PANACEA: An Automated Misinformation Detection System on COVID-19
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available.
Code (0)
등록된 구현이 없습니다.
Tasks
Fact CheckingMisinformationNatural Language InferenceRumour DetectionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinformation related to the COVID-19 pandemic. W…
MisinformationNatural Language InferenceRetrievalCOVIDLies: Detecting COVID-19 Misinformation on Social Media
The ongoing pandemic has heightened the need for developing tools to flag COVID-19-related misinformation on the internet, specifically on social media such as Twitter. However, due to novel language and the rapid change…
MisconceptionsMisinformationRetrievalStance DetectionAMIR: Automated MisInformation Rebuttal -- A COVID-19 Vaccination Datasets based Recommendation System
Misinformation has emerged as a major societal threat in recent years in general; specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by fuelling vaccine hesitancy. Cost-effective, s…
ArticlesMisinformationTesting the Generalization of Neural Language Models for COVID-19 Misinformation Detection
A drastic rise in potentially life-threatening misinformation has been a by-product of the COVID-19 pandemic. Computational support to identify false information within the massive body of data on the topic is crucial to…
ArticlesMisinformationAutomatic Detection of COVID-19 Vaccine Misinformation with Graph Link Prediction
Enormous hope in the efficacy of vaccines became recently a successful reality in the fight against the COVID-19 pandemic. However, vaccine hesitancy, fueled by exposure to social media misinformation about COVID-19 vacc…
Link PredictionMisinformation