SOTAVerified

Rumour Detection

Rumor detection is the task of identifying rumors, i.e. statements whose veracity is not quickly or ever confirmed, in utterances on social media platforms.

Papers

Showing 125 of 98 papers

TitleStatusHype
SCRum-9: Multilingual Stance Classification over Rumours on Social Media0
An Analytical Emotion Framework of Rumour Threads on Social Media0
Contrastive Token-level Explanations for Graph-based Rumour Detection0
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models0
Rumour Evaluation with Very Large Language ModelsCode0
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification0
CMA-R:Causal Mediation Analysis for Explaining Rumour DetectionCode0
Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT0
Rumour Detection and Analysis on Twitter0
Verifying the Robustness of Automatic Credibility AssessmentCode0
PANACEA: An Automated Misinformation Detection System on COVID-190
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning0
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive LearningCode0
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text ClassificationCode1
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs0
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation NetworksCode1
Detecting Rumours with Latency Guarantees using Massive Streaming Data0
Evaluating BERT-based Pre-training Language Models for Detecting Misinformation0
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach0
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks0
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification0
A Survey on Stance Detection for Mis- and Disinformation Identification0
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related MicroblogsCode0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and CountermeasuresCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ParsBERT+PCapsNet +SA+Title+ AuxiliaryF-Measure0.95Unverified
2BERT-SAWSF-Measure0.93Unverified
3Jahanbakhsh-Nagadeh et al.F-Measure0.83Unverified
4Common context features + Four SA classesF-Measure0.79Unverified
#ModelMetricClaimedVerifiedStatus
1CMA_R0..5sec1Unverified