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 76–98 of 98 papers

TitleStatusHype
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation—0
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features—0
Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules—0
NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.—0
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTMCode0
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours—0
Detection and Resolution of Rumours in Social Media: A Survey—0
An Extensible Framework for Verification of Numerical Claims—0
Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis—0
Spotting Rumors via Novelty Detection—0
Determining the Veracity of Rumours on Twitter—0
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social MediaCode1
The Cloud of Knowing: Non-factive al-ta `know' (as a Neg-raiser) in Korean—0
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations—0
Using Gaussian Processes for Rumour Stance Classification in Social Media—0
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter—0
Emergent: a novel data-set for stance classification—0
Processing and Normalizing Hashtags—0
Handling and Mining Linguistic Variation in UGC—0
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes—0
Point Process Modelling of Rumour Dynamics in Social Media—0
Classifying Tweet Level Judgements of Rumours in Social Media—0
Towards Detecting Rumours in Social Media—0
Show:102550
← PrevPage 4 of 4Next →

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