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XFake: Explainable Fake News Detector with Visualizations

XFake: Explainable Fake News Detector with Visualizations

8 July 2019
Fan Yang
Shiva K. Pentyala
Sina Mohseni
Mengnan Du
Hao Yuan
Rhema Linder
Eric D. Ragan
Shuiwang Ji
Xia Hu
ArXivPDFHTML

Papers citing "XFake: Explainable Fake News Detector with Visualizations"

40 / 40 papers shown
Title
Detecting Manipulated Contents Using Knowledge-Grounded Inference
Detecting Manipulated Contents Using Knowledge-Grounded Inference
Mark Huasong Meng
Ruizhe Wang
Meng Xu
Chuan Yan
Guangdong Bai
47
0
0
29 Apr 2025
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
A. Chaddad
Yan Hu
Yihang Wu
Binbin Wen
R. Kateb
58
6
0
11 Mar 2025
Attention with Dependency Parsing Augmentation for Fine-Grained
  Attribution
Attention with Dependency Parsing Augmentation for Fine-Grained Attribution
Qiang Ding
Lvzhou Luo
Yixuan Cao
Ping Luo
87
0
0
16 Dec 2024
Robust Claim Verification Through Fact Detection
Robust Claim Verification Through Fact Detection
Nazanin Jafari
James Allan
47
1
0
25 Jul 2024
Automated Justification Production for Claim Veracity in Fact Checking:
  A Survey on Architectures and Approaches
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
Islam Eldifrawi
Shengrui Wang
Amine Trabelsi
49
8
0
09 Jul 2024
Beyond 5G Network Failure Classification for Network Digital Twin Using
  Graph Neural Network
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network
Abubakar Isah
I. Aliyu
Jaechan Shim
Hoyong Ryu
Jinsul Kim
35
0
0
06 Jun 2024
Explainable Fake News Detection With Large Language Model via Defense
  Among Competing Wisdom
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
Bo Wang
Jing Ma
Hongzhan Lin
Zhiwei Yang
Ruichao Yang
Yuan Tian
Yi-Ju Chang
AAML
49
29
0
06 May 2024
What Does Evaluation of Explainable Artificial Intelligence Actually
  Tell Us? A Case for Compositional and Contextual Validation of XAI Building
  Blocks
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
Kacper Sokol
Julia E. Vogt
37
11
0
19 Mar 2024
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking
  of Real-world Claims
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
Fengzhu Zeng
Wei Gao
41
15
0
16 Jan 2024
Evidence-based Interpretable Open-domain Fact-checking with Large
  Language Models
Evidence-based Interpretable Open-domain Fact-checking with Large Language Models
Xin Tan
Bowei Zou
AiTi Aw
LRM
HILM
37
2
0
10 Dec 2023
Countering Misinformation via Emotional Response Generation
Countering Misinformation via Emotional Response Generation
Daniel Russo
Shane P. Kaszefski-Yaschuk
Jacopo Staiano
Marco Guerini
OffRL
26
9
0
17 Nov 2023
COVIDFakeExplainer: An Explainable Machine Learning based Web
  Application for Detecting COVID-19 Fake News
COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News
Dylan Warman
Muhammad Ashad Kabir
26
1
0
21 Oct 2023
FakeGPT: Fake News Generation, Explanation and Detection of Large
  Language Models
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
Yue Huang
Lichao Sun
29
6
0
08 Oct 2023
Towards LLM-based Fact Verification on News Claims with a Hierarchical
  Step-by-Step Prompting Method
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
Xuan Zhang
Wei Gao
LRM
19
79
0
30 Sep 2023
Benchmarking the Generation of Fact Checking Explanations
Benchmarking the Generation of Fact Checking Explanations
Daniel Russo
Serra Sinem Tekiroğlu
Marco Guerini
27
17
0
29 Aug 2023
Fact-Checking Complex Claims with Program-Guided Reasoning
Fact-Checking Complex Claims with Program-Guided Reasoning
Liangming Pan
Xiaobao Wu
Xinyuan Lu
A. Luu
William Yang Wang
Min-Yen Kan
Preslav Nakov
LRM
52
116
0
22 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop
  Fact Verification
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Jiasheng Si
Yingjie Zhu
Deyu Zhou
AAML
52
3
0
16 May 2023
ExClaim: Explainable Neural Claim Verification Using Rationalization
ExClaim: Explainable Neural Claim Verification Using Rationalization
Sai Gurrapu
Lifu Huang
Feras A. Batarseh
AAML
34
8
0
21 Jan 2023
The State of Human-centered NLP Technology for Fact-checking
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das
Houjiang Liu
Venelin Kovatchev
Matthew Lease
HILM
32
61
0
08 Jan 2023
Exploring Faithful Rationale for Multi-hop Fact Verification via
  Salience-Aware Graph Learning
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning
Jiasheng Si
Yingjie Zhu
Deyu Zhou
37
12
0
02 Dec 2022
A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective
A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective
Yu Zhao
Huaming Du
Qing Li
Fuzhen Zhuang
Ji Liu
Gang Kou
Gang Kou
30
1
0
28 Nov 2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for
  Explainable Fake News Detection
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
Zhiwei Yang
Jing Ma
Hechang Chen
Hongzhan Lin
Ziyang Luo
Yi-Ju Chang
27
11
0
29 Sep 2022
Towards Smart Fake News Detection Through Explainable AI
Towards Smart Fake News Detection Through Explainable AI
B. AthiraA
S. D. M. Kumar
A. Chacko
11
1
0
23 Jul 2022
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Thanh Tam Nguyen
Thanh Cong Phan
Minh Hieu Nguyen
Matthias Weidlich
Hongzhi Yin
Jun Jo
Quoc Viet Hung Nguyen
MLAU
20
17
0
17 Jul 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows
FlowX: Towards Explainable Graph Neural Networks via Message Flows
Shurui Gui
Hao Yuan
Jie Wang
Qicheng Lao
Kang Li
Shuiwang Ji
38
11
0
26 Jun 2022
Generating Literal and Implied Subquestions to Fact-check Complex Claims
Generating Literal and Implied Subquestions to Fact-check Complex Claims
Jifan Chen
Aniruddh Sriram
Eunsol Choi
Greg Durrett
HILM
36
60
0
14 May 2022
A Survey on Automated Fact-Checking
A Survey on Automated Fact-Checking
Zhijiang Guo
M. Schlichtkrull
Andreas Vlachos
29
460
0
26 Aug 2021
Challenges and Considerations with Code-Mixed NLP for Multilingual
  Societies
Challenges and Considerations with Code-Mixed NLP for Multilingual Societies
Vivek Srivastava
M. Singh
22
5
0
15 Jun 2021
Towards Trustworthy Deception Detection: Benchmarking Model Robustness
  across Domains, Modalities, and Languages
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages
M. Glenski
Ellyn Ayton
Robin Cosbey
Dustin L. Arendt
Svitlana Volkova
37
7
0
23 Apr 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan
Haiyang Yu
Jie Wang
Kang Li
Shuiwang Ji
FAtt
37
380
0
09 Feb 2021
Cross-Domain Learning for Classifying Propaganda in Online Contents
Cross-Domain Learning for Classifying Propaganda in Online Contents
Liqiang Wang
Xiaoyu Shen
Gerard de Melo
Gerhard Weikum
17
10
0
13 Nov 2020
Explainable Automated Fact-Checking: A Survey
Explainable Automated Fact-Checking: A Survey
Neema Kotonya
Francesca Toni
8
113
0
07 Nov 2020
Machine Learning Explanations to Prevent Overtrust in Fake News
  Detection
Machine Learning Explanations to Prevent Overtrust in Fake News Detection
Sina Mohseni
Fan Yang
Shiva K. Pentyala
Mengnan Du
Yi Liu
Nic Lupfer
Xia Hu
Shuiwang Ji
Eric D. Ragan
19
41
0
24 Jul 2020
Explainable Rumor Detection using Inter and Intra-feature Attention
  Networks
Explainable Rumor Detection using Inter and Intra-feature Attention Networks
Mingxuan Chen
Ning Wang
K. P. Subbalakshmi
16
8
0
21 Jul 2020
iCapsNets: Towards Interpretable Capsule Networks for Text
  Classification
iCapsNets: Towards Interpretable Capsule Networks for Text Classification
Zhengyang Wang
Xia Hu
Shuiwang Ji
16
11
0
16 May 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
31
8
0
23 Apr 2020
Adaptive Interaction Fusion Networks for Fake News Detection
Adaptive Interaction Fusion Networks for Fake News Detection
Lianwei Wu
Y. Rao
14
33
0
21 Apr 2020
Generating Fact Checking Explanations
Generating Fact Checking Explanations
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
22
189
0
13 Apr 2020
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion
  Pattern Alone
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone
Nir Rosenfeld
Aron Szanto
David C. Parkes
6
59
0
28 Jan 2020
Fake News Early Detection: An Interdisciplinary Study
Fake News Early Detection: An Interdisciplinary Study
Xinyi Zhou
Atishay Jain
V. Phoha
R. Zafarani
22
206
0
26 Apr 2019
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