Work

PD-AR at ArAIEval Shared Task: A BERT-Centric Approach to Tackle Arabic Disinformation

Year: 2023

Type: conference-paper

Abstract: This work explores Arabic disinformation identification, a crucial task in natural language processing, using a state-of-the-art NLP model.We highlight the performance of our system model against baseline models, including multilingual and Arabic-specific ones, and showcase the effectiveness of domain-specific pre-trained models.This work advocates for the adoption of tailored pre-trained models in NLP, emphasizing their significance in understanding diverse languages.By merging advanced NLP techniques with domain-specific pre-training, it advances Arabic disinformation identification.

Source: Arabic Natural Language Processing Conference (ArabicNLP)

DOI: 10.18653/v1/2023.arabicnlp-1.57

Authors: Pritam Deka, Ashwathy Revi

Institutions: Queen's University Belfast, University of Southampton

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4389518320

FWCI:

Cites: 28

Cited by:

Related to: 10