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 31–40 of 98 papers

TitleStatusHype
Automatic and Manual Web Annotations in an Infrastructure to handle Fake News and other Online Media Phenomena—0
Detecting Rumours with Latency Guarantees using Massive Streaming Data—0
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models—0
AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
Detection and Resolution of Rumours in Social Media: A Survey—0
Determining the Veracity of Rumours on Twitter—0
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
A Survey on Stance Detection for Mis- and Disinformation Identification—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