Event prediction in the big data era: A systematic survey

L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey

I Afyouni, Z Al Aghbari, RA Razack - Information Fusion, 2022 - Elsevier
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection

J Wang, K Fu, CT Lu - … Conference on Big Data (Big Data), 2020 - ieeexplore.ieee.org
Amidst the COVID-19 pandemic, cyberbullying has become an even more serious threat.
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …

Crowdsourcing cybersecurity: Cyber attack detection using social media

RP Khandpur, T Ji, S Jan, G Wang, CT Lu… - Proceedings of the …, 2017 - dl.acm.org
Social media is often viewed as a sensor into various societal events such as disease
outbreaks, protests, and elections. We describe the use of social media as a crowdsourced …

Misinformation propagation in the age of twitter

F **, W Wang, L Zhao, E Dougherty, Y Cao, CT Lu… - Computer, 2014 - computer.org
Misinformation Propagation in the Age of Twitter Toggle navigation IEEE Computer Society
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A topic-focused trust model for Twitter

L Zhao, T Hua, CT Lu, R Chen - Computer Communications, 2016 - Elsevier
Twitter is a crucial platform to get access to breaking news and timely information. However,
due to questionable provenance, uncontrollable broadcasting, and unstructured languages …