Misinformation
287 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
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
The rapid proliferation of AI-generated text online is profoundly reshaping the information landscape.
Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs
ethz-spylab/rlhf_trojan_competition
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Large language models are aligned to be safe, preventing users from generating harmful content like misinformation or instructions for illegal activities.
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.
U-Phylogeny: Undirected Provenance Graph Construction in the Wild
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through doctored visual media.
Finding Streams in Knowledge Graphs to Support Fact Checking
shiralkarprashant/knowledgestream
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The volume and velocity of information that gets generated online limits current journalistic practices to fact-check claims at the same rate.
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Online social networking sites are experimenting with the following crowd-powered procedure to reduce the spread of fake news and misinformation: whenever a user is exposed to a story through her feed, she can flag the story as misinformation and, if the story receives enough flags, it is sent to a trusted third party for fact checking.
Authorship verification in the absence of explicit features and thresholds
Moreover, many existing AV methods are based on explicit thresholds (needed to accept or reject a stated authorship), which are determined on training corpora.
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News
nguyenvo09/CombatingFakeNews
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The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018 2018
To fill this gap, in this paper, we (i) collect and analyze online users called guardians, who correct misinformation and fake news in online discussions by referring fact-checking URLs; and (ii) propose a novel fact-checking URL recommendation model to encourage the guardians to engage more in fact-checking activities.
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.
Generate, Segment and Refine: Towards Generic Manipulation Segmentation
The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being shared on the internet.
