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Found 8 papers, 5 papers with code
Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation
The current vogue is to employ manual fact-checkers to verify claims to combat this avalanche of misinformation.
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans
However, the sheer volume of information makes it difficult to identify fake news effectively.
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media
Claim span identification (CSI) is an important step in fact-checking pipelines, aiming to identify text segments that contain a checkworthy claim or assertion in a social media post.
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
To evaluate the effectiveness of our proposed model, we meticulously compile a comprehensive real-world dataset, CLAN, comprising more than 6k instances of social media posts alongside their respective normalized claims.
Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking
Currently, these claims are manually verified by fact-checkers.
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter
The current vogue is to employ manual fact-checkers to efficiently classify and verify such data to combat this avalanche of claim-ridden misinformation.
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web
To demarcate between a claim and a non-claim is arduous for both humans and machines, owing to latent linguistic variance between the two and the inadequacy of extensive definition-based formalization.
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content
We resolve the latter issue by annotating a Twitter dataset which aims at providing a testing ground on a large unstructured dataset.
