Seminar users in the arabic twitter sphere

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

11 Citations (Scopus)

Abstract

We introduce the notion of “seminar users”, who are social media users engaged in propaganda in support of a political entity. We develop a framework that can identify such users with 84.4% precision and 76.1% recall. While our dataset is from the Arab region, omitting language-specific features has only a minor impact on classification performance, and thus, our approach could work for detecting seminar users in other parts of the world and in other languages. We further explored a controversial political topic to observe the prevalence and potential potency of such users. In our case study, we found that 25% of the users engaged in the topic are in fact seminar users and their tweets make nearly a third of the on-topic tweets. Moreover, they are often successful in affecting mainstream discourse with coordinated hashtag campaigns.

Original languageEnglish
Title of host publicationSocial Informatics - 9th International Conference, SocInfo 2017, Proceedings
PublisherSpringer Verlag
Pages91-108
Number of pages18
ISBN (Print)9783319672168
DOIs
Publication statusPublished - 1 Jan 2017
Event9th International Conference on Social Informatics, SocInfo 2017 - Oxford, United Kingdom
Duration: 13 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10539 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Social Informatics, SocInfo 2017
CountryUnited Kingdom
CityOxford
Period13/9/1715/9/17

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Keywords

  • Astroturfing
  • Malicious users
  • Politics
  • Propaganda
  • Seminar users
  • Social bots
  • Social media
  • Twitter

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Darwish, K., Alexandrov, D., Nakov, P., & Mejova, Y. (2017). Seminar users in the arabic twitter sphere. In Social Informatics - 9th International Conference, SocInfo 2017, Proceedings (pp. 91-108). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10539 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-67217-5_7