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Rumour Detection
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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.
논문
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An Analytical Emotion Framework of Rumour Threads on Social Media
Contrastive Token-level Explanations for Graph-based Rumour Detection
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
Rumour Evaluation with Very Large Language Models
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT
Rumour Detection and Analysis on Twitter
Verifying the Robustness of Automatic Credibility Assessment
PANACEA: An Automated Misinformation Detection System on COVID-19
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Detecting Rumours with Latency Guarantees using Massive Streaming Data
Evaluating BERT-based Pre-training Language Models for Detecting Misinformation
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management
What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses
Rumour Detection via Zero-shot Cross-lingual Transfer Learning
Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language
BERT based classification system for detecting rumours on Twitter
The Surprising Performance of Simple Baselines for Misinformation Detection
A Survey on Stance Detection for Mis- and Disinformation Identification
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection
Measuring What Counts: The case of Rumour Stance Classification
QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity
Estimating predictive uncertainty for rumour verification models
Claim Check-Worthiness Detection as Positive Unlabelled Learning
A Model to Measure the Spread Power of Rumors
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