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Graph-based Modeling of Online Communities for Fake News Detection
v1v2v3v4 (latest)

Graph-based Modeling of Online Communities for Fake News Detection

14 August 2020
Shantanu Chandra
Pushkar Mishra
H. Yannakoudakis
Madhav Nimishakavi
Marzieh Saeidi
Ekaterina Shutova
    GNN
ArXiv (abs)PDFHTML

Papers citing "Graph-based Modeling of Online Communities for Fake News Detection"

50 / 50 papers shown
Adversarial Attacks and Defenses on Graph-aware Large Language Models (LLMs)
Adversarial Attacks and Defenses on Graph-aware Large Language Models (LLMs)
Iyiola Emmanuel Olatunji
Franziska Boenisch
Jing Xu
Adam Dziedzic
AAML
258
1
0
06 Aug 2025
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of
  Theories, Detection Methods, and Opportunities
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
Xiaomin Yu
Yezhaohui Wang
Yanfang Chen
Zhen Tao
Dinghao Xi
Chenyang Xi
Pengnian Qi
Zhiyu Li
397
20
0
25 Apr 2024
A (More) Realistic Evaluation Setup for Generalisation of Community
  Models on Malicious Content Detection
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
Ivo Verhoeven
Pushkar Mishra
Rahel Beloch
H. Yannakoudakis
Ekaterina Shutova
299
2
0
02 Apr 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
GNNAI4CE
240
4
0
28 Feb 2024
Advancing Graph Representation Learning with Large Language Models: A
  Comprehensive Survey of Techniques
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
Qiheng Mao
Zemin Liu
Chenghao Liu
Zhuo Li
Jianling Sun
210
19
0
04 Feb 2024
A Survey of Graph Meets Large Language Model: Progress and Future
  Directions
A Survey of Graph Meets Large Language Model: Progress and Future DirectionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Yuhan Li
Zhixun Li
Peisong Wang
Jia Li
Xiangguo Sun
Hongtao Cheng
Jeffrey Xu Yu
638
98
0
21 Nov 2023
Fake News Detection Through Graph-based Neural Networks: A Survey
Fake News Detection Through Graph-based Neural Networks: A Survey
Shuzhi Gong
Richard Sinnott
Jianzhong Qi
Cécile Paris
GNN
323
24
0
24 Jul 2023
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and
  Text Embeddings
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsWorkshop on Graph-based Methods for Natural Language Processing (Graph4NLP), 2023
William Brannon
Wonjune Kang
S. Fulay
Hang Jiang
Brandon Roy
Dwaipayan Roy
Jad Kabbara
SSL
461
43
0
23 May 2023
Exploring Fake News Detection with Heterogeneous Social Media Context
  Graphs
Exploring Fake News Detection with Heterogeneous Social Media Context GraphsEuropean Conference on Information Retrieval (ECIR), 2022
Gregor Donabauer
Udo Kruschwitz
GNNEgoV
247
10
0
13 Dec 2022
Unifying Data Perspectivism and Personalization: An Application to
  Social Norms
Unifying Data Perspectivism and Personalization: An Application to Social NormsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Joan Plepi
Béla Neuendorf
Lucie Flek
Charles F Welch
430
32
0
26 Oct 2022
Improving Graph-Based Text Representations with Character and Word Level
  N-grams
Improving Graph-Based Text Representations with Character and Word Level N-grams
Wenzhe Li
Nikolaos Aletras
GNN
248
4
0
12 Oct 2022
Adversarial Contrastive Learning for Evidence-aware Fake News Detection
  with Graph Neural Networks
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Jun Wu
Weizhi Xu
Qiang Liu
Shu Wu
Liang Wang
GNN
263
27
0
11 Oct 2022
A comparative analysis of Graph Neural Networks and commonly used
  machine learning algorithms on fake news detection
A comparative analysis of Graph Neural Networks and commonly used machine learning algorithms on fake news detection
Fahim Mahmud
Mahi Md. Sadek Rayhan
Mahdi Hasan Shuvo
Islam Sadia
Md. Kishor Morol
GNN
276
19
0
26 Mar 2022
Evidence-aware Fake News Detection with Graph Neural Networks
Evidence-aware Fake News Detection with Graph Neural NetworksThe Web Conference (WWW), 2022
Weizhi Xu
Jun Wu
Qiang Liu
Shu Wu
Liang Wang
GNN
261
119
0
18 Jan 2022
SOMPS-Net : Attention based social graph framework for early detection
  of fake health news
SOMPS-Net : Attention based social graph framework for early detection of fake health newsAustralasian Data Mining Conference (AusDM), 2021
Prasannakumaran Dhanasekaran
H. Srinivasan
S. Sowmiyasree
I. SriGayathriDevi
Saikrishnan Sankar
Vineeth Vijayaraghavan
165
8
0
22 Nov 2021
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Joan Plepi
Lucie Flek
231
29
0
08 Oct 2021
Meta-Path-based Fake News Detection Leveraging Multi-level Social
  Context Information
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information
Jian Cui
Kwanwoo Kim
S. Na
Seung-Eui Shin
254
36
0
13 Sep 2021
Like Article, Like Audience: Enforcing Multimodal Correlations for
  Disinformation Detection
Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection
Liesbeth Allein
Marie-Francine Moens
D. Perrotta
228
12
0
31 Aug 2021
User Preference-aware Fake News Detection
User Preference-aware Fake News DetectionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Yingtong Dou
Kai Shu
Congyin Xia
Philip S. Yu
Lichao Sun
357
321
0
25 Apr 2021
Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
Us vs. Them: A Dataset of Populist Attitudes, News Bias and EmotionsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Pere-Lluís Huguet Cabot
David Abadi
A. Fischer
Ekaterina Shutova
342
29
0
28 Jan 2021
Fighting an Infodemic: COVID-19 Fake News Dataset
Fighting an Infodemic: COVID-19 Fake News Dataset
Parth Patwa
Shivam Sharma
Srinivas Pykl
V. Guptha
G. Kumari
Md. Shad Akhtar
Asif Ekbal
A. Das
Tanmoy Chakraborty
592
310
0
06 Nov 2020
FANG: Leveraging Social Context for Fake News Detection Using Graph
  Representation
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen
Kazunari Sugiyama
Preslav Nakov
Min-Yen Kan
GNNFedML
280
325
0
18 Aug 2020
Graph Neural Networks with Continual Learning for Fake News Detection
  from Social Media
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
Yi Han
S. Karunasekera
C. Leckie
GNN
323
146
0
07 Jul 2020
On the Bottleneck of Graph Neural Networks and its Practical
  Implications
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
765
910
0
09 Jun 2020
Leveraging Multi-Source Weak Social Supervision for Early Detection of
  Fake News
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News
Kai Shu
Guoqing Zheng
Yichuan Li
Subhabrata Mukherjee
Ahmed Hassan Awadallah
Scott W. Ruston
Huan Liu
282
66
0
03 Apr 2020
SAFE: Similarity-Aware Multi-Modal Fake News Detection
SAFE: Similarity-Aware Multi-Modal Fake News Detection
Xinyi Zhou
Jindi Wu
R. Zafarani
371
61
0
19 Feb 2020
Ginger Cannot Cure Cancer: Battling Fake Health News with a
  Comprehensive Data Repository
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data RepositoryInternational Conference on Web and Social Media (ICWSM), 2020
Enyan Dai
Yiwei Sun
Suhang Wang
370
128
0
27 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Pushkar Mishra
Aleksandra Piktus
Gerard Goossen
Fabrizio Silvestri
AI4CE
487
21
0
17 Jan 2020
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
537
816
0
28 Oct 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CEGNN
325
474
0
28 Oct 2019
You Shall Know a User by the Company It Keeps: Dynamic Representations
  for Social Media Users in NLP
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Marco Del Tredici
Diego Marcheggiani
Sabine Schulte im Walde
Raquel Fernández
269
37
0
01 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
6.0K
29,143
0
26 Jul 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT
Takanori Maehara
GNN
570
513
0
23 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksKnowledge Discovery and Data Mining (KDD), 2019
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
599
1,511
0
20 May 2019
A Benchmark Study of Machine Learning Models for Online Fake News
  Detection
A Benchmark Study of Machine Learning Models for Online Fake News Detection
Junaed Younus Khan
Md. Tawkat Islam Khondaker
Sadia Afroz
Gias Uddin
Anindya Iqbal
314
79
0
12 May 2019
Abusive Language Detection with Graph Convolutional Networks
Abusive Language Detection with Graph Convolutional Networks
Pushkar Mishra
Marco Del Tredici
H. Yannakoudakis
Ekaterina Shutova
GNN
198
83
0
05 Apr 2019
A Survey on Graph Kernels
A Survey on Graph Kernels
Nils M. Kriege
Fredrik D. Johansson
Christopher Morris
413
473
0
28 Mar 2019
A Survey of Fake News: Fundamental Theories, Detection Methods, and
  Opportunities
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
Xinyi Zhou
R. Zafarani
458
310
0
02 Dec 2018
Riemannian Adaptive Optimization Methods
Riemannian Adaptive Optimization Methods
Gary Bécigneul
O. Ganea
ODL
469
330
0
01 Oct 2018
Hyperbolic Neural Networks
Hyperbolic Neural Networks
O. Ganea
Gary Bécigneul
Thomas Hofmann
418
781
0
23 May 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
1.4K
12,106
0
15 Feb 2018
Graph Attention Networks
Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
4.7K
25,503
0
30 Oct 2017
Automatic Detection of Fake News
Automatic Detection of Fake News
Verónica Pérez-Rosas
Bennett Kleinberg
Alexandra Lefevre
Amélie Reymond
339
901
0
23 Aug 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large GraphsNeural Information Processing Systems (NeurIPS), 2017
William L. Hamilton
Z. Ying
J. Leskovec
3.7K
19,089
0
07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
769
5,839
0
17 Mar 2017
A Stylometric Inquiry into Hyperpartisan and Fake News
A Stylometric Inquiry into Hyperpartisan and Fake NewsAnnual Meeting of the Association for Computational Linguistics (ACL), 2017
Martin Potthast
Johannes Kiesel
K. Reinartz
Janek Bevendorff
Benno Stein
318
676
0
18 Feb 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
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34,456
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09 Sep 2016
Discriminative Predicate Path Mining for Fact Checking in Knowledge
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Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs
Baoxu Shi
Tim Weninger
270
179
0
20 Oct 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2014
Yoon Kim
AILawVLM
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Graph Kernels
Graph KernelsJournal of machine learning research (JMLR), 2008
S.V.N. Vishwanathan
Karsten Borgwardt
I. Kondor
N. Schraudolph
605
1,274
0
01 Jul 2008
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