Twitter Propaganda Operations: Analyzing Sociopolitical Issues in Saudi Arabia

Craig Douglas Albert, Ahmed Aleroud, Yufan Yang, Abdullah Melhem, Josh Rutland

Research output: Contribution to journalArticlepeer-review

Abstract

The purpose of this article is to explore Arabic-language Tweets based out of Saudi Arabia to investigate the social media landscape. Specifically, this article seeks to address the question, “What thematic issues concerning the U.S. socio-political landscape are present in Arabic-language Twitter postings?” And, “To what extent can these issues be described as propagandic in nature?” To do so, we propose a machine-learning and artificial intelligence span detection approach to identify propaganda Tweets in Middle Eastern Countries, with a focus on Saudi Arabia. As opposed to previous work, this article maps and investigates different propaganda categories using the BEND Social Cyber Security framework. This article then proceeds to a case study analysis of state-sponsored targeted propaganda from Saudi Arabia and briefly describes the categories of propaganda uncovered. We then relate those categories to the BEND Framework and conclude with policy recommendations and discussion.

Original languageEnglish (US)
JournalSocial Media and Society
Volume9
Issue number4
DOIs
StatePublished - Oct 1 2023

Keywords

  • BEND framework
  • Saudi Arabia
  • artificial intelligence
  • machine learning
  • social media analysis
  • the Middle East

ASJC Scopus subject areas

  • Cultural Studies
  • Communication
  • Computer Science Applications

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