6 papers
Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
Rrubaa Panchendrarajan, Arkaitz Zubiaga
Recurrent claims present a major challenge for automated fact-checking systems designed to combat misinformation, especially in multilingual settings. While tasks such as claim mat…
ContextClaim: A Context-Driven Paradigm for Verifiable Claim Detection
Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga
Automated fact-checking pipelines typically begin with a filtering stage that decides which claims are worth verifying, given that the later evidence retrieval and verification com…
MultiCaption: Detecting disinformation using multilingual visual claims
Rafael Martins Frade, Rrubaa Panchendrarajan, Arkaitz Zubiaga
Online disinformation poses an escalating threat to society, driven increasingly by the rapid spread of misleading content across both multimedia and multilingual platforms. While…
Entity-aware Cross-lingual Claim Detection for Automated Fact-checking
Rrubaa Panchendrarajan, Arkaitz Zubiaga
Identifying claims requiring verification is a critical task in automated fact-checking, especially given the proliferation of misinformation on social media platforms. Despite not…
Social Media and Academia: How Gender Influences Online Scholarly Discourse
Rrubaa Panchendrarajan, Harsh Saxena, Akrati Saxena
This study investigates gender-based differences in online communication patterns of academics, focusing on how male and female academics represent themselves and how users interac…
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
Rrubaa Panchendrarajan, Rubén MÃguez, Arkaitz Zubiaga
In the context of fact-checking, claims are often repeated across various platforms and in different languages, which can benefit from a process that reduces this redundancy. While…