Work

TUB at WANLP22 Shared Task: Using Semantic Similarity for Propaganda Detection in Arabic

Year: 2022

Type: conference-paper

Abstract: Propaganda and the spreading of fake news through social media have become serious problems in recent years.In this paper, we present our approach for the shared task on propaganda detection in Arabic in which the goal is to identify propaganda techniques in the Arabic social media text.We propose a semantic similarity detection model to compare text in the test set with the sentences in the train set to find the most similar instances.The label of the target text is obtained from the most similar texts in the train set.The proposed model obtained a micro-F1 score of 0.494 on the test data set.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/2022.wanlp-1.57

Authors: Salar Mohtaj, Sebastian Möller

Institutions: German Research Centre for Artificial Intelligence, Technische Universität Berlin

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4385567163

FWCI: 1.556

Cites: 17

Cited by: 3

Related to: 10