activity
20162026
most citedGraph Neural Networks with Continual Learning for Fake News Detection from Social Media

78 citations · 173 across the 34 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.LG2023

Urban Region Representation Learning with Attentive Fusion

Fengze Sun, Jianzhong Qi, Yanchuan Chang +3

An increasing number of related urban data sources have brought forth novel opportunities for learning urban region representations, i.e., embeddings. The embeddings describe laten…

cs.CL2023★ 31 cited

CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts

Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera

Social media platforms play an essential role in crisis communication, but analyzing crisis-related social media texts is challenging due to their informal nature. Transformer-base…

cs.DC2023

A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications

Anupama Mampage, Shanika Karunasekera, Rajkumar Buyya

Serverless computing has gained a strong traction in the cloud computing community in recent years. Among the many benefits of this novel computing model, the rapid auto-scaling ca…

cs.SI2023

To be a pro-vax or not, the COVID-19 vaccine conundrum on Twitter

Zainab Zaidi, Mengbin Ye, Shanika Karunasekera +1

The most surprising observation reported by the study in (arXiv:2208.13523), involving stance detection of COVID-19 vaccine related tweets during the first year of pandemic, is the…

cs.LG2023

Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals

Amila Silva, Ling Luo, Shanika Karunasekera +1

The emergence of social media as one of the main platforms for people to access news has enabled the wide dissemination of fake news. This has motivated numerous studies on automat…

cs.SI2023★ 4 cited

A Twitter narrative of the COVID-19 pandemic in Australia

Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera

Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as pe…

cs.SI2023★ 8 cited

BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration

Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera

The COVID-19 pandemic introduced new norms such as social distancing, face masks, quarantine, lockdowns, travel restrictions, work/study from home, and business closures, to name a…