no code implementations • CONSTRAINT (ACL) 2022 • Megha Sundriyal, Ganeshan Malhotra, Md Shad Akhtar, Shubhashis Sengupta, Andrew Fano, Tanmoy Chakraborty
The current vogue is to employ manual fact-checkers to verify claims to combat this avalanche of misinformation.
no code implementations • 30 Oct 2023 • Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
However, the sheer volume of information makes it difficult to identify fake news effectively.
1 code implementation • 27 Oct 2023 • Shubham Mittal, Megha Sundriyal, Preslav Nakov
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.
1 code implementation • 22 Oct 2023 • Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov
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.
no code implementations • 17 Sep 2023 • Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
Currently, these claims are manually verified by fact-checkers.
1 code implementation • 10 Oct 2022 • Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md Shad Akhtar, Tanmoy Chakraborty
The current vogue is to employ manual fact-checkers to efficiently classify and verify such data to combat this avalanche of claim-ridden misinformation.
1 code implementation • 19 Aug 2021 • Megha Sundriyal, Parantak Singh, Md Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty
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.
1 code implementation • EACL 2021 • Shreya Gupta, Parantak Singh, Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
We resolve the latter issue by annotating a Twitter dataset which aims at providing a testing ground on a large unstructured dataset.