85 citations · 225 across the 32 of their papers we have counts for
10 papers · 1 filter
TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore
Nirmalendu Prakash, Ming Shan Hee, Roy Ka-Wei Lee
Total Defence is a defence policy combining and extending the concept of military defence and civil defence. While several countries have adopted total defence as their defence pol…
Predicting Hate Intensity of Twitter Conversation Threads
Qing Meng, Tharun Suresh, Roy Ka-Wei Lee +1
Tweets are the most concise form of communication in online social media, wherein a single tweet has the potential to make or break the discourse of the conversation. Online hate s…
On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic
Md Rabiul Awal, Rui Cao, Sandra Mitrovic +1
The COVID-19 pandemic has developed to be more than a bio-crisis as global news has reported a sharp rise in xenophobia and discrimination in both online and offline communities. S…
On Analyzing Annotation Consistency in Online Abusive Behavior Datasets
Md Rabiul Awal, Rui Cao, Roy Ka-Wei Lee +1
Online abusive behavior is an important issue that breaks the cohesiveness of online social communities and even raises public safety concerns in our societies. Motivated by this r…
Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks
Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo +1
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 propose…
Unsupervised User Identity Linkage via Factoid Embedding
Wei Xie, Xin Mu, Roy Ka-Wei Lee +2
User identity linkage (UIL), the problem of matching user account across multiple online social networks (OSNs), is widely studied and important to many real-world applications. Mo…
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites
Roy Ka-Wei Lee, David Lo
In this paper, we proposed a novel framework which uses user interests inferred from activities (a.k.a., activity interests) in multiple social collaborative platforms to predict u…
Discovering Hidden Topical Hubs and Authorities in Online Social Networks
Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim
Finding influential users in online social networks is an important problem with many possible useful applications. HITS and other link analysis methods, in particular, have been o…
GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms
Roy Ka-Wei Lee, David Lo
Increasingly, software developers are using a wide array of social collaborative platforms for software development and learning. In this work, we examined the similarities in deve…
Friendship Maintenance and Prediction in Multiple Social Networks
Roy Ka-Wei Lee, Ee-Peng Lim
Due to the proliferation of online social networks (OSNs), users find themselves participating in multiple OSNs. These users leave their activity traces as they maintain friendship…