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Can Large Language Models Understand Content and Propagation for
  Misinformation Detection: An Empirical Study

Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study

21 November 2023
Mengyang Chen
Lingwei Wei
Han Cao
Wei Zhou
Song Hu
ArXivPDFHTML

Papers citing "Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study"

3 / 3 papers shown
Title
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 Mar 2022
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on
  Text
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text
Mingxi Cheng
Shahin Nazarian
P. Bogdan
19
80
0
28 Jan 2021
Early Detection of Fake News by Utilizing the Credibility of News,
  Publishers, and Users Based on Weakly Supervised Learning
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
Chunyuan Yuan
Qianwen Ma
Wei Zhou
Jizhong Han
Songlin Hu
GNN
177
68
0
08 Dec 2020
1