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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 Cloud of Knowing: Non-factive al-ta `know' (as a Neg-raiser) in Korean—0
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible—0
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
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses—0
Evaluating BERT-based Pre-training Language Models for Detecting Misinformation—0
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity—0
From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles—0
Handling and Mining Linguistic Variation in UGC—0
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter—0
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation—0
Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT—0
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis—0
Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules—0
Measuring What Counts: The case of Rumour Stance Classification—0
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs—0
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes—0
NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.—0
PANACEA: An Automated Misinformation Detection System on COVID-19—0
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management—0
PESTO: A Post-User Fusion Network for Rumour Detection on Social Media—0
Point Process Modelling of Rumour Dynamics 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