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 71–80 of 98 papers

TitleStatusHype
Towards Detecting Rumours in Social Media—0
Using Gaussian Processes for Rumour Stance Classification in Social Media—0
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features—0
Veritas Annotator: Discovering the Origin of a Rumour—0
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach—0
Rumour Detection via News Propagation Dynamics and User Representation Learning—0
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses—0
A Deep Content-Based Model for Persian Rumor Verification—0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures—0
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media—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