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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 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
PESTO: A Post-User Fusion Network for Rumour Detection on Social Media—0
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management—0
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses—0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language—0
BERT based classification system for detecting rumours on Twitter—0
Adversary-Aware Rumor DetectionCode1
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter—0
The Surprising Performance of Simple Baselines for Misinformation DetectionCode1
A Survey on Stance Detection for Mis- and Disinformation Identification—0
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen DomainsCode1
COVID-19 Misinformation on Twitter: Multilingual Analysis—0
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data—0
A Deep Content-Based Model for Persian Rumor Verification—0
A semi-supervised model for Persian rumor verification based on content information—0
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media—0
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet DetectionCode1
Measuring What Counts: The case of Rumour Stance Classification—0
QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions—0
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity—0
COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?—0
Estimating predictive uncertainty for rumour verification modelsCode1
Claim Check-Worthiness Detection as Positive Unlabelled LearningCode1
A Model to Measure the Spread Power of Rumors—0
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible—0
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All datasetsSepehr_RumTel011

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