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

Infoveillance and Social Listening (320) Loneliness and Social Isolation (156) Infodemiology and Infoveillance (1588) mHealth for Data Collection and Research (1243)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65610, first published .
Characterizing Experiences With Hikikomori Syndrome on Twitter Among Japanese-Language Users: Qualitative Infodemiology Content Analysis

Characterizing Experiences With Hikikomori Syndrome on Twitter Among Japanese-Language Users: Qualitative Infodemiology Content Analysis

Characterizing Experiences With Hikikomori Syndrome on Twitter Among Japanese-Language Users: Qualitative Infodemiology Content Analysis

Authors of this article:

Misa Ashley Uchiyama1 Author Orcid Image ;   Hirofumi Bekki2 Author Orcid Image ;   Tiana McMann1, 3, 4 Author Orcid Image ;   Zhuoran Li1, 4 Author Orcid Image ;   Tim Mackey1, 3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Esposito V, Addeo F. Hikikomori 2.0: A Mixed Method Investigation to Reconceptualization the Social Withdrawal in the Digital Age. Societies 2025;15(9):260 View
  2. Usami M, Mizumoto Y, Inazaki K, Hakoshima Y, Itagaki K, Yamamoto K, Tsujimoto T, Yamasaki M, Saito K. Identifying hub functions and collaboration patterns in hikikomori support networks: A nationwide cross‐sectional study. Psychiatry and Clinical Neurosciences Reports 2026;5(1) View