Misinformation
279 papers with code • 1 benchmarks • 38 datasets
Benchmarks
These leaderboards are used to track progress in Misinformation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Datasets
Hateful Memes
LIAR
DFDC
Hateful Memes Challenge
FakeNewsNet
MEIR
Most implemented papers
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge
In this work, we present NewsClaims, a new benchmark for attribute-aware claim detection in the news domain.
Logical Fallacy Detection
In this paper, we propose the task of logical fallacy detection, and provide a new dataset (Logic) of logical fallacies generally found in text, together with an additional challenge set for detecting logical fallacies in climate change claims (LogicClimate).
Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: a Study on Indonesian Tweets
Although there were already several studies related to the detection of misinformation in social media data, most studies focused on the English dataset.
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19
yueeeeeeee/canmd
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However, early misinformation often demonstrates both conditional and label shifts against existing misinformation data (e. g., class imbalance in COVID-19 datasets), rendering such methods less effective for detecting early misinformation.
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
With recent advancements in diffusion models, users can generate high-quality images by writing text prompts in natural language.
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
ictmcg/fakesv
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With information consumption via online video streaming becoming increasingly popular, misinformation video poses a new threat to the health of the online information ecosystem.
VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias
stevejpapad/image-text-verification
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Multimedia content has become ubiquitous on social media platforms, leading to the rise of multimodal misinformation (MM) and the urgent need for effective strategies to detect and prevent its spread.
Interpretable Multimodal Misinformation Detection with Logic Reasoning
less-and-less-bugs/logicmd
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Multimodal misinformation on online social platforms is becoming a critical concern due to increasing credibility and easier dissemination brought by multimedia content, compared to traditional text-only information.
Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites
hanshanley/machine-made-media
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We find that between January 1, 2022, and May 1, 2023, the relative number of synthetic news articles increased by 57. 3% on mainstream websites while increasing by 474% on misinformation sites.
Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated Text
clement1290/chatgpt-detection-pr-hppt
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Despite this, most previous studies have been predominantly geared towards creating detectors that differentiate between purely ChatGPT-generated texts and human-authored texts.
