Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23829, first published .
Unique Internet Search Strategies of Individuals With Self-Stated Autism: Quantitative Analysis of Search Engine Users’ Investigative Behaviors

Unique Internet Search Strategies of Individuals With Self-Stated Autism: Quantitative Analysis of Search Engine Users’ Investigative Behaviors

Unique Internet Search Strategies of Individuals With Self-Stated Autism: Quantitative Analysis of Search Engine Users’ Investigative Behaviors

Authors of this article:

Eldad Yechiam1 Author Orcid Image ;   Elad Yom-Tov1, 2 Author Orcid Image

Journals

  1. Zeif D, Yakobi O, Yechiam E, Marshall A. Choice behavior in autistic adults: What drives the extreme switching phenomenon?. PLOS ONE 2023;18(3):e0282296 View
  2. Xie I, Choi W, Lee H, Hong B, Wang S. Investigating the interactions between individuals with disabilities and information retrieval systems: A review of help‐seeking situations, search tactics, and design recommendations. An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology 2026;77(1):62 View
  3. Duffin S, Bath P, Sbaffi L. The role of online groups for autistic people in users’ autism information journeys. Journal of Documentation 2025;81(4):1095 View
  4. Link S, Roth Y, Yechiam E. On the Difficulty of Making Social Choices in Autistic Adults: A Decisions from Experience Study. Education and Training in Autism and Developmental Disabilities 2024;59(2):217 View
  5. Dong H, Gong Y, Zhao Z, Wang K, Zhang X, Ji F. Quality and reliability of sarcopenia-related videos on BiliBili and TikTok: a cross-sectional content analysis study. BMC Public Health 2026 View

Books/Policy Documents

  1. Mejova Y. Handbook of Computational Social Science for Policy. View