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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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 98 papers

TitleStatusHype
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible—0
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis—0
Veritas Annotator: Discovering the Origin of a Rumour—0
Back to the Future -- Sequential Alignment of Text RepresentationsCode0
Joint Rumour Stance and Veracity PredictionCode0
Danish Stance Classification and Rumour ResolutionCode0
Early Rumour Detection—0
AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis—0
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours—0
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions—0
BLCU\_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation—0
Rumour Detection via News Propagation Dynamics and User Representation Learning—0
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against RumorsCode0
BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional TransformersCode0
A semi-supervised approach to message stance classification—0
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors—0
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation StructureCode0
RumourEval 2019: Determining Rumour Veracity and Support for Rumours—0
Can Rumour Stance Alone Predict Veracity?—0
Rumor Detection on Twitter with Tree-structured Recursive Neural NetworksCode0
All-in-one: Multi-task Learning for Rumour Verification—0
Automatic and Manual Web Annotations in an Infrastructure to handle Fake News and other Online Media Phenomena—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles—0
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics—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