Leveraging Soft Power: A Study of Emirati Online Journalism Through Arabic Topic Modeling

Khalaf Tahat, Ahmed Mansoori, Dina Naser Tahat, Mohammad Habes, Said Salloum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study examines Emirati soft power strategies based on Arabic online journalism by analyzing and categorizing posts and comments on the Facebook pages of Arabic newspapers. This study focuses on the Facebook pages of five Emirate journals, encompassing 60,619 posts and comments. Applying Arabic topic modeling, this study identifies prevalent themes and sheds light on how the United Arab Emirates (UAE) employs digital media to influence global perceptions. This analysis enriches the discourse on digital diplomacy by offering insights into modern diplomatic practices and the role of media in international relations. It underscores the synergy between Emirati soft power efforts and Arabic online journalism, contributing to the current understanding of contemporary diplomacy’s digital dynamics.

Original languageEnglish
Title of host publicationTechnology and Business Model Innovation
Subtitle of host publicationChallenges and Opportunities - Proceedings of the International Conference on Business and Technology ICBT2023
EditorsBahaaeddin Alareeni, Allam Hamdan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages13-20
Number of pages8
ISBN (Print)9783031559105
DOIs
Publication statusPublished - 2024
EventInternational Conference on Business and Technology, ICBT 2023 - Manama, Bahrain
Duration: May 7 2023May 9 2023

Publication series

NameLecture Notes in Networks and Systems
Volume923 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Business and Technology, ICBT 2023
Country/TerritoryBahrain
CityManama
Period5/7/235/9/23

Keywords

  • Arabic Topic Modeling
  • Digital Diplomacy
  • Emirati Online Journalism
  • Global Influence
  • Soft Power

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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