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 2650 of 98 papers

TitleStatusHype
PESTO: A Post-User Fusion Network for Rumour Detection on Social Media0
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management0
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning0
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language0
BERT based classification system for detecting rumours on Twitter0
Adversary-Aware Rumor DetectionCode1
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter0
The Surprising Performance of Simple Baselines for Misinformation DetectionCode1
A Survey on Stance Detection for Mis- and Disinformation Identification0
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen DomainsCode1
COVID-19 Misinformation on Twitter: Multilingual Analysis0
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data0
A Deep Content-Based Model for Persian Rumor Verification0
A semi-supervised model for Persian rumor verification based on content information0
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media0
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet DetectionCode1
Measuring What Counts: The case of Rumour Stance Classification0
QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions0
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity0
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 Rumors0
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible0
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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