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

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Showing 26–50 of 98 papers

TitleStatusHype
COVID-19 Misinformation on Twitter: Multilingual Analysis—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
Detecting Rumours with Latency Guarantees using Massive Streaming Data—0
Detection and Resolution of Rumours in Social Media: A Survey—0
Determining the Veracity of Rumours on Twitter—0
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics—0
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks—0
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data—0
A Deep Content-Based Model for Persian Rumor Verification—0
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media—0
All-in-one: Multi-task Learning for Rumour Verification—0
A Model to Measure the Spread Power of Rumors—0
An Analytical Emotion Framework of Rumour Threads on Social Media—0
AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis—0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning—0
An Extensible Framework for Verification of Numerical Claims—0
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours—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
Spotting Rumors via Novelty Detection—0
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations—0
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language—0
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
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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