Year: 2022
Type: conference-paper
Abstract: Propaganda is information or ideas that an organised group or government spreads to influence peopleś opinions, especially by not giving all the facts or secretly emphasising only one way of looking at the points.The ability to automatically detect propaganda-related language is a challenging task that researchers in the NLP community have recently started to address.This paper presents the participation of our team AraBEM in the propaganda detection shared task on Arabic tweets.Our system utilised a pre-trained BERT model to perform multi-class binary classification.It attained the best score at 0.602 micro-f1, ranking third on subtask-1, which identifies the propaganda techniques as a multilabel classification problem with a baseline of 0.079.
Authors: Eshrag Ali Refaee, Basem Ahmed, Motaz Saad
Institutions: Jazan University, Al-Aqsa University, Islamic University of Gaza
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4385567184