78 citations · 173 across the 34 of their papers we have counts for
13 papers · 1 filter
Large Language Model Driven Agents for Simulating Echo Chamber Formation
Chenhao Gu, Ling Luo, Zainab Razia Zaidi +1
The rise of echo chambers on social media platforms has heightened concerns about polarization and the reinforcement of existing beliefs. Traditional approaches for simulating echo…
Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining
Isura Manchanayaka, Zainab Zaidi, Shanika Karunasekera +1
The proliferation of misinformation and disinformation on social media networks has become increasingly concerning. With a significant portion of the population using social media…
Using Causality to Infer Coordinated Attacks in Social Media
Isura Manchanayaka, Zainab Razia Zaidi, Shanika Karunasekera +1
The rise of social media has been accompanied by a dark side with the ease of creating fake accounts and disseminating misinformation through coordinated attacks. Existing methods…
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…
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…
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…
Demystifying the COVID-19 vaccine discourse on Twitter
Zainab Zaidi, Mengbin Ye, Fergus John Samon +6
Developing an understanding of the public discourse on COVID-19 vaccination on social media is important not only for addressing the current COVID-19 pandemic, but also for future…
Knowledge Enhanced Multi-modal Fake News Detection
Yi Han, Amila Silva, Ling Luo +2
Recent years have witnessed the significant damage caused by various types of fake news. Although considerable effort has been applied to address this issue and much progress has b…
Real-time Spatio-temporal Event Detection on Geotagged Social Media
Yasmeen George, Shanika Karunasekera, Aaron Harwood +1
A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are usef…
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…
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…
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…
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification
Yi Han, Shanika Karunasekera, Christopher Leckie +1
Compared with traditional news media, social media nowadays provides a richer and more timely source of news. We are interested in multi-spatial level event detection from geo-tagg…