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 1–25 of 98 papers

TitleStatusHype
SCRum-9: Multilingual Stance Classification over Rumours on Social Media—0
An Analytical Emotion Framework of Rumour Threads on Social Media—0
Contrastive Token-level Explanations for Graph-based Rumour Detection—0
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models—0
Rumour Evaluation with Very Large Language ModelsCode0
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification—0
CMA-R:Causal Mediation Analysis for Explaining Rumour DetectionCode0
Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT—0
Rumour Detection and Analysis on Twitter—0
Verifying the Robustness of Automatic Credibility AssessmentCode0
PANACEA: An Automated Misinformation Detection System on COVID-19—0
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset—0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning—0
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 Graphs—0
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation NetworksCode1
Detecting Rumours with Latency Guarantees using Massive Streaming Data—0
Evaluating BERT-based Pre-training Language Models for Detecting Misinformation—0
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach—0
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks—0
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related MicroblogsCode0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ParsBERT+PCapsNet +SA+Title+ AuxiliaryF-Measure0.95—Unverified
2BERT-SAWSF-Measure0.93—Unverified
3Jahanbakhsh-Nagadeh et al.F-Measure0.83—Unverified
4Common context features + Four SA classesF-Measure0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1CMA_R0..5sec1—Unverified