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Applying Automatic Text Summarization for Fake News Detection

Applying Automatic Text Summarization for Fake News Detection

4 April 2022
Philipp Hartl
Udo Kruschwitz
ArXivPDFHTML

Papers citing "Applying Automatic Text Summarization for Fake News Detection"

6 / 6 papers shown
Title
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
68
80
0
05 Mar 2024
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake
  News Detection: An Evaluation of Current Strategies and Resource Limitations
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations
Gregor Donabauer
Udo Kruschwitz
GNN
AI4CE
40
1
0
28 Feb 2024
Exploring Fake News Detection with Heterogeneous Social Media Context
  Graphs
Exploring Fake News Detection with Heterogeneous Social Media Context Graphs
Gregor Donabauer
Udo Kruschwitz
GNN
EgoV
30
9
0
13 Dec 2022
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
185
68
0
08 Dec 2020
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
190
3,513
0
10 Jun 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,368
0
25 Aug 2014
1