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 51–98 of 98 papers

TitleStatusHype
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
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours—0
Early Rumour Detection—0
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions—0
AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis—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
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models—0
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics—0
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
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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