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Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for
  Message Veracity Classification in Microblogs

Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs

11 October 2021
Abderrazek Azri
Cécile Favre
Nouria Harbi
Jérôme Darmont
C. Noûs
ArXivPDFHTML

Papers citing "Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs"

5 / 5 papers shown
Title
RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
Zhenkai Qin
Guifang Yang
Dongze Wu
MoE
40
0
0
24 Apr 2025
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue
Junyi Chen
Mengjia Wu
Qian Liu
Ying Ding
Yi Zhang
28
0
0
31 Dec 2024
Rumor Classification through a Multimodal Fusion Framework and Ensemble
  Learning
Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning
Abderrazek Azri
Cécile Favre
Nouria Harbi
Jérôme Darmont
C. Noûs
10
11
0
04 Jan 2023
SAFE: Similarity-Aware Multi-Modal Fake News Detection
SAFE: Similarity-Aware Multi-Modal Fake News Detection
Xinyi Zhou
Jindi Wu
R. Zafarani
36
65
0
19 Feb 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1