Misinformation
99 papers with code • 1 benchmarks • 24 datasets
Benchmarks
These leaderboards are used to track progress in Misinformation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Datasets
LIAR
DFDC
Hateful Memes
Hateful Memes Challenge
FakeNewsNet
MEIR
Most implemented papers
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
Identifying public misinformation is a complicated and challenging task.
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
The proliferation of fake news, i. e., news intentionally spread for misinformation, poses a threat to individuals and society.
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
Komal7209/BackUp-Twitter-Sentiment-Analysis-
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The analysis is presented and updated on a publically accessible dashboard (https://usc-melady. github. io/COVID-19-Tweet-Analysis) to track the nature of online discourse and misinformation about COVID-19 on Twitter from March 1 - June 5, 2020.
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.
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
atulkumarin/DeClare
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EMNLP 2018
Misinformation such as fake news is one of the big challenges of our society.
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
easonnie/combine-FEVER-NSMN
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The increasing concern with misinformation has stimulated research efforts on automatic fact checking.
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.
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
BinWang28/SBERT-WK-Sentence-Embedding
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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.
Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach
Thus, it is important to detect and control the misinformation in such platforms before it spreads to the masses.
Evidence-based Factual Error Correction
j6mes/2021-acl-factual-error-correction
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This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is better supported by evidence.
