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FakeFlow: Fake News Detection by Modeling the Flow of Affective
  Information

FakeFlow: Fake News Detection by Modeling the Flow of Affective Information

Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
24 January 2021
Bilal Ghanem
Simone Paolo Ponzetto
Paolo Rosso
Francisco Rangel
ArXiv (abs)PDFHTML

Papers citing "FakeFlow: Fake News Detection by Modeling the Flow of Affective Information"

15 / 15 papers shown
Title
Towards Robust and Realible Multimodal Misinformation Recognition with Incomplete Modality
Towards Robust and Realible Multimodal Misinformation Recognition with Incomplete Modality
Hengyang Zhou
Y. X. Wei
Jian Yang
Zhenyu Zhang
MoE
271
0
0
07 Oct 2025
A Research Vision for Web Search on Emerging Topics
A Research Vision for Web Search on Emerging Topics
Alisa Rieger
Stefan Dietze
Ran Yu
64
0
0
12 Sep 2025
LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
Shubham Gupta
S. Chatterjee
Suman Kundu
SSL
100
0
0
26 Aug 2025
T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search
T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search
Xing Cui
Yueying Zou
Zekun Li
Peipei Li
Xinyuan Xu
Xuannan Liu
Huaibo Huang
382
0
0
26 May 2025
MAPX: An explainable model-agnostic framework for the detection of false
  information on social media networks
MAPX: An explainable model-agnostic framework for the detection of false information on social media networks
Sarah Condran
Michael Bewong
Selasi Kwashie
Md Zahidul Islam
Irfan Altas
Joshua Condran
115
0
0
13 Sep 2024
BiasScanner: Automatic Detection and Classification of News Bias to
  Strengthen Democracy
BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy
Tim Menzner
Jochen L. Leidner
212
3
0
15 Jul 2024
MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs
MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs
Xuannan Liu
Zekun Li
Peipei Li
Shuhan Xia
Xing Cui
Linzhi Huang
Huaibo Huang
Weihong Deng
Zhaofeng He
400
44
0
13 Jun 2024
Emotion Detection for Misinformation: A Review
Emotion Detection for Misinformation: A ReviewInformation Fusion (Inf. Fusion), 2023
Shanshan Yang
Tianlin Zhang
Kailai Yang
Paul Thompson
Zeping Yu
Sophia Ananiadou
252
54
0
01 Nov 2023
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake
  News Detection
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Beizhe Hu
Qiang Sheng
Juan Cao
Yongchun Zhu
Danding Wang
Zhengjia Wang
Zhiwei Jin
171
34
0
26 Jun 2023
Expanding the Role of Affective Phenomena in Multimodal Interaction
  Research
Expanding the Role of Affective Phenomena in Multimodal Interaction ResearchInternational Conference on Multimodal Interaction (ICMI), 2023
Leena Mathur
Maja J. Matarić
Louis-Philippe Morency
196
4
0
18 May 2023
Using Persuasive Writing Strategies to Explain and Detect Health
  Misinformation
Using Persuasive Writing Strategies to Explain and Detect Health MisinformationInternational Conference on Language Resources and Evaluation (LREC), 2022
Danial Kamali
Joseph Romain
Huiyi Liu
Wei Peng
Jingbo Meng
Parisa Kordjamshidi
207
5
0
11 Nov 2022
Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection
Ge Wang
Li Tan
Ziliang Shang
He Liu
184
11
0
25 Apr 2022
Integrating Pattern- and Fact-based Fake News Detection via Model
  Preference Learning
Integrating Pattern- and Fact-based Fake News Detection via Model Preference LearningInternational Conference on Information and Knowledge Management (CIKM), 2021
Qiang Sheng
Xueyao Zhang
Juan Cao
L. Zhong
GNN
131
68
0
23 Sep 2021
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by
  Bots: a Tale of Networks and Language
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language
G. Ruffo
Alfonso Semeraro
Anastasia Giachanou
Paolo Rosso
192
86
0
13 Sep 2021
How Vulnerable Are Automatic Fake News Detection Methods to Adversarial
  Attacks?
How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?
Camille Koenders
Johannes Filla
Nicolai Schneider
Vinicius Woloszyn
GNN
144
18
0
16 Jul 2021
1