This paper is in the following e-collection/theme issue:

Psychotic Disorders (194) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Peer-to-Peer Support and Online Communities (797) Mass Media/Social Media Communication and Campaigns (574) Methods and New Tools in Mental Health Research (558) Discourse (40)

Published on in Vol 8, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30311, first published .
Social Semiotics of Gangstalking Evidence Videos on YouTube: Multimodal Discourse Analysis of a Novel Persecutory Belief System

Social Semiotics of Gangstalking Evidence Videos on YouTube: Multimodal Discourse Analysis of a Novel Persecutory Belief System

Social Semiotics of Gangstalking Evidence Videos on YouTube: Multimodal Discourse Analysis of a Novel Persecutory Belief System

Authors of this article:

Andrew Lustig1 Author Orcid Image ;   Gavin Brookes2 Author Orcid Image ;   Daniel Hunt3 Author Orcid Image
Article Authors Cited by (6) Tweetations (44) Metrics

Journals

  1. Suárez-Llevat C, Jiménez-Gómez B, Ruiz-Núñez C, Fernández-Quijano I, Rodriguez-González E, de la Torre-Domingo C, Herrera-Peco I. Social networks use in the context of Schizophrenia: a review of the literature. Frontiers in Psychiatry 2024;15 View
  2. De Fina A. Bonding with followers: Chronotopes and scales in political communication on Instagram. Discourse Studies 2025;27(2):192 View
  3. Reed J. They Will Surveil You to Death: Gangstalking as a Cultural Concept of Distress. Culture, Medicine, and Psychiatry 2025;49(1):281 View
  4. Mısır H. Design and construction of a social media corpus: Influencers’ speech in vlogs. Research in Corpus Linguistics 2024;12(2):203 View

Books/Policy Documents

  1. De Fina A, Koh J. Experiencing Digital Discourses. View

Conference Proceedings

  1. Kiguchi S, Subramanian P. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). Strategic Approach for Improving Advertising Revenue Through a Data Driven approach: Case Study of YouTube, Japan View