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

78 citations · 144 across the 31 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.SI2020★ 1 cited

Mining Influentials and their Bot Activities on Twitter Campaigns

Shanika Karunasekera, Kwan Hui Lim, Aaron Harwood

Twitter is increasingly used for political, advertising and marketing campaigns, where the main aim is to influence users to support specific causes, individuals or groups. We prop…

cs.SI2020★ 78 cited

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media

Yi Han, Shanika Karunasekera, Christopher Leckie

Although significant effort has been applied to fact-checking, the prevalence of fake news over social media, which has profound impact on justice, public trust and our society, re…

cs.LG2020

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams

Amila Silva, Shanika Karunasekera, Christopher Leckie +1

Many learning tasks involve multi-modal data streams, where continuous data from different modes convey a comprehensive description about objects. A major challenge in this context…

cs.LG2020

OMBA: User-Guided Product Representations for Online Market Basket Analysis

Amila Silva, Ling Luo, Shanika Karunasekera +1

Market Basket Analysis (MBA) is a popular technique to identify associations between products, which is crucial for business decision making. Previous studies typically adopt conve…

cs.SI2020

Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams

Yi Han, Shanika Karunasekera, Christopher Leckie

Events detected from social media streams often include early signs of accidents, crimes or disasters. Therefore, they can be used by related parties for timely and efficient respo…