activity
20242026
most citedClaim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research

20 citations · 36 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.SI2025★ 1 cited

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…

cs.CL2025★ 1 cited

MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters

Rrubaa Panchendrarajan, Rubén Míguez, 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…

cs.CL2025

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…

cs.CL2024★ 1 cited

FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning

Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga

The rapid dissemination of information through social media and the Internet has posed a significant challenge for fact-checking, among others in identifying check-worthy claims th…

cs.AI2024★ 4 cited

AI Insights: A Case Study on Utilizing ChatGPT Intelligence for Research Paper Analysis

Anjalee De Silva, Janaka L. Wijekoon, Rashini Liyanarachchi +2

This paper discusses the effectiveness of leveraging Chatbot: Generative Pre-trained Transformer (ChatGPT) versions 3.5 and 4 for analyzing research papers for effective writing of…

cs.CL2024★ 9 cited

Crisis talk: analysis of the public debate around the energy crisis and cost of living

Rrubaa Panchendrarajan, Geri Popova, Tony Russell-Rose

A prominent media topic in the UK in the early 2020s is the energy crisis affecting the UK and most of Europe. It brings into a single public debate issues of energy dependency and…

cs.CL2024

Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing

Rrubaa Panchendrarajan, Arkaitz Zubiaga

The advancement of machine learning and symbolic approaches have underscored their strengths and weaknesses in Natural Language Processing (NLP). While machine learning approaches…

cs.CL2024★ 20 cited

Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research

Rrubaa Panchendrarajan, Arkaitz Zubiaga

Automated fact-checking has drawn considerable attention over the past few decades due to the increase in the diffusion of misinformation on online platforms. This is often carried…