Multi-modal knowledge-aware event memory network for social media rumor detection

H Zhang, Q Fang, S Qian, C Xu - Proceedings of the 27th ACM …, 2019 - dl.acm.org
The wide dissemination and misleading effects of online rumors on social media have
become a critical issue concerning the public and government. Detecting and regulating …

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 …

Survey on data analysis in social media: A practical application aspect

Q Hou, M Han, Z Cai - Big Data Mining and Analytics, 2020 - ieeexplore.ieee.org
Social media has more than three billion users sharing events, comments, and feelings
throughout the world. It serves as a critical information source with large volumes, high …

Integrating multi-label contrastive learning with dual adversarial graph neural networks for cross-modal retrieval

S Qian, D Xue, Q Fang, C Xu - IEEE Transactions on Pattern …, 2022 - ieeexplore.ieee.org
With the growing amount of multimodal data, cross-modal retrieval has attracted more and
more attention and become a hot research topic. To date, most of the existing techniques …

An integrated clustering and BERT framework for improved topic modeling

L George, P Sumathy - International Journal of Information Technology, 2023 - Springer
Topic modelling is a machine learning technique that is extensively used in Natural
Language Processing (NLP) applications to infer topics within unstructured textual data …

Social media visual analytics

S Chen, L Lin, X Yuan - Computer Graphics Forum, 2017 - Wiley Online Library
With the development of social media (eg Twitter, Flickr, Foursquare, Sina Weibo, etc.), a
large number of people are now using them and post microblogs, messages and multi …

Multitask learning for cross-domain image captioning

M Yang, W Zhao, W Xu, Y Feng, Z Zhao… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Recent artificial intelligence research has witnessed great interest in automatically
generating text descriptions of images, which are known as the image captioning task …

Multi-modal meta multi-task learning for social media rumor detection

H Zhang, S Qian, Q Fang, C Xu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid development of social media platforms and the increasing scale of the social
media data, the rumor detection task has become vitally important since the authenticity of …

Dual adversarial graph neural networks for multi-label cross-modal retrieval

S Qian, D Xue, H Zhang, Q Fang, C Xu - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Cross-modal retrieval has become an active study field with the expanding scale of
multimodal data. To date, most existing methods transform multimodal data into a common …

A survey on visual analytics of social media data

Y Wu, N Cao, D Gotz, YP Tan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The unprecedented availability of social media data offers substantial opportunities for data
owners, system operators, solution providers, and end users to explore and understand …