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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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 91–98 of 98 papers

Title	Date	Tasks	Status	Hype
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter	Aug 1, 2016	ClassificationGeneral Classification	—Unverified	0
Emergent: a novel data-set for stance classification	Jun 1, 2016	ClassificationGeneral Classification	—Unverified	0
Processing and Normalizing Hashtags	Sep 1, 2015	LemmatizationRumour Detection	—Unverified	0
Handling and Mining Linguistic Variation in UGC	Sep 1, 2015	Rumour Detection	—Unverified	0
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes	Sep 1, 2015	Rumour DetectionTime Series Analysis	—Unverified	0
Point Process Modelling of Rumour Dynamics in Social Media	Jul 1, 2015	EpidemiologyMulti-Task Learning	—Unverified	0
Classifying Tweet Level Judgements of Rumours in Social Media	Jun 1, 2015	Domain AdaptationMulti-Task Learning	—Unverified	0
Towards Detecting Rumours in Social Media	Apr 18, 2015	Rumour Detection	—Unverified	0

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All datasets Sepehr_RumTel01 1

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ParsBERT+PCapsNet +SA+Title+ Auxiliary	F-Measure	0.95	—	Unverified
2	BERT-SAWS	F-Measure	0.93	—	Unverified
3	Jahanbakhsh-Nagadeh et al.	F-Measure	0.83	—	Unverified
4	Common context features + Four SA classes	F-Measure	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CMA_R	0..5sec	1	—	Unverified