misinformation
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A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration
As the COVID-19 pandemic continues its march around the world, an unprecedented amount of open data is being generated for genetics and epidemiological research.
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
Identifying public misinformation is a complicated and challenging task.
Ranked #3 on
Fake News Detection
on FNC-1
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
• BinWang28/SBERT-WK-Sentence-Embedding
• 
While misinformation and disinformation have been thriving in social media for years, with the emergence of the COVID-19 pandemic, the political and the health misinformation merged, thus elevating the problem to a whole new level and giving rise to the first global infodemic.
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
• easonnie/combine-FEVER-NSMN
•
The increasing concern with misinformation has stimulated research efforts on automatic fact checking.
Some Like it Hoax: Automated Fake News Detection in Social Networks
As a contribution towards this objective, we show that Facebook posts can be classified with high accuracy as hoaxes or non-hoaxes on the basis of the users who "liked" them.
CoAID: COVID-19 Healthcare Misinformation Dataset
As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire.
Finding Streams in Knowledge Graphs to Support Fact Checking
• shiralkarprashant/knowledgestream
• 
The volume and velocity of information that gets generated online limits current journalistic practices to fact-check claims at the same rate.
CSI: A Hybrid Deep Model for Fake News Detection
Specifically, we incorporate the behavior of both parties, users and articles, and the group behavior of users who propagate fake news.
Large Arabic Twitter Dataset on COVID-19
The 2019 coronavirus disease (COVID-19), emerged late December 2019 in China, is now rapidly spreading across the globe.
The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity
Misinformation detection at the level of full news articles is a text classification problem.
DOMAIN GENERALIZATION FAKE NEWS DETECTION MISINFORMATION TEXT CLASSIFICATION