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

13 September 2024

Michael Bewong

Selasi Kwashie

Md Zahidul Islam

Papers citing "MAPX: An explainable model-agnostic framework for the detection of false information on social media networks"

10 / 10 papers shown

Title
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 61 33 0 06 May 2024
Heterogeneous Subgraph Transformer for Fake News Detection Yuchen Zhang Xiaoxia Ma Hongzhi Zhang Jian Yang Hao Fan 67 12 0 19 Apr 2024
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models Yue Huang Lichao Sun 47 7 0 08 Oct 2023
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 54 36 0 08 Jun 2022
Towards Fine-Grained Reasoning for Fake News Detection Yiqiao Jin Xiting Wang Ruichao Yang Yizhou Sun Wei Wang Hao Liao Xing Xie GNN 27 63 0 13 Sep 2021
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models Jackie Ayoub X. J. Yang Feng Zhou 76 129 0 01 Mar 2021
FakeFlow: Fake News Detection by Modeling the Flow of Affective Information Bilal Ghanem Simone Paolo Ponzetto Paolo Rosso Francisco Rangel 78 68 0 24 Jan 2021
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository Enyan Dai Yiwei Sun Suhang Wang 85 112 0 27 Jan 2020
Fake News Detection on Social Media: A Data Mining Perspective Kai Shu A. Sliva Suhang Wang Jiliang Tang Huan Liu GNN EgoV 72 2,766 0 07 Aug 2017
CSI: A Hybrid Deep Model for Fake News Detection Natali Ruchansky Sungyong Seo Yan Liu 47 926 0 20 Mar 2017