Outputs (2)

TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection (2022)
Journal Article
Xiong, S., Xi, L., Zhang, G., Shi, L., Liu, L., & Batra, V. (2023). TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection. Information Fusion, 150 - 158. https://doi.org/10.1016/j.inffus.2022.12.016

Compared to ordinary news, fake news is characterized by faster dissemination and lower production cost and therefore causes a great social harm. For these reasons, the challenge to efficiently and accurately detect fake news has attracted a lot of a... Read More about TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection.

Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features (2022)
Journal Article
Liu, L., Xi, L., Sun, C., Xiong, S., & Batra, V. (2022). Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features. Computational Intelligence and Neuroscience, 1 - 7. https://doi.org/10.1155/2022/5467262

Personal medication intake detection aims to automatically detect tweets that show clear evidence of personal medication consumption. It is a research topic that has attracted considerable attention to drug safety surveillance. This task is inevitabl... Read More about Detecting Personal Medication Intake in Twitter via Domain Attention-Based RNN with Multi-Level Features.