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

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Showing 1–10 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
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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