Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models

1 March 2021

Papers citing "Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models"

13 / 13 papers shown

Title
Fake News Detection After LLM Laundering: Measurement and Explanation Rupak Kumar Das Jonathan Dodge 91 0 0 29 Jan 2025
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 28 0 0 13 Sep 2024
The Landscape of User-centered Misinformation Interventions -- A Systematic Literature Review Katrin Hartwig Fred G. Doell C. Reuter 29 18 0 16 Jan 2023
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues Canyu Chen Haoran Wang Matthew A. Shapiro Yunyu Xiao Fei Wang Kai Shu 17 12 0 10 Nov 2022
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles Feng Zhou Tao Chen Baiying Lei 29 0 0 05 Nov 2022
Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study Chad A. Melton B. White Robert L. Davis R. Bednarczyk A. Shaban-Nejad 13 25 0 17 Oct 2022
A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models Sajib Kumar Saha Joy Dibyo Fabian Dofadar Riyo Hayat Khan M. Ahmed Rafeed Rahman MedIm 27 5 0 02 Aug 2022
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data Jackie Ayoub Zifei Wang Meitang Li Huizhong Guo Rini Sherony Shan Bao Feng Zhou 11 17 0 30 Jul 2022
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 36 6 0 22 Jan 2022
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box David Dandolo Chiara Masiero Mattia Carletti Davide Dalle Pezze Gian Antonio Susto FAtt LRM 24 22 0 23 Dec 2021
Predicting Driver Takeover Time in Conditionally Automated Driving Jackie Ayoub Na Du X. J. Yang Feng Zhou 18 35 0 20 Jul 2021
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability Jackie Ayoub X. J. Yang Feng Zhou 23 65 0 25 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017