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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 51–98 of 98 papers

TitleStatusHype
PESTO: A Post-User Fusion Network for Rumour Detection on Social Media—0
Point Process Modelling of Rumour Dynamics in Social Media—0
Processing and Normalizing Hashtags—0
QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions—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
Revisiting Rumour Stance Classification: Dealing with Imbalanced Data—0
Rumour Detection and Analysis on Twitter—0
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset—0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
RumourEval 2019: Determining Rumour Veracity and Support for Rumours—0
SCRum-9: Multilingual Stance Classification over Rumours on Social Media—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
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
Rumour Detection via News Propagation Dynamics and User Representation Learning—0
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses—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
A semi-supervised approach to message stance classification—0
A semi-supervised model for Persian rumor verification based on content information—0
A Speech Act Classifier for Persian Texts and its Application in Identifying Rumors—0
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models—0
Automatic and Manual Web Annotations in an Infrastructure to handle Fake News and other Online Media Phenomena—0
BERT based classification system for detecting rumours on Twitter—0
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification—0
BLCU\_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation—0
Can Rumour Stance Alone Predict Veracity?—0
Classifying Tweet Level Judgements of Rumours in Social Media—0
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter—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