healthcare
- COVID-19 and Mental Health
- Mobile Health and mHealth Applications
- COVID-19 epidemiological studies
- Social Media and Politics
- Workplace Health and Well-being
- Terrorism, Counterterrorism, and Political Violence
- Advanced Text Analysis Techniques
- Computational and Text Analysis Methods
- Telemedicine and Telehealth Implementation
- Disaster Management and Resilience
- SARS-CoV-2 and COVID-19 Research
- Cybercrime and Law Enforcement Studies
- Hate Speech and Cyberbullying Detection
Nanyang Technological University
2020-2025
Ministry of Health
2020-2021
Information disorder (IDO) presents a persistent challenge to society, necessitating innovative approaches understanding its dynamics beyond just merely detecting it. This study introduces theory-driven framework that integrates advanced natural language processing (NLP) with deep learning, utilizing the target-based emotion–stance analysis (TESA) approach analyze emotion and stance within IDO content. Complementing TESA, interactive graph generation (IGG) is applied for scalable...
Purpose The COVID-19 pandemic has spurred a concurrent outbreak of false information online. Debunking about health crisis is critical as misinformation can trigger protests or panic, which necessitates better understanding it. This exploratory study examined the effects debunking messages on COVID-19-related public chat WhatsApp in Singapore. Design/methodology/approach To understand conversations, following was studied. relationship between source credibility (i.e. characteristics...
A surge in the spread of fake news after a terror attack such as 2018 Surabaya bombings has been observed recent times. It was clear that (i.e., information disorder [ID]) can amplify social impact and consequences on local community. However, research prevalence ID connection to incident is not well-studied Southeast Asia (SEA). To address this gap systematically, study describes an approach taken nexus between attack. By drawing Global Terrorism Database manual searches, case bank 39...
Understanding the social-psychological processes that characterize communities’ reactions to a pandemic is first step toward formulating risk communications can lead better health outcomes. This study examines comments on Facebook pages of five Singapore media outlets understand what topics are being discussed by public in reaction implemented precautionary measures so as infer their psychological concerns. Using Anchored Correlation Explanation topic modelling technique, this around 10,000...
Abstract COVID-19 vaccination programmes have helped reduce deaths and morbidity from the pandemic allowed for resumption of normal life. However, vaccine hesitancy remains an issue even with recurrent surges in cases due to new SARS-CoV-2 variants. Purpose: To elucidate psychosocial factors that contribute our understanding hesitancy. 676 Participants Singapore took part online survey on uptake between May June 2021. Data demographics, perception pandemic, willingness were collected. The...
The increasing prevalence of fake news as well scams has been a cause for concern authorities in Singapore recent years. In particular, the concurrent rise and online shown signs convergence form news-scams, where false information is manipulated employed scams. However, literature examining this emerging phenomenon scarce. As such, study aims to deepen our understanding novel issue by exploring how scammers employ terms type, channels transmission, persuasion techniques. Drawing from local...
This study examines messages on Telegram groups to understand what the public is concerned with during COVID-19 crisis. Using Anchored Correlation Explanation as a topic modelling technique, this 48,226 found in five discussing situation Singapore. There were three topics of interest: 1) buying and selling activity involving protective equipment like masks, 2) Masks, 3) Signs symptoms diseases.